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

BETSOL; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Doist in Pune is seeking Platform/DevOps Senior QA engineers to drive quality engineering for UC and Contact Center platforms. You will validate devops-led delivery across CI/CD, deployments, and platform integrations, owning automation strategy and release readiness.

The role requires hands-on experience with cloud-native deployments, APIs, and observability in large-scale enterprise environments. You will collaborate with cross-functional teams to improve deployment confidence and operational

Qualifications

• Experience building and maintaining automated validation and testing suites for DevOps delivery flows.
• Strong automation engineering expertise and hands-on validation of cloud-native deployments.

Responsibilities

• Design, develop, and maintain automated validation frameworks for DevOps delivery flows.
• Validate Kubernetes-backed deployments for UC and Contact Center workloads (rollout status, readiness, ingress, pod health).
• Integrate automated validation suites into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps).
• