Remote Distributed Systems Engineer (Backend)

Confluent; Columbus (OH); On-site; USD 197,400 - 271,200; Full time

Benefits offered by this job

Equity

Remote work

Global team

Job summary

Confluent is a remote-friendly engineering company redefining data movement with a streaming platform. WarpStream, an Apache Kafka compatible service, is built atop object storage and delivered as a BYOC-style offering.

As a Senior Engineer, you’ll contribute across the stack—from storage engines to multi-tenant control planes and developer consoles. You’ll solve complex distributed systems problems at scale, build services across AWS, GCP and Azure, and work with a small, fully remote team that

Qualifications

• 5+ years industry experience designing, building, scaling and supporting backend systems in production.
• Strong programming and algorithmic skills in a major language (Java, Go, C/C++, Python).
• Interest in distributed/storage systems and operational excellence.
• Excellent delivery focus and communication skills.
• Experience with large production services and on-call scenarios.

Responsibilities

• Independently drive execution of complex technical projects end to end.
• Build mission-critical backend services delivering value to customers.
• Architect, design, develop and operationalize high performance, scalable services.
• Troubleshoot deep technical issues across microservices, containers and virtualization.
• Ensure services meet availability and performance SLAs.

Skills

Backend design

Java

Go

C/C++

Python

Distributed systems

Team leadership

Job description

Confluent is a remote-friendly engineering company redefining data movement with a streaming platform. WarpStream, an Apache Kafka compatible service, is built atop object storage and delivered as a BYOC-style offering.

As a Senior Engineer, you’ll contribute across the stack—from storage engines to multi-tenant control planes and developer consoles. You’ll solve complex distributed systems problems at scale, build services across AWS, GCP and Azure, and work with a small, fully remote team that