Senior Software Engineer II

Confluent Confluent · Data AI · Seattle, WA +1 · Engineering

Senior Software Engineer II at Confluent to lead the design and delivery of large-scale, distributed backend services for their data streaming platform. This role involves technical leadership, architecture decisions, mentoring, and collaborating with cross-functional stakeholders to ship high-impact work. Responsibilities include owning backend systems, improving reliability and operations, and driving platform improvements.

What you'd actually do

  1. Own and lead the design and implementation of complex backend services and systems in a cloud-native, microservices-based environment.
  2. Make architecture and technical decisions that balance reliability, scalability, performance, and operability, and clearly communicate the tradeoffs.
  3. Drive projects end to end: from requirements and design through implementation, rollout, and ongoing operation in production.
  4. Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and participating in on-call as needed.
  5. Collaborate across teams to define APIs, integration points, and data models that keep the platform coherent and evolvable.

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
  • SQL
  • NoSQL
  • data modeling
  • performance optimization
  • technical leadership
  • communication skills
  • collaboration skills
  • observability
  • metrics
  • logging
  • tracing
  • incident response
  • postmortems

Nice to have

  • BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.

What the JD emphasized

  • 5+ years of industry experience building, scaling, and operating backend systems in production.
  • Deep proficiency in at least one major backend programming language (for example, 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) and an understanding of consistency, fault tolerance, and performance tradeoffs.
  • Strong experience running services in a public cloud (AWS, GCP, or Azure), including containers and orchestration (for example, Docker, Kubernetes) and modern deployment practices.
  • Comfortable working with databases and storage systems (SQL and/or NoSQL), including data modeling and performance optimization for scale.
  • 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.
  • Experience with observability and operational excellence (metrics, logging, tracing, incident response, and postmortems).