Staff Software Engineer

Grafana Labs Logo

Grafana Labs

💵 $112k-$135k
📍Remote - Australia

Summary

Join Grafana Labs as a Mimir Engineer and contribute to the development and operation of Grafana Cloud Metrics, a key component of their composable observability platform. This full-time remote role, based in the APAC region, involves working with the Mimir squad to deliver new features, optimize performance and reliability, and ensure the smooth operation of the system. You will be responsible for designing, building, and maintaining critical systems, participating in on-call rotations, and collaborating with your team members. The ideal candidate is a motivated self-starter with a passion for creating intuitive products, strong experience with programming languages, and a proven track record of delivering projects from ideation to deployment.

Requirements

  • You are a motivated self starter with a bias towards action. You are customer focused. 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 Squad. 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
  • Some experience with developing software that runs in the Cloud or some experience with systems engineering
  • Some experience with being on-call and following the DevOps model
  • Experience writing clean, robust, and performant software that is easily maintained by others
  • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem

Responsibilities

  • Take a very active role in influencing our roadmap and your own career objectives
  • Work with your team to deliver new features, then use the results to iterate and improve
  • Drive projects from initial idea all the way to operations once it is in the hands of customers
  • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
  • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
  • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
  • Support other team members, participate in design discussions and collaborate with the team
  • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

Preferred Qualifications

  • Experience working with Kubernetes is highly desirable
  • Experience working with queue systems, e.g. the Kafka protocol
  • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
  • Exposure to microservices architecture and distributed systems, or a desire to learn
  • Familiarity with the concept of infrastructure as code

Benefits

  • In Australia, the Base compensation range for this role is AUD 181,000 to AUD 217,808.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here
  • 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

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