QA Automation Engineer - Network and Distributed Systems

The role

You will design and build scalable automation frameworks for network, API, integration and system-level validation. You will work on Kubernetes-based distributed systems, network-heavy systems, and reliability validation through failure-injection testing.

What you will do

• Design and build scalable automation frameworks for network, API, integration and system-level validation
• Build automated tests for service-to-service communication and distributed workflows
• Validate system behavior under network failures, latency, packet loss, connectivity issues and partial failures
• Develop failure-injection and reliability tests for distributed systems
• Validate Kubernetes networking and multi-cluster behavior
• Integrate automated validation into CI/CD pipelines
• Analyze failures across logs, metrics, traces and network signals
• Partner with SRE, Platform and Backend teams to make systems more testable and observable
• Perform deep-dive root cause analysis on system and network failures
• Build reusable testing utilities and infrastructure

Required qualifications

• Networking fundamentals and distributed systems
• TCP/IP, DNS, HTTP/HTTPS and service communication
• Kubernetes networking
• Network failure modes and troubleshooting
• Distributed-system failure scenarios
• Observability and production debugging
• Kubernetes / multi-cluster environments
• AWS, Azure or GCP networking
• VPCs, load balancers, routing and IAM
• Network troubleshooting and debugging
• API and integration testing
• Chaos / failure-injection testing

About the company

Ciroos is an early-stage AI startup focused on Site Reliability Engineering (SRE). The company acts as an AI SRE teammate to investigate incidents, determine root causes, and automate remediation.