Staff Backend Engineer, Grafana Labs

• You are a motivated self-starter with a bias toward action
• We build everything with our users in mind
• You have a passion for creating intuitive products that fit customers’ needs
• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar, then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Strong experience with designing and developing software that runs in the Cloud or experience with systems engineering
• Experience writing clean, robust, and performant software that is easily maintained by others
• Experience with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code
• Solid experience with distributed systems
• Experience working with Kubernetes

Desirable

• We are the creators of Pyroscope, an open-source continuous profiling database that offers rapid, scalable, highly reliable, and efficient storage and querying capabilities
• It aids in gaining a comprehensive insight into resource utilization within applications, right down to the specific line of code
• The project seamlessly integrates with Grafana, enabling users to correlate profiling data with metrics, logs, and traces, and leverage profiles as a crucial component of application observability
• Our dedicated backend development team works closely with clients and the Grafana Cloud teams to deliver profiling solutions for on-premises and cloud environments at scale
• In our expansive domain, some of the projects we have undertaken include:
• Implementing distributed systems to effectively manage profile ingestion and queries
• Establishing instrumentation support for various programming languages including Golang, Dotnet, Java, Ruby, eBPF, Python, Node.js, and Rust
• Built & Enhanced the functionality of the Pyroscope plugins to provide users with an intuitive interface for exploring and analyzing application profiles
• This position focuses on implementing distributed systems to effectively manage profile ingestion and queries
• Pyroscope is trusted by leading multinational companies for essential applications and infrastructure
• We prioritize innovation and inclusivity, empowering every team member to share ideas that improve our product as a dependable solution
• Collaborate with your team to deliver new features, analyze outcomes, and make improvements
• Lead projects from concept to implementation, including ongoing customer support
• Design, build, operate, and maintain essential systems, ensuring reliability, performance, and availability
• Take an active role in influencing our roadmap and your own career objectives
• Participate in on-call rotations and take responsibility for the services you oversee
• Support and mentor team members, engage in design conversations, and work closely with colleagues
• Expand your skill set by deepening your knowledge of our cloud products, understanding our customers, and learning about our codebase
• As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment
• 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-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro)