Senior Software Engineer II

Confluent Confluent · Data AI · Boston, MA · Engineering

Senior Software Engineer II at Confluent to work on Stream Governance products, focusing on designing, developing, and operating large-scale, distributed, cloud-native backend systems for data streaming. The role involves technical leadership, mentoring, and ensuring high availability and scalability of services like Confluent Schema Registry, Data Contracts, and Policies.

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

  • Java
  • Go
  • C/C++
  • Python
  • data structures
  • algorithms
  • system design
  • distributed systems
  • event-driven architectures
  • high-throughput services
  • large-scale data pipelines
  • consistency
  • fault tolerance
  • performance tradeoffs
  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • cloud-native technology
  • networking
  • security
  • oncall rotation
  • technical leadership
  • mentoring
  • communication
  • collaboration

Nice to have

  • Apache Kafka
  • Flink
  • open source contributions
  • technical writing
  • public speaking

What the JD emphasized

  • 5+ 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 oncall 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.