Job Description

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.