Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

Freddie’s Flowers was founded by Freddie Garland in October 2014 with one ambition: to change people’s relationship with flowers. We believe flowers aren’t only for grand occasions, but they make every day special, inspiring creativity and sparking joy.

Our starting point was our direct-to-consumer subscription model, helping us grow a loyal UK following. We launched in Germany in 2020, and then in 2021 we secured significant backing from The Craftory, a like-minded purpose-led global investment house, helping us expand, develop and grow. 2023 saw us start our gifting service – bringing the best of Freddie’s Flowers to everyone who needs it (even last minute!).

From the seed of an idea we continue to flourish; we’re now a B Corp organisation. And our founding mission remains unchanged – to change the world of flowers, and to change the world with flowers.

The Opportunity

Technology is the operating system of this business. Every customer interaction and every commercial decision flows through it. The goal is to make that operating system fast, reliable, and commercially intelligent. To make engineering the function that enables growth, not the one that responds to it.

The strategic direction is set and board-backed. The Head of Engineering owns its execution and will shape what good looks like in practice. That means ensuring a high-performing team, establishing the architecture that will carry the business through its next stage, and creating the conditions for engineering to operate as a genuine partner with a seat at the table when commercial decisions are made.

There is material commercial upside that has not yet been realised. Partnering with the Commercial function around customer data that could sharpen targeting and improve retention offers a significant opportunity. Demand forecasting, pricing optimisation, and AI integration across the product are further opportunities requiring ownership & delivery. This role has the mandate and the board visibility to pursue all of it.

What You Will Do

– Own the technology strategy end-to-end and deliver against measurable milestones

– Set the bar for a high-quality engineering team across hiring, standards, culture

– Establish engineering as a product partner, shaping the commercial roadmap as well as executing it

– Make the architecture and infrastructure decisions that will carry the business forward

– Lead the AI integration agenda across the product and the wider business

– Represent technology at leadership level with clarity and commercial authority

What We Need

– Scaled engineering in a DTC or subscription business. You know what breaks under real commercial pressure

– Hands-on technical depth: AWS-native, comfortable with architecture decisions, capable of writing production code when it matters

– Has hired engineers and built teams before

– Commercially literate. Frames technology in terms of cost, risk, and revenue, and is comfortable in a board conversation

– Motivated by what gets shipped and what it delivers, not the sophistication of the solution

Why Take This Role

– Full ownership: you are leading this team and this function. The architecture, the hiring, the standards. All yours, from day one

– A brand worth building for: Freddie’s has a genuine founder story, a loyal subscription customer base, and a floristry-first identity that sets it apart in a crowded market

– Commercial impact at scale: the data asset, the AI agenda, the shift to a mixed subscription and gifting model. There is material commercial upside for a technology leader who executes well

– Board visibility: you sit in the leadership team, report to the CGO, and have direct access to the people making the strategic decisions

– A real brief with backing to match: the strategic direction is agreed, the investment is committed, and the mandate is clear. This is not a role where you spend six months working out what to do

• Option to buy extra holiday days
• Discounted flowers for friends/family
• WFH (where applicable)
• Learning and Development Support
• Cycle to work scheme
• Employee Assistance Programme
• Discounted gym membership
• Cash plan with Medicash
• Health and wellbeing sessions with The Mind Clinic
• Team socials and events

Inclusion:

Freddie’s Flowers recognises our success is dependent on the success of our people. Freddie’s Flowers is committed to creating an inclusive work environment with a diverse workforce where everyone feels safe and valued. All applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI.

Location: Hybrid—Santa Clara, CA headquarters, 3–5 days/week onsite

Team: Kernels | Reports to: Engineering Manager, Kernels

Cross-functional interface: QA / Test Engineering

About the Role

We are looking for a Staff Software Engineer, Test & Validation – AI Kernels to embed within our Kernels team and own the quality engineering function for our AI compute software stack. You will design and build the test infrastructure, validation frameworks, and automated verification pipelines that ensure correctness, performance, and reliability of software kernels running on next-generation AI hardware. You will serve as the primary quality interface between the Kernels team and the broader QA organization, driving alignment on test strategy, coverage, and release readiness.

