QA / Automation Engineer - Reliability & Validation Systems

We are looking for a QA/Automation Engineer who operates at the intersection of reliability engineering and system-level QA. You will define how reliability is validated, not just monitored. This includes building automation systems that continuously test, break, and verify complex distributed systems in production-like environments.

Responsibilities

• Define and own the strategy for system-level validation.
• Design and build scalable automation frameworks for API, integration, and end-to-end testing; Kubernetes and system-level validation; and regression and reliability pipelines.
• Build systems that proactively detect failures before they reach production.
• Drive chaos engineering and failure injection practices.
• Establish CI/CD reliability gates with strong validation coverage.
• Partner with SRE, platform, and backend teams to ensure systems are both observable and testable.
• Lead incident analysis with a focus on improving validation and preventing recurrence.
• Mentor engineers and raise the bar for system reliability and quality.
• Kubernetes-based distributed systems at scale.
• Observability and alerting pipelines.
• AI-assisted incident investigation systems.
• Multi-cloud (AWS, Azure, GCP) environments, networking deployments.
• Reliability validation, chaos testing, and failure injection systems.
• Infrastructure and deployment automation pipelines.

Requirements

• Deep Expertise In Kubernetes internals, debugging, and multi-cluster systems; distributed systems behavior and failure modes; observability stacks and alerting frameworks; production incident handling and root cause analysis.
• Strong Hands-on Experience With EKS, GKE, or managed Kubernetes platforms; networking concepts: VPC, load balancers, service communication, IAM, Chaos testing and reliability engineering practices, designing large-scale automation and validation systems.

Programming

• Strong coding skills in Python and Go (mandatory).
• Experience building automation frameworks and system-level tooling.
• Proficiency in Shell scripting and infrastructure automation.

What Makes This Role Different

• You are responsible for ensuring systems are provably reliable, not just operational.
• Deep QA and validation engineering.
• Focus on testing distributed systems, not just application features.
• Work on failure scenarios, not just happy paths.

This job was posted by Umesh Pratap Singh from Ciroos.