QA Automation Engineer (DevOps) Unified Communications & Contact Center Platforms

About the Platform

This role supports Contact Center as a Service (CCaaS) a cloud-native AI-driven customer experience platform delivering omnichannel customer engagement intelligent routing conversational AI workforce optimization analytics and agent desktop capabilities. The platform follows an Agile/Scrum delivery model with fast-paced delivery frequent releases and CI/CD deployment pipelines.

About the Role

We are seeking highly skilled Platform/DevOps Senior QA engineers to drive quality engineering for Unified Communications (UC) and Contact Center platforms. This role focuses on validating delivery and runtime behavior for DevOps-led changes across CI/CD deployments shared environments platform integrations and service reliability. Engineers will own automation strategy release quality evidence deployment validation and runtime assurance in partnership with Platform DevOps Cloud and Product Engineering teams.

The ideal candidate brings strong automation engineering expertise critical system-thinking and hands-on experience validating cloud-native deployments APIs platform integrations and operational readiness in large-scale enterprise communication ecosystems.

Responsibilities

• Design develop and maintain automated validation frameworks for DevOps delivery flows including build validation artifact verification deployment validation smoke/health testing rollback testing and release readiness.
• Validate Kubernetes-backed deployments for Unified Communications and Contact Center workloads including rollout status readiness/liveness behavior ingress service exposure pod health and runtime observability.
• Integrate automated validation suites into CI/CD pipelines such as GitHub Actions Jenkins and Azure DevOps to enable continuous quality gates.
• Validate end-to-end service integrations across communication workflows APIs platform services identity systems and dependent microservices.
• Analyze and triage failures across pipeline logs deployment metadata Kubernetes events and runtime logs to identify defects affecting delivery stability and cross-team integration.
• Own automation coverage strategy quality gates test cataloging and exit criteria for DevOps-led platform changes.
• Reduce test instability by identifying flaky automation patterns and improving reliability diagnostics and repeatability.
• Validate REST APIs JSON/YAML payloads service contracts and integration points for UC and Contact Center capabilities.
• Document environment dependencies limitations validation evidence release readiness metrics and defect impact assessments.
• Collaborate with Platform Engineering DevOps SRE Cloud and Product teams to improve delivery quality deployment confidence and operational resilience.

Qualifications :

Required Qualifications

• 68 years of experience in QA Automation SDET Software Test Engineering or Platform Validation roles.
• Strong programming expertise in Python TypeScript Java or C# with solid Git/Git workflow experience.
• Hands-on experience integrating automation into CI/CD systems such as GitHub Actions Jenkins or Azure DevOps.
• Strong Kubernetes validation experience including kubectl usage rollout verification pod inspection log analysis service troubleshooting readiness/liveness validation and deployment debugging.
• Hands-on experience validating containers REST APIs JSON/YAML payloads and distributed platform integrations.
• Cloud validation experience with Azure and GCP including environment validation and deployment verification.
• Strong troubleshooting skills with the ability to analyze failures across logs deployment metadata and integration paths.
• Experience defining automation coverage release exit criteria and quality evidence for production readiness.

Preferred Skills

• Exposure to managed Kubernetes platforms such as AKS and GKE.
• Experience validating GitOps workflows (Argo CD) and Infrastructure as Code (Terraform/Ansible) from a QA or validation perspective.
• Knowledge of OAuth2/OIDC authentication and Keycloak integration testing.
• Scripting proficiency in PowerShell and/or Bash for validation diagnostics and automation.
• Experience testing Unified Communications Contact Center VoIP SIP media services routing call flows integrations or enterprise communication systems.
• Understanding of distributed systems observability deployment resiliency and production-quality validation.

Key Competencies

• Strong critical thinking and system-level troubleshooting skills
• Automation-first quality mindset
• High ownership and accountability for release quality
• Cross-functional collaboration across DevOps Platform Cloud and Engineering teams
• Strong analytical and debugging capabilities in complex distributed systems

Remote Work :

No

Employment Type :

Full-time