Note: The job is a remote job and is open to candidates in USA. Grafana Labs is the company behind the open observability cloud and is seeking a Staff Backend Engineer for their Tempo project. The role involves leading technical initiatives, owning architecture, and driving operational excellence for Grafana Cloud Traces.
Responsibilities
- Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes
- Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction
- Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on
- Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors
- Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations
- Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements
- Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team
- Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably
- Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts
- Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them
- Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it
- Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning
- Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open
Skills
- Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better
- Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar
- Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship
- Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well
- Operational mindset. You've owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore
- Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate
- Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment
- Experience with tracing, OpenTelemetry, or large-scale observability systems
- Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents)
- Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads
- Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes
- Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses
- Open-source contribution or maintainership, and comfort engaging a community in the open
- Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab)
- Experience in a fully remote, globally distributed team
Benefits
- Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.
- 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.
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- 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.
- 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.
Company Overview