Choice Labs Jobs (NOW HIRING)

This is a remote opportunity and we would be interested in applicants located in USA time zones (EST + CST highly preferred). 

Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

The Internal Engineering Platform (IEP) delivered by the Platform department provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on: cloud infrastructure and capacity management; security; engineering productivity; monitoring and sustainability; and US Federal compliance.

Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products.

What You'll Be Doing:

We are hiring for the Platform SysEng squad. This is an accelerated, cross-cutting squad that is focused on the maturity and scalability of the platform. Currently, SysEng is working across engineering with a goal of reducing new region build timelines to meet customer demands. 

We're part of a Platform Engineering group that manages infrastructure for the teams that are building some of the most cherished tools - Grafana, Mimir, Loki, Tempo, Pyroscope to name a few.

What Makes You a Great Fit:

• You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.
• You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision.
• As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too.
• You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn. 
• You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell.
• You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users.

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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

Requirements:

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
• Demonstrable experience in system design. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs - we use Go, but Python/C/C++/Rust or similar translate well.
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team's workflow.
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Bonus Points For:

• You've worked in or on open source, or other community-based projects previously. At Grafana Labs, "OSS is in our DNA".
• Familiarity with Kubernetes scheduling and projects like Karpenter.
• Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.
• Experience with Tanka and/or Jsonnet.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983. 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.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes-RSUs help us stay aligned and invested as we scale globally.