This is a high-impact, deeply technical role that requires both strong software engineering skills and a rigorous quality mindset. You will work alongside compiler engineers, ML software engineers, and hardware architects while partnering closely with QA leads to define standards and share best practices across the company.

What You Will Do

Test Infrastructure & Automation

• Design, build, and maintain scalable automated test frameworks for kernel validation across simulation, emulation, and silicon targets.

• Develop correctness and performance regression suites covering ML operators (GEMMs, convolutions, BLAS, SIMD ops, softmax, layer norm, pooling, etc.).

• Implement testing pipelines integrated into CI/CD workflows, enabling rapid feedback on kernel changes.

• Build tooling to automate comparison of kernel outputs against reference implementations (e.g., CPU-based golden references, PyTorch/TensorFlow baselines).

Kernel & Hardware Validation

• Develop test coverage for software kernels targeting specialized hardware including AI accelerators, DSPs, FPGAs, and SIMD vector processors (e.g., Tensilica).

• Validate numerical precision, edge cases, and boundary conditions for ML operators across data types and hardware configurations.

• Partner with hardware teams (mixed signal, DSP, CPU) to validate hardware-software co-design assumptions and catch integration issues early.

• Drive validation of compiler-generated code paths (MLIR, LLVM, TVM, etc.) through structured test methodologies.

QA Partnership & Process

• Act as the primary liaison between the Kernels engineering team and the QA organization, aligning on test plans, coverage criteria, and release qualification gates.

• Participate in QA planning ceremonies; represent Kernels team needs and surface quality risks early.

• Contribute to and help maintain shared QA infrastructure, test standards, and reporting dashboards used across engineering.

• Drive root cause analysis for test failures and escaped defects; work with Kernels engineers to close gaps.

Technical Leadership

• Set quality standards and best practices for the Kernels team; mentor engineers on testability design and defensive coding.

• Contribute to design reviews with a quality lens, identifying areas that require additional validation before tape-out or release.

• Influence test strategy across the full software stack: from unit and integration tests to system-level validation on target hardware.

What You Will Bring

Minimum Qualifications

• BSc in Computer Engineering, Computer Science, Math, Physics, or a related field with 6+ years of industry experience; or MS with 4+ years of experience; or PhD with 2+ years of experience, with at least 2 years focused on test engineering, SDET, or quality engineering roles.

• Strong understanding of computer architecture, data structures, and machine learning fundamentals, sufficient to reason about correctness and performance of ML kernels.

• Proficient in C/C++ and Python; experience writing production-quality test code in these languages in Linux environments.

• Experience writing automated tests for algorithms targeting specialized hardware such as GPUs, DSPs, FPGAs, or AI accelerators (e.g., using CUDA or equivalent).

• Familiarity with ML operators commonly used in production workloads: GEMMs, convolutions, BLAS, SIMD operations, softmax, layer normalization, pooling, and similar.

• Experience building or working within CI/CD pipelines and automated regression systems.

• Track record of owning quality outcomes, not just executing tests but defining strategy, coverage, and release readiness criteria.

• Strong cross-functional communication skills; comfortable working across hardware and software teams and representing quality concerns to non-QA stakeholders.

Preferred Qualifications

• Experience embedded in a hardware-adjacent software team (AI accelerator company, cloud compute, or similar) rather than a purely software QA role.

• Hands-on experience with ML frameworks such as PyTorch or TensorFlow, including the ability to write reference implementations for operator validation.

• Familiarity with ML compiler toolchains (MLIR, LLVM, TVM, Glow, etc.) and how to test compiler-generated artifacts.

• Experience with embedded SIMD vector processors such as Tensilica.

• Prior startup or small-team experience; comfort operating with high ownership and limited process overhead.

• Experience defining and implementing formal test plans and coordinating release qualification with a QA organization.

