Staff Software Engineer I - Stream Governance

Confluent Confluent · Data AI · ON +1 · Remote · Engineering

Staff Software Engineer to lead initiatives for Confluent's Stream Governance product, focusing on building and scaling cloud-native, multi-tenant services for Kafka and real-time data. Responsibilities include architecting complex systems, driving roadmap execution, enhancing platform technology, and ensuring high availability (99.99 SLA) across multiple cloud regions.

What you'd actually do

  1. Develop a cloud-native Stream Governance platform for Kafka and real-time data, which is a multi-tenant, highly available, and scalable service
  2. Architect a complex engineering system from end to end
  3. Partner across engineering and other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform for our customers
  4. Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutions
  5. Solve complicated technical projects with high quality and provide technical guidance to the team in specialized areas

Skills

Required

  • large-scale systems engineering
  • distributed systems
  • cloud-native technology
  • networking & security
  • AWS, GCP, or Azure
  • cloud best practices
  • leading and mentoring technical teams
  • communication
  • collaboration
  • drive results
  • urgency
  • prioritization

Nice to have

  • BS Degree in Computer Science, Engineering, or equivalent experience
  • advanced degree in computer science

What the JD emphasized

  • 10+ years of relevant software development experience
  • 5+ years of experience with designing, building, and scaling distributed systems
  • 99.99 SLA