Staff Backend Engineer - Grafana Search and Storage (Remote, USA)

Job title: Staff Backend Engineer - Grafana Search and Storage (Remote, USA) in USA at Grafana Labs
Company: Grafana Labs
Job description: This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.Staff Backend Engineer, Grafana Search & StorageWhat we doThe Grafana Search & Storage squad is building Grafana's next generation storage layer. An important part of our App Platform movement, which will allow developers to write revolutionary applications that take advantage of all the data Grafana can hold, our Unified Storage component will allow developers to interact with data directly using Kubernetes-inspired design patterns like Operators.Besides building and operating the Unified Storage component at massive scale as a part of our Grafana Cloud platform, the team is also responsible for two closely related end-user features that form the backbone of the experience of finding and organizing information in Grafana: Search, which allows any user to find any resource they're looking for and Folders, which allows teams to self organize their content in a hierarchical topology reminiscent of file systems.What will you be doing?

• Take an 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 ideation 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 on-call rotations and take ownership of the services you're running
• Mentor and 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

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.What are we looking for in you?

• 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 team. You'll be working with your teammates in a fully remote setup. Good communication skills are a must

Requirements:

• Solid experience with the Go programming language.
• Experience developing using Kubernetes API Patterns such as controllers and operators.
• 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
• Experience with 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

Nice to haves:

• Have 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 being on-call and performing operations/SRE tasks or with the concept of infrastructure as code

In the United States, the Base compensation range for this role is USD 168,256 - USD 201,907. 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 .*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.*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.About Grafana Labs: There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics ( ), logs ( ), and traces ( ).Benefits: For more information about the perks and benefits of working at Grafana, please check out our .Equal Opportunity Employer: At Grafana Labs we're building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways.We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we're working hard to make sure that's the foundation of our organization as we grow.For information about how your personal data is used once you've applied to a job, check out our .
Expected salary:
Location: USA
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