Why This Role

You will have a direct impact on the correctness and quality of AI compute software that ships in next-generation hardware products. As the first Staff SDET on the Kernels team, you will build quality infrastructure from the ground up and establish practices that will scale with the organization. You will work with some of the best compiler and kernel engineers in the industry, with the unique vantage point of sitting at the intersection of hardware and software quality.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)

Job Description:

Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.

Must Have:

• Experience Working with Clean Utilities Systems such as Distilled Water, Purified Water, RO System.
• Experience working on Clean Gases [Process Air, GMP gases supply like Oxygen, Nitrogen]
• Experience documenting and managing Deviation [non-conformance]
• Proficient in GMP documentation and the process improvement of SOP documents.
• Ability to work on Critical Operation and Capital project environment.

Qualifications:

1. Working knowledge of pharmaceutical/biotech processes.

2. Familiarity with validation processes and documentation in a highly regulated environment.

3. Establish engineering policies for a major segment of the company.

4. Interpret, execute, and recommend modifications to company-wide policies.

5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.

6. Ability to interpret and apply GLPs and GMPs.

7. Able to develop solutions to routine technical problems of limited scope

8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.

9. Comprehensive understanding of validation protocol execution requirements.

Education:

Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.

Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)

Job Description:

Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.

Requirements (Must Have):

• Experience Working with Clean Utilities Systems such as Distilled Water, Purified Water, RO System.
• Experience working on Clean Gases (Process Air, GMP gases supply like Oxygen, Nitrogen).
• Experience documenting and managing Deviation (non-conformance).
• Proficient in GMP documentation and the process improvement of SOP documents.
• Ability to work on Critical Operation and Capital project environment.

Responsibilities:

1. Working knowledge of pharmaceutical/biotech processes.

2. Familiarity with validation processes and documentation in a highly regulated environment.

3. Establish engineering policies for a major segment of the company.

4. Interpret, execute, and recommend modifications to company-wide policies.

5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.

6. Ability to interpret and apply GLPs and GMPs.

7. Able to develop solutions to routine technical problems of limited scope

8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.

9. Comprehensive understanding of validation protocol execution requirements.

Education:

Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

About MonetizeMoreMonetizeMore is a global pioneer in ad technology, powering ad monetization for over 150,000 websites and apps globally.

This role is part of our INFOnline team, one of our exciting brands at saas.group.INFOnline powers digital audience measurement for the German and Austrian media industry. Our systems process billions...

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We’re looking for a technical leader who can think strategically, understand how new features impact the entire system, and design smart integrations between NICE CXone and (ex) Brand Embassy products. Someone who combines vision, practicality, and solid engineering judgment.

How will you have an impact?

• Define the architecture of new product innovations in collaboration with Product Management and other architects
• Design integrations between microservices/systems across the NICE product portfolio
• Choose the right patterns, frameworks, and technologies – especially within the AWS ecosystem (SQS, Kinesis, ECS, EKS, …)
• Set the technical direction end-to-end and work closely with development teams
• Propose long-term improvements to system quality and architecture
• Act as a technology evangelist within the organization – share best practices and drive improvement
• Work mainly with PHP and JavaScript
• Contribute to the adoption of AI within our products and internal processes
• Collaborate with a global network of architects and engineers
• You’ll shape a global SaaS platform that connects businesses and customers through 30+ digital channels (WhatsApp, Facebook, Instagram, Twitter, and more)
• As the first digital product in NICE, we integrate with both legacy and new systems – so your work will never get repetitive
• You’ll have real influence on technology direction, scaling strategies, and architecture decisions
• Work in a Prague-based R&D team with a great sense of humor and no corporate stiffness

Have you got what it takes?

You should have relevant experience in the below:

• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11089 Reporting into: Tech Manager

Role Type: Individual Contributor

🥇 Software Architect

Máš za sebou roky vývoje v PHP, baví tě přemýšlet nad věcmi v širším kontextu a víš, jak obhájit svůj návrh i před dalšími architekty ve velké technologické firmě?🎯 Super! Možná hledáme právě tebe.

