Senior Test Lead
Bangalore, Karnataka
Job Summary
Validate deployment, functionality, performance, resilience, security, and operability of cloud-native telecom applications running on AWS. Build repeatable automated validation and produce evidence for release and customer acceptance
Key Responsibilities
Review architecture and requirements to define AWS deployment, integration, performance, resilience, security, and upgrade test coverage.
Provision or consume AWS environments and deploy containerized applications using infrastructure and CI/CD pipelines.
Validate compute, network, storage, load balancing, identity, observability, scaling, and high-availability behavior.
Execute functional, end-to-end, negative, failover, disaster-recovery, capacity, and performance tests.
Automate setting checks, deployment validation, test execution, evidence collection, and cleanup.
Monitor application and infrastructure metrics, logs, traces, and alarms to diagnose failures and bottlenecks.
Document test plans, cases, results, defects, risks, and release recommendations.
Partner with AWS, architecture, development, security,
operations, and customer teams to resolve gaps.
Skill Requirements
Hands-on AWS experience with cloud infrastructure and containerized application validation.
Robust knowledge of Kubernetes or Amazon EKS, Linux, networking, load balancing, storage, IAM, and observability.
Experience designing and executing functional, performance, resilience, and upgrade validation.
Automation experience using Python, shell, Terraform, CloudFormation, or equivalent.
Working knowledge of CI/CD, Git, deployment pipelines, test reporting, and defect management.
Solid troubleshooting skills across application, platform, network, and infrastructure layers.
Other Requirements
AWS certification such as Solutions Architect, SysOps Administrator, or DevOps Engineer.
Telecom workload exposure, including 4G/5G core or cloud-native network functions.
Experience with security validation, chaos engineering, service mesh, autoscaling, and cost or capacity optimization.
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