Grafana Labs

Staff Backend Engineer- Grafana Enterprise| Canada| Remote

Vaga remota de R&D: Grafana com fit claro de localização do candidato.

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CanadáEstados Unidos

CI/CD Kubernetes PostgreSQL React Salesforce TypeScript

Resumo da vaga

Staff Backend Engineer- Grafana Enterprise| Canada| Remote

Requisitos e responsabilidades

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Details

Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
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.

What will you be doing? (Role specifics)

Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle

What technical competencies are we looking for?

Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture

What are your "nice to have" technical competencies?

Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling

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