Hledáme technologického lídra, který dokáže domýšlet dopady nových funkcí napříč systémy a navrhovat elegantní integrace mezi produkty NICE CXone a (ex) Brand Embassy. Zkrátka člověka, který dokáže spojit vizi, praxi a technologickou čistotu.

\_\_\_______________________________________________________________________

• 💬 Co u nás budeš dělat:
• Definovat architekturu nových produktových inovací ve spolupráci s product managementem a dalšími architekty
• Navrhovat integrace mezi microservices / systémy napříč NICE portfoliem
• Určovat správné technologické patterny a stack (hlavně v AWS: SQS, Kinesis, ECS, EKS…)
• Nastavovat technický směr end-to-end a úzce spolupracovat s vývojovými týmy
• Navrhovat dlouhodobá zlepšení architektury a kvality kódu
• Být technologickým evangelistou – sdílet know-how a podporovat dobré praktiky
• Pracovat v kontextu PHP, JavaScript a přispívat k zavádění AI do našich procesů i produktů
• Spolupracovat s globálním týmem architektů a vývojářů

\_\_\_______________________________________________________________________

• ⚙️ Co používáme:
• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

\_\_\_______________________________________________________________________

• 🚀 Proč tě to u nás bude bavit:
• Stavíme globální SaaS platformu, která propojuje firmy a jejich zákazníky přes 30+ digitálních kanálů (WhatsApp, FB, IG, Twitter aj.)
• Jako první digitální produkt v NICE se integrujeme napříč staršími i novými systémy – takže se rozhodně nebudeš nudit
• Budeš mít velký prostor ovlivnit směr technologií, škálování i integrace
• Čeká tě tým lidí, co si umí dělat srandu, ale berou kvalitu a architekturu vážně

\_\_\_______________________________________________________________________

• 🎁 Co za to dostaneš ty:
• 🏢 Moderní kancelář v Karlíně – hned u metra Křižíkova
• 🌴 Neomezená dovolená a flexibilní režim (stačí 2× týdně v kanclu)
• 💸 2 500,- v Pluxee bodech na měsíc + stravenkový paušál
• 💡 8 dní na hackathony ročně
• 💸 Plně hrazená nemocenská
• 📚 Rozpočet na vzdělávání
• 🍳 Firemní snídaně a pohodová atmosféra
• ⚽ Fotbálky, klikové výzvy a další kancelářské srandičky
• 🧘 Minimum meetingů – maximum prostoru na práci
• 💻 Firemní notebook
• 🔒 Stabilní zázemí globální firmy

#LI-Hybrid

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We’re looking for a technical leader who can think strategically, understand how new features impact the entire system, and design smart integrations between NICE CXone and (ex) Brand Embassy products. Someone who combines vision, practicality, and solid engineering judgment.

How will you have an impact?

• Define the architecture of new product innovations in collaboration with Product Management and other architects
• Design integrations between microservices/systems across the NICE product portfolio
• Choose the right patterns, frameworks, and technologies – especially within the AWS ecosystem (SQS, Kinesis, ECS, EKS, …)
• Set the technical direction end-to-end and work closely with development teams
• Propose long-term improvements to system quality and architecture
• Act as a technology evangelist within the organization – share best practices and drive improvement
• Work mainly with PHP and JavaScript
• Contribute to the adoption of AI within our products and internal processes
• Collaborate with a global network of architects and engineers
• You’ll shape a global SaaS platform that connects businesses and customers through 30+ digital channels (WhatsApp, Facebook, Instagram, Twitter, and more)
• As the first digital product in NICE, we integrate with both legacy and new systems – so your work will never get repetitive
• You’ll have real influence on technology direction, scaling strategies, and architecture decisions
• Work in a Prague-based R&D team with a great sense of humor and no corporate stiffness

Have you got what it takes?

