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Common QA automation title and metro location balanced by niche Kubernetes/cloud validation requirements.
Core automation and Kubernetes skills transfer across industries, though contact-center domain knowledge increases specialization.
Explicit 6-8 years plus mandatory Kubernetes, CI/CD, cloud, and programming requirements enforce strict filtering.
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Own automation strategy and develop automated validation frameworks for DevOps delivery flows including build, deployment, and runtime validations in Unified Communications and Contact Center platforms.
Validate Kubernetes-backed deployments, REST APIs, platform service integrations, and CI/CD pipeline quality gates to ensure release readiness and operational resilience.
Analyze failures across logs and deployment metadata to troubleshoot defects affecting delivery stability and cross-team integrations.
6-8 years of experience in QA Automation, SDET, Software Test Engineering, or Platform Validation roles.
Strong programming skills in Python, TypeScript, Java, or C# with Git/Git workflow experience.
Hands-on experience with Kubernetes validation (rollout verification, pod health, log analysis) and CI/CD integration using tools like GitHub Actions, Jenkins, or Azure DevOps.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Experienced in automating validations for cloud-native, large-scale enterprise communication platforms with end-to-end API and microservices integration.
Comfortable working closely with cross-functional DevOps, Platform, Cloud, and Engineering teams to enhance delivery quality and operational readiness.
Strong system-level troubleshooting and analytical skills focused on production-quality validation and release confidence.