Staff Software Engineer

What You Will Do

• Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data.
• Own features end to end — drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion.
• Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution.
• Own the quality of what you ship — code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought.
• Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work.
• Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy.

What You Will Bring

• 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production.
• Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals — containerization, networking, resource isolation.
• Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three.
• A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind.
• Excellent written and verbal communication — you can write a design doc that aligns people who don't report to you.

What Gives You an Edge

• Exposure to model serving, LLM/agent infrastructure, or streaming data systems.
• You don't need a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not inventing the models.