Senior Backend Engineer - Databases

About the Position

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 at scale. 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 grafana.com and follow us on LinkedIn 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.

This is a remote position. We are seeking candidates in Canada.

The Opportunity

We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.

2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).

Over the next year, you will help us:

• 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.

Responsibilities

As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.

• Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
• Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
• Build APIs for humans and agents. Help 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.
• Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
• Collaborate with Product and sibling teams. Work 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 and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
• Participate in on-call for the services you help build, and contribute to incident response and post-incident learning.
• Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.

Requirements

• Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
• Solid systems experience. Significant 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. Solid 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.
• Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.

Bonus Points For

• 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.

We Offer

• Compensation: CAD $164,490 - $197,389
• RSUs: All roles include 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.
• 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.

Equal Opportunity Employer

Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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