[Remote] Staff Software Engineer
Note: The job is a remote job and is open to candidates in USA. Confluent is a company focused on transforming how data moves and is utilized. They are seeking a Staff Software Engineer to build AI capabilities for their platform, enabling customers to run AI and model inference directly on real-time data.
Responsibilities
- 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
Skills
- 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
- Exposure to model serving, LLM/agent infrastructure, or streaming data systems
Benefits
- Belonging isn’t a perk here. It’s the baseline.
- We work across time zones and backgrounds.
- We make space for everyone to lead, grow, and challenge what’s possible.
- Equal opportunity workplace; employment decisions are based on job-related criteria, without regard to protected characteristics.
Company Overview
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