Software Engineer - Databases SRE Remote

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry lt on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions.

Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at  and follow us on Linked In and X.We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work.

Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

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

This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany.

About the role:

We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions.

The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. 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

We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering.

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 the latest frontier models from OpenAI, Anthropic, and Google.

What we seek:8+ years engineering experience, 4+ 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.).Strong experience with technical leadership, leading a team through projects, mentoring…