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 position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Platform Metal

The Opportunity: 

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

The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. 

We are hiring a manager as part of the creation of a new Platform “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.

What You'll Be Doing:

• Hire, manage, and develop a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design, and engineering leadership to define goals that move the squad forward and align with broader business objectives.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution, and post‑launch, guiding the team to deliver high‑quality results consistently.
• Foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

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:

• Demonstrable experience building and managing on-prem/bare metal environments
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, production-readiness, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development, so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow.

Bonus Points For:

• Running Kubernetes and/or Ceph in production environments 
• Experience dealing with colo facilities and associated vendors
• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”

In Germany, the Base compensation range for this role is EUR 120,000 - EUR 151,000. 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.

Software Engineer - Grafana Cloud Integrations

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud 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 develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

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.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Sweden, the compensation range for this role is SEK 609,985 - SEK 762,481. 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.

Software Engineer - Grafana Cloud Integrations

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud 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 develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

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.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. 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.

Software Engineer - Grafana Cloud Integrations

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud 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 develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

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.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Germany, the Base compensation range for this role is EUR 76,000 - EUR 95,000. 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.

Software Engineer - Grafana Cloud Integrations

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud 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 develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

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.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Spain the Base compensation range for this role is EU 65K - EU 81K. 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.

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

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

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing:

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

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 are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

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

Compensation & Rewards:

In Germany, the Base compensation range for this role is €106,000 - €127,000. 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.

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

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Germany, the Base compensation range for this role is EUR 120,000 - EUR 151,000. 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 considering candidates in the US or Canada EST timezone, Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 211,000 - CAD 264,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

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

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.

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

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In the UK, the Base compensation range for this role is GBP 117,000 - GBP 147,000. 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.

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.

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

Senior Engineering Manager - Platform Metal

The Opportunity: 

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

The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. 

We are hiring a manager as part of the creation of a new Platform “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.

What You'll Be Doing:

• Hire, manage, and develop a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design, and engineering leadership to define goals that move the squad forward and align with broader business objectives.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution, and post‑launch, guiding the team to deliver high‑quality results consistently.
• Foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

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:

• Demonstrable experience building and managing on-prem/bare metal environments
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, production-readiness, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development, so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow.

Bonus Points For:

• Running Kubernetes and/or Ceph in production environments 
• Experience dealing with colo facilities and associated vendors
• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”

In Sweden, the Base compensation range for this role is SEK 949,000 - SEK 1,246,000. 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.

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

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

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing:

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

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 are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

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

Compensation & Rewards:

In Spain, the Base compensation range for this role is €91,000 - €115,000. 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.

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 | 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 position. We are considering candidates in the US or Canada EST timezone, Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 208,000 - USD 260,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

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

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

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Sweden, the Base compensation range for this role is SEK 949,000 - SEK 1,246,000. 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 considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Spain, the Base compensation range for this role is EUR 106,000 - EUR 133,000. 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.

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

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

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing:

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

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 are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

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

Compensation & Rewards:

In the UK, the Base compensation range for this role is £100,000 - £124,000. 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.

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

Senior Engineering Manager - Platform Metal

The Opportunity: 

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

The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. 

We are hiring a manager as part of the creation of a new Platform “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.

What You'll Be Doing:

• Hire, manage, and develop a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design, and engineering leadership to define goals that move the squad forward and align with broader business objectives.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution, and post‑launch, guiding the team to deliver high‑quality results consistently.
• Foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

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:

• Demonstrable experience building and managing on-prem/bare metal environments
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, production-readiness, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development, so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow.

Bonus Points For:

• Running Kubernetes and/or Ceph in production environments 
• Experience dealing with colo facilities and associated vendors
• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”

In Ireland, the Base compensation range for this role is EU 133,000 - EU 167,000. 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.

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

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

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing:

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

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 are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

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

Compensation & Rewards:

In Sweden, the Base compensation range for this role is SEK 836,000 - SEK 1,045,000. 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.

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.

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 position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Platform Metal

The Opportunity: 

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

The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. 

We are hiring a manager as part of the creation of a new Platform “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.

What You'll Be Doing:

• Hire, manage, and develop a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design, and engineering leadership to define goals that move the squad forward and align with broader business objectives.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution, and post‑launch, guiding the team to deliver high‑quality results consistently.
• Foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

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:

• Demonstrable experience building and managing on-prem/bare metal environments
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, production-readiness, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development, so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow.

Bonus Points For:

• Running Kubernetes and/or Ceph in production environments 
• Experience dealing with colo facilities and associated vendors
• You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”

In Spain, the Base compensation range for this role is EUR 106,000 - EUR 133,000. 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 considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers.