Staff Software Engineer, Grafana Labs
Databases, Tempo
€94-112.8k
Open & composable observability platform
Be an early applicant
Open & composable observability platform
1001+ employees
Be an early applicant
€94-112.8k
1001+ employees
Company mission
To unite data, no matter where it lives, and empower its users to analyze, take action, and make smart decisions.
Role
Who you are
- 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
What the job involves
- This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany
- 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 Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team
- 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
- 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 frontier models (e.g., GPT-5.6, Claude Fable, Gemini Pro 3.1)
- Example problems you could work on:
- These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem:
- 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
Our take
Observability plays a crucial role in software development, where dashboards are pivotal for monitoring the health of IT infrastructure across an organization. However, for developers, the frustration of spending unnecessary time navigating between different dashboards to find the latest information detracts from valuable programming time.
Grafana creates customizable observability platforms for its clients, to enhance the efficiency of this process. Its offerings include cloud-based data structures, dashboards, API plugins, and collaboration tools. The company boasts over 25 million users globally, with a customer base exceeding 5,000 and including prominent names like Bloomberg, PJ Morgan Chase, eBay, PayPal and Sony.
While Grafana provides free plans with a simplified tool package, the Grafana Enterprise Stack offers customized solutions on a monthly subscription. The company's continues to improve to meet the evolving needs of its users, enhancing functionality with each iteration. It also fosters community engagement by enabling users to share their Grafana dashboards with the broader open-source community.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
49% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2024
$270m
SERIES D
Apr 2022
$240m
SERIES D
Total funding: $805.2m
Company benefits
- Vacation: Balance is key. Our team enjoys 30 days of paid vacation each year on top of national holidays, parental leave, and sick leave. We also take a breather on a number of Grafana Shutdown Days each year
- Healthcare: We’re proud to provide health coverage or stipends for our colleagues in the US, UK, Canada, the Netherlands, Sweden, Singapore, and India
- Retirement planning: There’s no time like the present to start saving for your future. We make employer contributions into the pension pots of our team members in the US, UK, Canada, the Netherlands, Sweden, and Germany
- Professional development: On top of a $1,500 annual learning and development stipend, Grafanistas have thousands of on-demand courses at their fingertips to help them grow professionally. Want to attend a conference or training? Go ahead. Just pass on what you learned
- Work location: Vast majority of our roles are fully remote, focused on hiring the best talent and allowing you to perform from the comfort of your home. If you fancy a change of scene, we’ll also reimburse you up to $175 a month for a personal co-working space
- Choice of tech: There’s no one-size-fits-all when it comes to the tech required to do your job. Choose the laptop and accessories you need when you join us, and we’ll refresh them every three years
- Mindfulness: When you join the team, you can sign up for a complimentary subscription to Headspace to take advantage of the benefits of mindfulness and meditation. Our wellbeing resource group also organize sessions run by fellow Grafanistas or external trainers
- Paid parental leave: Grafana offers paid parental leave to all eligible new parents. This offers Grafanistas time to bond with and care for their children in the first year after birth or adoption
- Global Employee Assistance Program: We offer all team members a 100% confidential support service with 24/7 365 access to professionally qualified counsellors and specialists
Company HQ
Financial District, New York, NY
Leadership
Raj Dutt
(CEO & Co-Founder)Currently a Board Member at NSONE. Previously founded Voxel where they served as the CEO for 12 years. They also served as the Senior Vice President of Technology at Internap Network Services.
Torkel Ödegaard
(Co-Founder)Graduated from Mälardalen University with a Master's in Computer Science. Founder of Coding Instinct. Previously worked as a Consultant at H&M, Avega, and Ebay.
Anthony Wood
(Co-Founder)Previously worked at Visa and Voxel as a Senior Systems Engineer. They also have Systems Engineering experience at PalVision and iiNet.
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