This is a remote opportunity, and we would be interested in applicants in Canadian time zones (EST or CST).  

The Opportunity 

We are the team behind Grafana k6, Grafana Cloud k6, and Grafana Cloud Synthetics, used by teams globally to ensure resilient, high-performing systems.  This opportunity is with the Grafana Cloud k6 squad, who build and operate our performance testing product. Grafana Cloud k6 is built around the OSS k6 and targeted at users looking to run performance tests at scale. Our enterprise and SaaS offerings allow customers to load test their systems by running distributed tests from 15+ regions worldwide, using hundreds of thousands of virtual users sending millions of requests per second. We ingest huge volumes of data generated by k6, which can be used to view, correlate and analyze metrics from each test.

k6 is a product used by other engineers, and as such, we are looking for people enthusiastic about building high-quality tools they would want to use themselves. Due to our small teams and fast development pace, you will have a substantial and immediate impact on how the end product is architected, developed, and how the engineering team operates.

Your role will focus on establishing and scaling a cross-team culture of engineering excellence by setting standards and guiding adoption of strong DevOps/SRE practices that improve reliability, availability, and operational ownership. As this foundation matures, the role is expected to expand into broader application and product development leadership, contributing architectural and technical depth beyond operational excellence.

What will you be doing? 

• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability.
• Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management.
• Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs.
• Provide visibility into system health through clear operational metrics and reliability reporting.
• Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems.
• Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration.
• Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively.
• As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

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:

• Strong experience with DevOps/SRE practices, including operating and evolving production systems at scale
• Strong programming background in a modern language (Python and Go are primary, but prior experience is not required)
• Experience designing, building, and operating large-scale distributed systems
• Strong understanding of reliability engineering concepts (e.g. incident management, observability, and failure modes)
• Experience with test automation, including performance and functional testing
• Ability to influence engineering practices through clear technical communication, reviews, and collaboration
• Strong interpersonal skills and ability to work effectively across teams
• Familiarity with modern software engineering processes and delivery practices
• Self-driven and comfortable operating with a high degree of autonomy and ambiguity

Bonus Points For:

• Experience with containerized and cloud-native systems (Docker, Kubernetes, AWS)
• Familiarity with observability tooling and platforms (e.g. the Grafana stack)
• Experience working with Python, Go, JavaScript and/or Jsonnet 
• Experience building or operating event-driven or asynchronous systems
• Experience defining or applying SLIs/SLOs, error budgets, or reliability metrics
• Interest in, or experience with, building testing frameworks or developer tooling

This is a remote opportunity, and we would be interested in applicants in United States time zones (EST & CST).  

The Opportunity 

We are the team behind Grafana k6, Grafana Cloud k6, and Grafana Cloud Synthetics, used by teams globally to ensure resilient, high-performing systems.  This opportunity is with the Grafana Cloud k6 squad, who build and operate our performance testing product. Grafana Cloud k6 is built around the OSS k6 and targeted at users looking to run performance tests at scale. Our enterprise and SaaS offerings allow customers to load test their systems by running distributed tests from 15+ regions worldwide, using hundreds of thousands of virtual users sending millions of requests per second. We ingest huge volumes of data generated by k6, which can be used to view, correlate and analyze metrics from each test.

k6 is a product used by other engineers, and as such, we are looking for people enthusiastic about building high-quality tools they would want to use themselves. Due to our small teams and fast development pace, you will have a substantial and immediate impact on how the end product is architected, developed, and how the engineering team operates.

Your role will focus on establishing and scaling a cross-team culture of engineering excellence by setting standards and guiding adoption of strong DevOps/SRE practices that improve reliability, availability, and operational ownership. As this foundation matures, the role is expected to expand into broader application and product development leadership, contributing architectural and technical depth beyond operational excellence.

What will you be doing? 

• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability.
• Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management.
• Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs.
• Provide visibility into system health through clear operational metrics and reliability reporting.
• Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems.
• Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration.
• Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively.
• As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

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:

• Strong experience with DevOps/SRE practices, including operating and evolving production systems at scale
• Strong programming background in a modern language (Python and Go are primary, but prior experience is not required)
• Experience designing, building, and operating large-scale distributed systems
• Strong understanding of reliability engineering concepts (e.g. incident management, observability, and failure modes)
• Experience with test automation, including performance and functional testing
• Ability to influence engineering practices through clear technical communication, reviews, and collaboration
• Strong interpersonal skills and ability to work effectively across teams
• Familiarity with modern software engineering processes and delivery practices
• Self-driven and comfortable operating with a high degree of autonomy and ambiguity

Bonus Points For:

• Experience with containerized and cloud-native systems (Docker, Kubernetes, AWS)
• Familiarity with observability tooling and platforms (e.g. the Grafana stack)
• Experience working with Python, Go, JavaScript and/or Jsonnet 
• Experience building or operating event-driven or asynchronous systems
• Experience defining or applying SLIs/SLOs, error budgets, or reliability metrics
• Interest in, or experience with, building testing frameworks or developer tooling

Compensation & Rewards:

In the US, the Base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. 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.

This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.

The Opportunity:

The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.

Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.

This team works at the intersection of:

• frontend observability,
• backend data processing and storage at scale,
• debugging workflows across products,
• privacy and access control,
• performance and cost constraints at scale.

Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. 

What you'll be doing:

As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:

• Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
• Drive the evolution of our backend architecture, including:
• Designing systems around columnar/analytical data storage for large-scale session data 
• Defining data models, ingestion pipelines, and query patterns
• Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
• Make high-leverage architectural decisions that impact multiple teams and products
• Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
• Improve engineering standards, patterns, and operational practices within the team
• Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:

• Go (backend services and APIs)
• Columnar/Analytical data storage (core data storage and querying)
• Object storage (S3, GCS, Azure Blob Storage) and MySQL 
• TypeScript / React (user-facing workflows)
• Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:

• 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, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
• Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
• You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
• You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
• You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:

• Experience with columnar/analytical databases
• Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
• Experience building debugging or developer-focused tools.
• Familiarity with privacy, security, and access control in data-heavy systems
• Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 231,960.  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. 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.

*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.

This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.

The Opportunity:

The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.

Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.

This team works at the intersection of:

• frontend observability,
• backend data processing and storage at scale,
• debugging workflows across products,
• privacy and access control,
• performance and cost constraints at scale.

Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. 

What you'll be doing:

As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:

• Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
• Drive the evolution of our backend architecture, including:
• Designing systems around columnar/analytical data storage for large-scale session data 
• Defining data models, ingestion pipelines, and query patterns
• Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
• Make high-leverage architectural decisions that impact multiple teams and products
• Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
• Improve engineering standards, patterns, and operational practices within the team
• Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:

• Go (backend services and APIs)
• Columnar/Analytical data storage (core data storage and querying)
• Object storage (S3, GCS, Azure Blob Storage) and MySQL 
• TypeScript / React (user-facing workflows)
• Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:

• 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, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
• Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
• You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
• You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
• You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:

• Experience with columnar/analytical databases
• Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
• Experience building debugging or developer-focused tools.
• Familiarity with privacy, security, and access control in data-heavy systems
• Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 218,733.  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.

*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.