Senior Software Engineer

Confluent Confluent · Data AI · ON · Remote · Engineering

Senior Software Engineer role focused on backend systems for Stream Governance products within a data streaming platform. Responsibilities include designing, architecting, and developing cloud-native, multi-tenant, highly available, and scalable distributed services. The role involves technical leadership, mentoring, and ensuring high quality and reliability for mission-critical services with strict SLAs.

What you'd actually do

  1. Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data.
  2. Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment.
  3. Drive projects from requirements and design through implementation, rollout, and ongoing operation in production.
  4. Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability.
  5. Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews.

Skills

Required

  • 4+ years of industry experience designing, building, scaling, and operating backend systems in production.
  • Deep proficiency in at least one major backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design.
  • Hands-on experience with distributed systems, such as event-driven architectures, high-throughput services, or large-scale data pipelines. A strong understanding of consistency, fault tolerance, and performance tradeoffs.
  • Strong experience running production services in a public cloud (AWS, GCP, or Azure), including containerized workloads (e.g., Docker, Kubernetes).
  • Expertise in cloud-native technology, including networking & security, and experience being part of an on-call rotation.
  • Proven experience in leading and mentoring technical teams.
  • A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams.
  • Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions.
  • BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience

Nice to have

  • Experience building or operating mission-critical, multi-tenant, or multi-region services with strict availability and latency requirements.
  • Familiarity with data streaming technologies such as Apache Kafka, Flink, or similar systems.
  • Demonstrated impact beyond your immediate team, such as driving cross-org initiatives or technical vision.
  • Contributions to open source, technical writing, or speaking that showcase technical depth.

What the JD emphasized

  • critical backend systems
  • cloud-native, multi-tenant services
  • secure, highly available, and easy to operate
  • data quality and integrity
  • cloud-native, multi-tenant services
  • highly available, and scalable service
  • cloud-native, microservices-based environment
  • production services
  • mission-critical, multi-tenant, or multi-region services with strict availability and latency requirements