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Specialized QA automation for Kubernetes and UC/contact-center reduces applicant pool, but mid-level demand keeps competition moderate.
QA automation and Kubernetes skills transfer broadly, but UC/contact-center domain knowledge is somewhat specialized.
Explicit 6–8 years requirement plus mandatory Kubernetes, cloud, and CI/CD skills enforce stringent filters.
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Own and execute automation strategy for DevOps-led changes in Unified Communications and Contact Center platforms, ensuring release quality and deployment validation.
Design, develop, and integrate automated validation frameworks into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) that verify builds, deployments, health, and rollback.
Analyze failures and provide runtime assurance by validating Kubernetes deployments, APIs, platform integrations, and service reliability in large-scale enterprise environments.
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 workflow expertise.
Hands-on experience with Kubernetes validation (rollouts, pod health, logs), CI/CD automation integration, and validating REST APIs and distributed platform integrations.
Experience with cloud validations on Azure and GCP, including environment and deployment verification.
Experienced in validating cloud-native, Kubernetes-backed deployments within large-scale enterprise communication systems.
Demonstrates strong system-level troubleshooting and debugging capabilities across logs, deployment metadata, and integration paths.
Skilled in collaborating cross-functionally with DevOps, Platform, Cloud, and Engineering teams to drive release quality and operational resilience.