This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

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).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. 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.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

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).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. 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.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

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).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. 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.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

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 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In UK, the compensation range for this role is £103,958 - £124,750. 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 UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

In Sweden, the compensation range for this role is SEK 878,578 - SEK 1,054,294. 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 UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

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 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Spain, the compensation range for this role is €94,025 - €112,830. 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 UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

In Ireland, the compensation range for this role is EUR 117,600 - EUR 141,120. 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 UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

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 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Germany, the compensation range for this role is €109,709 - €131, 651. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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).

What Makes You a Great Fit:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Spain, the compensation range for this role is EUR 82,988 - EUR 99,586. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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).

What Makes You a Great Fit:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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).

What Makes You a Great Fit:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Sweden, the compensation range for this role is SEK 775,444 - SEK 930,533. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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).

What Makes You a Great Fit:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Germany, the compensation range for this role is EUR 97,034 - EUR 116,441. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Sweden, the compensation range for this role is SEK 878,578 - SEK 1,054,294. 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 opportunity and we would be interested in applicants based in the Unites States, EST timezones at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In the United States, the compensation range for this role is USD 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Germany, the compensation range for this role is EUR 109,709 - EUR 131,651. 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.

Senior Developer Advocacy Engineer | Ireland | Remote

This is a fully remote position and we're considering candidates in Ireland.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Ireland, the base compensation range for this role is EUR 104,000 - EUR 124,800. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Spain, the compensation range for this role is EUR 94,025 - EUR 112,830. 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.

Senior Developer Advocacy Engineer | UK | Remote

This is a fully remote position and we're considering candidates in UK.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. 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.

Senior Developer Advocacy Engineer | Germany | Remote

This is a fully remote position and we're considering candidates in Germany.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Germany, the base compensation range for this role is EUR 97,034 - EUR 116,441. 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 opportunity and we would be interested in applicants based in Canada, EST timezones at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Canada, the compensation range for this role is CAD 186,368 - 223,642. 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.

Senior Developer Advocacy Engineer | Spain | Remote

This is a fully remote position and we're considering candidates in Spain.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. 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.

Senior Developer Advocacy Engineer | Sweden | Remote

This is a fully remote position and we're considering candidates in Sweden.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533. 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 opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

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 unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

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).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In United Kingdom, the compensation range for this role is GBP 103,958 - GBP 124,750. 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.