You should have relevant experience in the below:

• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11089 Reporting into: Tech Manager

Role Type: Individual Contributor

🥇 Software Architect

Máš za sebou roky vývoje v PHP, baví tě přemýšlet nad věcmi v širším kontextu a víš, jak obhájit svůj návrh i před dalšími architekty ve velké technologické firmě?🎯 Super! Možná hledáme právě tebe.

Hledáme technologického lídra, který dokáže domýšlet dopady nových funkcí napříč systémy a navrhovat elegantní integrace mezi produkty NICE CXone a (ex) Brand Embassy. Zkrátka člověka, který dokáže spojit vizi, praxi a technologickou čistotu.

\_\_\_______________________________________________________________________

• 💬 Co u nás budeš dělat:
• Definovat architekturu nových produktových inovací ve spolupráci s product managementem a dalšími architekty
• Navrhovat integrace mezi microservices / systémy napříč NICE portfoliem
• Určovat správné technologické patterny a stack (hlavně v AWS: SQS, Kinesis, ECS, EKS…)
• Nastavovat technický směr end-to-end a úzce spolupracovat s vývojovými týmy
• Navrhovat dlouhodobá zlepšení architektury a kvality kódu
• Být technologickým evangelistou – sdílet know-how a podporovat dobré praktiky
• Pracovat v kontextu PHP, JavaScript a přispívat k zavádění AI do našich procesů i produktů
• Spolupracovat s globálním týmem architektů a vývojářů

\_\_\_______________________________________________________________________

• ⚙️ Co používáme:
• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

\_\_\_______________________________________________________________________

• 🚀 Proč tě to u nás bude bavit:
• Stavíme globální SaaS platformu, která propojuje firmy a jejich zákazníky přes 30+ digitálních kanálů (WhatsApp, FB, IG, Twitter aj.)
• Jako první digitální produkt v NICE se integrujeme napříč staršími i novými systémy – takže se rozhodně nebudeš nudit
• Budeš mít velký prostor ovlivnit směr technologií, škálování i integrace
• Čeká tě tým lidí, co si umí dělat srandu, ale berou kvalitu a architekturu vážně

\_\_\_______________________________________________________________________

• 🎁 Co za to dostaneš ty:
• 🏢 Moderní kancelář v Karlíně – hned u metra Křižíkova
• 🌴 Neomezená dovolená a flexibilní režim (stačí 2× týdně v kanclu)
• 💸 2 500,- v Pluxee bodech na měsíc + stravenkový paušál
• 💡 8 dní na hackathony ročně
• 💸 Plně hrazená nemocenská
• 📚 Rozpočet na vzdělávání
• 🍳 Firemní snídaně a pohodová atmosféra
• ⚽ Fotbálky, klikové výzvy a další kancelářské srandičky
• 🧘 Minimum meetingů – maximum prostoru na práci
• 💻 Firemní notebook
• 🔒 Stabilní zázemí globální firmy

#LI-Hybrid

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

about this roleThe challengeAs a Senior Frontend Engineer & Team Lead, you will play a key role in owning and evolving the frontend domain within a small, highly autonomous squad.

Reports to: Vice President, Engineering

Location: Remote US

Compensation: $240,000 to $300,000 base plus bonus and equity

What We Do:

Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.

Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24⁄7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers’ protection.

Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

What You’ll Do:

Huntress seeks an experienced leader to elevate our Identity Threat Detection and Response (ITDR) teams and deliver purpose-built products for all businesses. In this role, you’ll be responsible for teams that develop our fast-growing ITDR product, which protects over 11M identities across thousands of customers. You will also be responsible for growing a team for one of our newest products, Identity Security Posture Management (ISPM). We’re seeking a passionate, inclusive engineering leader who can bring state-of-the-art engineering practices and deep experience in developing teams and people to accelerate our next growth phase. You will pair highly performing engineers with the leading AI development tools to build rock-solid security products for our customers.

At Huntress, we work with low walls between disciplines because we believe good ideas are everywhere, and the best products come from teams that deeply understand our customers, experiment, and validate their products.

