Staff Software Engineer
ConfluentData Streaming company
Mountain View, United StatesLead
Benchmark
Index Ventures
Sequoia Capital
Coatue
Altimeter Capital
Franklin Templeton Investments
Software Engineering
About the role
TL;DR
Build AI capabilities for Confluent Cloud's real-time data platform.
- •You'll help build Confluent Cloud's AI capabilities.
- •Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale.
- •Key Responsibilities Design and build the backend services 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.
- •Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work.
- •Requirements 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, 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.
Required skills
GoJavaPythonKubernetesEngineering ManagementTechnical Leadership
Nice-to-have skills
Apache Kafka
Domain expertise
ai
Tech stack
GoJavaPythonKubernetesApache Kafka
