Senior Backend Engineer - Cloud-Native Data Streaming

confluent; Beaverton (OR); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Confluent in Beaverton, Oregon, is seeking a Senior Software Engineer II to take ownership of critical backend systems in their Stream Governance products. You will lead the design and delivery of scalable services essential to the data streaming platform, ensuring high availability and security across regions.

Your role involves collaborating with key stakeholders, mentoring a high-performing team, and making architecture decisions that impact Confluent’s mission of data streaming. A strong technical background in backend languages and distributed systems is essential.

Qualifications

• 8+ years of industry experience designing, building, and operating backend systems.
• Strong knowledge of data structures, algorithms, and system design.
• Experience with containerized workloads in public cloud environments.

Responsibilities

• Develop and architect the cloud-native Stream Governance platform.
• Lead the design and implementation of complex backend services.
• Make architecture decisions balancing reliability and performance.

Skills

Backend programming languages (Java, Go, C/C++, Python)

Distributed systems and event-driven architectures

Cloud services (AWS, GCP, Azure)

Technical leadership

Communication and collaboration

Education

BS, MS, or PhD in computer science, engineering or related field

Tools

Docker

Kubernetes

Job description

Confluent in Beaverton, Oregon, is seeking a Senior Software Engineer II to take ownership of critical backend systems in their Stream Governance products. You will lead the design and delivery of scalable services essential to the data streaming platform, ensuring high availability and security across regions.

Your role involves collaborating with key stakeholders, mentoring a high-performing team, and making architecture decisions that impact Confluent’s mission of data streaming. A strong technical background in backend languages and distributed systems is essential.