QA Automation Engineer - Cloud & Infrastructure

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.

Responsibilities:

• 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.
• 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 behaviour during infrastructure and service failures.
• Integrate automated validation into CI/CD pipelines.
• Analyse 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.

The core requirements for the job include the following:

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).
• Experience building automation frameworks and system-level tooling.
• Proficiency in Shell scripting and infrastructure automation.