QA Automation Engineer - Cloud & Infrastructure

About the role

Role Overview

We are looking for a QA Automation Engineer with strong cloud and infrastructure expertise who can operate at the intersection of quality, reliability, and system-level testing.

You will build automation that validates complex cloud-native systems across Kubernetes and multi-cloud environments. You'll test not just whether a feature works, but whether the underlying infrastructure remains reliable under scale, failure, and operational stress.

What You’ll Work On

- Kubernetes-based distributed systems

- AWS, Azure and GCP environments

- Multi-cloud and multi-cluster infrastructure

- Infrastructure and deployment automation

- Kubernetes workload and cluster validation

- Cloud service integrations

- Observability and alerting pipelines

- Reliability validation and chaos testing

- API, integration and end-to-end automation

- CI/CD reliability gates

Key Responsibilities

- Design and build scalable automation frameworks for cloud infrastructure and system-level validation

- Automate validation of Kubernetes clusters, workloads and deployments

- Test cloud infrastructure across AWS, Azure and GCP

- Validate infrastructure changes and deployment workflows

- Build automated tests for multi-cluster and distributed environments

- Design failure-injection and chaos scenarios for cloud infrastructure

- Validate system behavior during infrastructure and service failures

- Integrate automated validation into CI/CD pipelines

- Analyze failures using logs, metrics and traces

- Partner with SRE, Platform and Backend teams to improve system reliability and testability

- Lead root cause analysis of infrastructure and production failures

- Build reusable automation utilities and validation tooling

- Establish reliability gates that prevent defective infrastructure or deployments from reaching production

Technical Expectations

Deep Expertise In

- Cloud infrastructure and distributed systems

- Kubernetes architecture and troubleshooting

- Cloud failure modes and reliability

- Multi-cluster environments

- Observability and production debugging

- Infrastructure automation

Strong Hands-on Experience With

- AWS / Azure / GCP

- EKS, GKE or managed Kubernetes platforms

- Docker and Kubernetes

- Infrastructure-as-Code

- CI/CD pipelines

- Cloud networking fundamentals

- Chaos testing and reliability engineering

- API and system-level testing

Programming

- Strong coding skills in Python and Go (mandatory)