Operate and evolve 100+ multi-cloud streaming clusters and related database infrastructure.
Diagnose and eliminate cross-layer failure modes such as object storage latency, noisy neighbors, control-plane bottlenecks, and query performance regressions.
Design safe upgrade and rollout strategies at scale.
Improve observability, automation, and operational ergonomics.
Partner closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance.
Work directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, and compression trade-offs.
Serve as a primary escalation point and on-call for relevant incidents.
Own relationships with system vendors, including WarpStream Labs and others.
Review and define SLOs for shared database infrastructure, proactively reducing error budgets through monitoring, automation, scaling strategies, and system design improvements.
Improve the diagnosability of core streaming and database systems in production.
Implement solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure.
Develop fault-tolerant patterns that account for distributed system realities.
Plan and execute safe upgrades and rollouts across dozens of production clusters.
Collaborate with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy.
Participate in PR review and contribute to design documents, automation, tooling, and code improvements that reduce operational risk.
Share best practices and distributed systems knowledge with partner teams.
Participate in incident response from investigation through resolution and post-incident reviews.
AWS
Azure
Cloud
GCP
Grafana
Helm
Support
Kubernetes
Linux
Terraform
AI
Backbone
ClickHouse
Cassandra
Kafka
OSS
Power Query
Security
Snowflake

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, such as streaming systems, analytical databases, or large-scale storage backends.
Strong Kubernetes experience in AWS, GCP, or Azure, plus familiarity with infrastructure-as-code tools such as Helm, Terraform, or Jsonnet.
Solid understanding of distributed systems design and large-scale system trade-offs.
Proficiency in at least one programming language; Go is 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.

We are Grafana Labs, a remote-first, open-source company with more than 20M users of Grafana around the world and over 3,000 customers managing observability with the Grafana LGTM Stack. We are hiring a Senior Software Engineer for our Grafana Databases Managed Services team, a newly formed squad within the Databases department. This is a remote opportunity for applicants in UK time zones only. The role is fully remote, and we support a global, collaborative culture built on transparency, autonomy, trust, and open-source values. We offer equity, bonus eligibility, RSUs, and benefits, along with a 30-day annual leave policy that includes Grafana Shutdown Days. We also provide in-person onboarding, strong career growth opportunities, and a high-trust, low-ego environment with meaningful work at scale.

3 Grafana Labs jobs in England & Wales