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Staff Software Engineer - Databases, Tempo | Ireland | Remote
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Grafana Labs·Ireland·11 авг.

Staff Software Engineer - Databases, Tempo | Ireland | Remote

от 12 936 $
≈ от 1,1 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Навык востребован (engineer).
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and system

О роли

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 opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

Чем предстоит заниматься

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)
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)

Наши требования

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

Дополнительно

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
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
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
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 Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product
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
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
In the Republic of Ireland, the Base compensation range for this role is EUR 117,600 - EUR 141,120. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process
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

Технологии и навыки

software engineering
engineer
sql
architecture
cloud
G
Grafana Labs
Ireland

ГрейдSenior
ЗанятостьПолная занятость
РегионИрландия
ФорматУдалённо
ИсточникСкрыто
Опубликовано11 авг.

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