6+ years engineering experience, 3+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience.
Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
Experience operating multi-tenant systems in production
Strong experience designing and implementing SLOs
Experience with one or more programming languages (e.g. Go, Python, Java, etc)
Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling.
Excellent problem-solving and troubleshooting skills.
Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents)
Ability to reason about performance, scaling, and failure modes
Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction.
Ability to partner deeply with product engineering teams
We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)
Responsibilities
The SRE team is embedded within the Mimir and Loki squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. We seek a senior engineer operating at the intersection of customer needs, production systems, and product engineering. In this role, you will:
Partner closely with product engineering squads (embedded model)
Own production reliability for high-SLA and complex customer environments
Design and implement automation to scale our reliability practices
Ensuring our customers meet our SLO targets
Define and evolve per-tenant SLOs and reliability models
Proactively reduce SLO burn to prevent repeat incidents
Serving as a primary escalation point and on-call for relevant incidents
Lead customer-impacting incident response and post-incident reviews
Contribute to design docs and code reviews
Influence feature design to ensure production scalability and operability
Build automation to eliminate toil where needed
Improve alert quality and reduce noisy escalations
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.
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:
Regular 1:1s to with your manager and colleagues
Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc.
Improve observability of customers within their environments
Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands
Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle.
Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs
Participate in PR review and collaborating with other engineers on their Design Docs
Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality
Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary
Benefits
100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
100% Remote, Global Culture -
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Scaling Organization
Transparent Communication – Expect open decision-making and regular company-wide updates.
Transparent Communication
Innovation-Driven – Autonomy and support to ship great work and try new things.
Innovation-Driven
Open Source Roots – Built on community-driven values that shape how we work.
Open Source Roots
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Career Growth Pathways
Approachable Leadership – Transparent execs who are involved, visible, and human.
Approachable Leadership
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
Passionate People
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
In-Person onboarding
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.