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RSS BotMB to Hacker NewsEnglish · 8 hours ago

Depot (YC W23) Is Hiring a Staff Infrastructure Engineer

www.ycombinator.com

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Depot (YC W23) Is Hiring a Staff Infrastructure Engineer

www.ycombinator.com

RSS BotMB to Hacker NewsEnglish · 8 hours ago
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Staff Infrastructure Engineer at Depot | Y Combinator
www.ycombinator.com
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Staff Infrastructure Engineer At Depot, we are on a mission to redefine software collaboration and accelerate developers everywhere. We are creating a build performance and developer platform unlike any other, combining performance, empathy, and centralized collaboration to enable companies to iterate exponentially faster. We launch millions of EC2 instances per month and orchestrate half a petabyte of cache data to accelerate CI jobs and local builds. We are looking to hire a Staff Infrastructure Engineer who can build for the next level of scale. For this role, you should be a seasoned expert with robust systems engineering skills and the ability to engage deeply in technical discussions. As part of a small team, you will work side-by-side with other engineers to test ideas, build proofs of concept, and ultimately ship quality solutions to customers. You will be a key contributor with the ownership and autonomy to see projects through from beginning to end. Please note: We are an equal opportunity employer and remote-only company. At this time, we can only support hiring within North America and Europe for this role. Responsibilities Infrastructure Management: Maintain and evolve the AWS infrastructure, ECS clusters, and networking layer using Terraform. Systems Engineering: Dive deep into low-level systems including compute isolation (Firecracker/microVMs), storage optimization (Ceph, LVM), and performance debugging across the stack. Automation & Tooling: Automate critical workflows such as AMI updates, machine binary deployments, and internal tooling to improve developer velocity. Observability: Implement and refine tracing, monitoring, and SLAs for core services like BuildKit builds, Depot Cache, and the registry. Backend Development: Write and maintain Go services responsible for infrastructure provisioning, orchestration, and management. Reliability: Participate in the on-call rotation, leading incident response, and supporting deep technical debugging of production issues. What we’re looking for 7+ years of experience in infrastructure, systems engineering, or DevOps roles. Proficiency with AWS, Go, and Terraform. Experience with or a desire to learn the technologies that power Depot, including Firecracker/microVMs, Ceph, LVM, OpenTelemetry (OTEL), ClickHouse, and Vitess. Strong debugging skills in distributed systems, networking, and storage, with experience in high-scale production environments. A self-starter who is excited about hard challenges and comfortable working in an environment with ambiguity. The ability to take complex problems and feedback, then distill them down to clear and focused solutions. Capable of asking questions, experimenting, and advocating for what is right. A strong desire for ownership, with the ability to define goals and execute on them from idea to measurement. Strong written and verbal communication skills, and comfort collaborating asynchronously across time zones. Depot values and culture Depot is a fully remote and globally distributed team across the US, Europe, and Canada. As a remote startup, there are several key values and expectations: The team will only get more distributed as time goes on. As such, there is always stuff happening across Depot, so the ideal candidate thrives in that type of environment. Work is not family. You are expected to get things done and work hard to meet goals. But you should spend time with your family and friends, finding the balance that accomplishes both. As a small team, the goal is to accomplish massive things. Everyone at Depot is a self-starter, deeply passionate about the problems being solved, and driven to solve them well. Ownership is the key to growth. Part of that growth is making choices, and owning the success, failure, and lessons learned that come with those choices. Decisions are based on data and customer needs. Success comes from being data-driven in decision-making.

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