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.

Experience
4-8 yrs