Kubernetes and HPC Engineer building scalable AI/ML and simulation infrastructure for Capgemini Engineering. Managing Kubernetes, HPC clusters, NVIDIA GPUs, automation, and cloud - native platforms.
About the role
- Senior Backend Engineer improving Tempo, Grafana Labs’ open-source distributed tracing backend. Owning scalable database systems, APIs, performance, and operational excellence for Grafana observability products.
Responsibilities
- Own technical direction on difficult Tempo roadmap problems
- Deliver multi-month technical initiatives from problem framing through rollout
- Partner with Staff engineers and the tech lead on broader cross-team direction
- Own components across ingestion, storage, query, and metrics generation
- Write and present design documents and participate in design reviews
- Make trade-offs involving performance, cost, and complexity
- Build structured, deterministic, discoverable APIs for humans, agents, products, and integrators
- Own outcomes against SLOs such as P99 write latency, incident recurrence, and total cost per ingested GB
- Automate operations through parameterized rollouts and actionable alerts
- Collaborate with Product and sibling teams including App Observability, Asserts, Drilldown, and Grafana Assistant
- Mentor engineers through code review, design feedback, and pairing
- Participate in on-call, incident response, and post-incident learning
- Engage the open-source community, review external contributions, and contribute to Tempo
- Improve trace aggregation, autoscaling, ingestion and query performance, multi-cell operations, and customer-facing limits
Requirements
- Track record of delivering complex, multi-month projects spanning design, 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 craftsmanship: clean, robust, performant, maintainable software
- Strong Go experience, or experience with Rust, C, or C++ as a path to Go
- Experience owning production services and carrying a pager
- Experience reducing operational toil and treating SLOs as a product feature
- Customer focus and pragmatic iterative delivery
- Clear writing and communication in a fully remote, asynchronous environment
- Candidates must be based in the US or Canada
Benefits
- Restricted Stock Units (RSUs)
- Company-funded usage budget for AI coding assistants
- Access to frontier models from OpenAI, Anthropic, and Google
- 100% remote work and global remote culture
- Career growth pathways
- In-person onboarding
- 30 days of annual leave per annum, including 3 Grafana Shutdown Days
- Transparent communication and regular company-wide updates
- Autonomy and support to ship great work
- Empowered, high-trust, low-ego culture
- Global annual leave policy, subject to local legislation
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