Responsibilities:

• Deliver performant, scalable products iteratively, helping your teams balance incremental customer value delivery with long-term product evolution
• Drive the technical roadmap and best practices for our Identity solutions so they are scalable to accommodate rapid growth and increased user demand
• Innovate new uses for AI development tooling and tune current use to be more efficient over time
• Scale our current ITDR product while building a new team and features for ISPM
• Attract, recruit, and retain top engineering talent
• Hire and coach engineering managers to continue to build and enable great teams
• Set clear expectations with your leaders and ICs, provide regular feedback, and conduct regular performance conversations to foster a high-performing engineering team
• Identify opportunities and implement improvements to both the product and engineering practices and processes to optimize efficiency, quality, and time-to-market
• Collaborate with Huntress’s Architecture, Product Management, and Threat Operations teams to integrate their expertise and needs into our products

What You Bring To The Team:

• 10+ years of experience in engineering leadership, building SaaS products in a modern SaaS environment
• 5+ years of experience at the director level or higher
• Experience with Claude Code or similar AI coding tools
• Experience and knowledge of best practices for scalable delivery of on-premise software agents
• Experience developing, evolving, and maintaining high-volume, scalable solutions
• Deep understanding of organizing engineering teams to deliver customer value iteratively and experience with various approaches such as hypothesis-driven development, Shape Up, Scrum, and Kanban
• Skilled at hiring, building teams, leading, and coaching managers, and performance management
• Demonstrated success working with architecture and product management leaders to develop and execute a shared product and technical vision
• Experience in a fully remote environment

What We Offer:

• 100% remote work environment - since our founding in 2015
• Generous paid time off policy, including vacation, sick time, and paid holidays
• 12 weeks of paid parental leave
• Highly competitive and comprehensive medical, dental, and vision benefits plans
• 401(k) with a 5% contribution regardless of employee contribution
• Life and Disability insurance plans
• Stock options for all full-time employees
• One-time $500 reimbursement for building/upgrading home office
• Annual allowance for education and professional development assistance
• $75 USD/month digital reimbursement
• Access to the BetterUp platform for coaching, personal, and professional growth

Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.

We do discriminate against hackers who try to exploit businesses of all sizes.

Accommodations:

If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response.

Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.

#BI-Remote

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants located in Canadian time zones (EST + CST highly preferred at this time).

Staff Backend Engineer - Platform SysEng

The Opportunity:

Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers’ environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it’s critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

The Internal Engineering Platform (IEP) delivered by the Platform department provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on: cloud infrastructure and capacity management; security; engineering productivity; monitoring and sustainability; and US Federal compliance.

Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products.

What You’ll Be Doing:

We are hiring for the Platform SysEng squad. This is an accelerated, cross-cutting squad that is focused on the maturity and scalability of the platform. Currently, SysEng is working across engineering with a goal of reducing new region build timelines to meet customer demands.

We’re part of a Platform Engineering group that manages infrastructure for the teams that are building some of the most cherished tools - Grafana, Mimir, Loki, Tempo, Pyroscope to name a few.

What Makes You a Great Fit:

• You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.
• You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision.
• As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too.
• You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.
• You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell.
• You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

Requirements:

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
• Demonstrable experience in system design. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Bonus Points For:

• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”.
• Familiarity with Kubernetes scheduling and projects like Karpenter.
• Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.
• Experience with Tanka and/or Jsonnet.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368- CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities

• You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
• You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
• You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
• You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
• You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
• As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
• You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
• You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation.
• You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
• You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.

Job qualifications

Technical Skills

• You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
• You can design and execute cross-functional requirements based on business priorities.
• You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python.
• You have experience with distributed systems and scalable architectures to handle large-scale ML applications.
• You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
• You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
• You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
• You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
• You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services.

Professional Skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Remote

Salary

Benefits: https://www.thoughtworks.com/en-ca/careers/benefits

Salary

$156,000—$251,000 CAD

See here our AI policy.

