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. Built 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 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.
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 position. We are seeking candidates in US and 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.
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.
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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work onThese are the kinds of projects landing in 2026:
- Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
- Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
- Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads.
- Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
- Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
- Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero.
- 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.
- 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 are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
- 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. *We will comply with local legislation where applicable.
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.
#LI-Remote
Skills Required
- Track record of delivering complex, multi-month technical projects from design through delivery and operations
- Significant hands-on experience building and operating distributed data systems in production
- Experience with ingestion pipelines, storage engines, query execution, or similar systems
- Strong software engineering craftsmanship, including writing clean, robust, performant, maintainable code
- Strong experience with Go, or substantial experience in Rust, C, or C++ with a path to Go
- Experience owning production services, participating in on-call, reducing operational toil, and working with SLOs
- Ability to communicate clearly and collaborate in a fully remote, asynchronous environment
- Experience with tracing, OpenTelemetry, or large-scale observability systems
- Experience designing query languages, SQL or TraceQL-like engines, or programmatically consumed APIs
- Experience with columnar storage formats such as Parquet or purpose-built analytical storage formats
- Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes
- Experience building structured APIs and systems for AI or LLM consumers
- Open-source contribution or project maintainership experience
- Experience using Grafana, Prometheus, Loki, or Tempo in an on-call role or homelab
- Experience working in a fully remote, globally distributed team
Grafana Labs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Grafana Labs and has not been reviewed or approved by Grafana Labs.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision options with low deductibles in the US and local equivalents in other countries. Mental health support is also included, alongside wellness support that can be applied to therapy or ergonomic needs.
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Leave & Time Off Breadth — Time off is positioned as notably generous, including 30 days of paid vacation plus holidays and additional shutdown days. Parental leave and sick leave are also part of the time-off package, supporting broader work-life needs.
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Equity Value & Accessibility — Equity is presented as a standard component of compensation, with RSUs included across roles to provide ownership in company outcomes. The package framing emphasizes total compensation that combines base pay with equity and, in some cases, bonuses.
Grafana Labs Insights
What We Do
Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 5,000 Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and more than 20 million users of Grafana around the world. Grafana Labs helps companies manage their observability strategies with the LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security.
Why Work With Us
Clear communication is vital in a remote-first company. We hold weekly team updates, monthly all-hands calls, co-located offsites, and annual events. We've enhanced hiring, onboarding, and training with a learning management tool and quarterly bootcamps. We offer 30 vacation days plus local holidays, with equal benefits for all employees globally.
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