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Staff Software Engineer (Post-Trade Data)

As an engineer on the Trading Systems team, you’ll architect and solve complex problems that will directly influence the direction of the digital asset space. There’s a wide range of problems to solve at Gemini—from properly securing millions of dollars worth of customer funds, to developing innovative new blockchain products, to shaving microseconds off our API response times. We have a strong culture of code reviews, and a focus on security, with the end goal of writing and shipping high-quality code by getting things right the first time. We want to continue building the best product we can as we scale and grow our business. If you get excited about solving technical challenges that directly impact our customers, clients, and the rest of the Gemini team, we’d love to hear from you.

We are seeking a high-caliber Staff Software Engineer to join our Trading Systems team in Singapore, specifically anchoring our Post-Trade Data stream. In this role, you will be a technical leader responsible for shaping our end-to-end data story. You will solve complex architecture challenges for both near real-time and historical data systems, driving our data landscape strategy forward while ensuring our operational posture remains bulletproof. The ideal candidate is a versatile hybrid—someone with deep, specialized data engineering expertise who is also a well-rounded, hands-on software engineer capable of guiding a tight-knit team.

Responsibilities:

• Technical Leadership & Strategy: Provide technical direction and mentorship to the local engineering team; own the technical roadmap for the post-trade data stream, ensuring scalability, maintainability, and high-quality engineering standards.
• Data Architecture: Design, build, and optimize robust systems to process, store, and serve critical near real-time and historical post-trade data.
• Strategic Initiatives: Drive key strategic data projects, including the integration and optimization of modern technologies like StarRocks to elevate our analytical capabilities.
• Feature Development: Develop new products and product features on the Gemini platform, working as part of a tight-knit team of two to eight developers.
• Code Quality & Security: Review other software engineers’ code for correctness, style, and information security concerns. Engage in refactoring and upgrade projects to continuously improve the codebase.
• Testing & Operations: Write automated tests and work with our QA team to ensure system correctness. Oversee general functionality of risk systems, implement advanced monitoring tools, and maintain a strong operational posture for the post-trade data

pipeline.

• Incident & Issue Management: Identify, coordinate, and manage resolution efforts on processing usage and data bottlenecks, owning technical issues through to resolution.
• Project Delivery: Plan and coordinate project implementation efforts, estimate work schedules, and make well-reasoned technical tradeoffs based on business needs.

Minimum Qualifications:

• Experience: At least 8 years of software engineering experience, with a proven track record of acting as a technical lead or senior architect.
• Language Proficiency: Advanced proficiency in at least one backend language. We use mostly Scala and C++ on our backend and TypeScript on the frontend—it’s great if you’re comfortable in those or if you’re willing to learn.
• Data Engineering Expertise: Heavy hands-on experience in the big data ecosystem, specifically working with distributed processing frameworks like Apache Flink and Apache Spark.
• Execution & Collaboration: The ability to work closely across cross-functional teams, manage complex dependencies, and handle multiple competing priorities in collaboration with peers.
• Mindset: A customer and product-focused mindset, with the ability to balance speed and quality without compromising on security or operational stability.

Preferred Qualifications:

• Industry Experience: Deep work experience or knowledge of the finance industry, payments, exchange systems, or electronic trading systems.
• Crypto & Blockchain: Experience working with or being a power user of Bitcoin, Ethereum, and/or blockchain technology.
• OLAP Technologies: Experience with next-generation OLAP databases (such as StarRocks, ClickHouse, or Apache Pinot) for real-time analytics is a massive plus.

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Comprehensive health plans covered at 100% for employees and dependents
• Long-term incentive in the form of a new hire equity grant
• Paid Parental Leave
• Competitive paid time off

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

Reports to: Vice President, Engineering

Location: Remote US

Compensation: $240,000 to $300,000 base plus bonus and equity

What We Do:

Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.

Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24⁄7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers’ protection.

Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

What You’ll Do:

Huntress seeks an experienced leader to elevate our Identity Threat Detection and Response (ITDR) teams and deliver purpose-built products for all businesses. In this role, you’ll be responsible for teams that develop our fast-growing ITDR product, which protects over 11M identities across thousands of customers. You will also be responsible for growing a team for one of our newest products, Identity Security Posture Management (ISPM). We’re seeking a passionate, inclusive engineering leader who can bring state-of-the-art engineering practices and deep experience in developing teams and people to accelerate our next growth phase. You will pair highly performing engineers with the leading AI development tools to build rock-solid security products for our customers.

At Huntress, we work with low walls between disciplines because we believe good ideas are everywhere, and the best products come from teams that deeply understand our customers, experiment, and validate their products.

Responsibilities:

• Deliver performant, scalable products iteratively, helping your teams balance incremental customer value delivery with long-term product evolution
• Drive the technical roadmap and best practices for our Identity solutions so they are scalable to accommodate rapid growth and increased user demand
• Innovate new uses for AI development tooling and tune current use to be more efficient over time
• Scale our current ITDR product while building a new team and features for ISPM
• Attract, recruit, and retain top engineering talent
• Hire and coach engineering managers to continue to build and enable great teams
• Set clear expectations with your leaders and ICs, provide regular feedback, and conduct regular performance conversations to foster a high-performing engineering team
• Identify opportunities and implement improvements to both the product and engineering practices and processes to optimize efficiency, quality, and time-to-market
• Collaborate with Huntress’s Architecture, Product Management, and Threat Operations teams to integrate their expertise and needs into our products

What You Bring To The Team:

• 10+ years of experience in engineering leadership, building SaaS products in a modern SaaS environment
• 5+ years of experience at the director level or higher
• Experience with Claude Code or similar AI coding tools
• Experience and knowledge of best practices for scalable delivery of on-premise software agents
• Experience developing, evolving, and maintaining high-volume, scalable solutions
• Deep understanding of organizing engineering teams to deliver customer value iteratively and experience with various approaches such as hypothesis-driven development, Shape Up, Scrum, and Kanban
• Skilled at hiring, building teams, leading, and coaching managers, and performance management
• Demonstrated success working with architecture and product management leaders to develop and execute a shared product and technical vision
• Experience in a fully remote environment

What We Offer:

• 100% remote work environment - since our founding in 2015
• Generous paid time off policy, including vacation, sick time, and paid holidays
• 12 weeks of paid parental leave
• Highly competitive and comprehensive medical, dental, and vision benefits plans
• 401(k) with a 5% contribution regardless of employee contribution
• Life and Disability insurance plans
• Stock options for all full-time employees
• One-time $500 reimbursement for building/upgrading home office
• Annual allowance for education and professional development assistance
• $75 USD/month digital reimbursement
• Access to the BetterUp platform for coaching, personal, and professional growth

Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.

We do discriminate against hackers who try to exploit businesses of all sizes.

Accommodations:

If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response.

Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.

#BI-Remote

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants located in Canadian time zones (EST + CST highly preferred at this time).

Staff Backend Engineer - Platform SysEng

The Opportunity:

Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers’ environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it’s critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

The Internal Engineering Platform (IEP) delivered by the Platform department provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on: cloud infrastructure and capacity management; security; engineering productivity; monitoring and sustainability; and US Federal compliance.

Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products.

What You’ll Be Doing:

We are hiring for the Platform SysEng squad. This is an accelerated, cross-cutting squad that is focused on the maturity and scalability of the platform. Currently, SysEng is working across engineering with a goal of reducing new region build timelines to meet customer demands.

We’re part of a Platform Engineering group that manages infrastructure for the teams that are building some of the most cherished tools - Grafana, Mimir, Loki, Tempo, Pyroscope to name a few.

What Makes You a Great Fit:

• You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.
• You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision.
• As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too.
• You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.
• You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell.
• You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

Requirements:

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
• Demonstrable experience in system design. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Bonus Points For:

• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”.
• Familiarity with Kubernetes scheduling and projects like Karpenter.
• Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.
• Experience with Tanka and/or Jsonnet.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368- CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

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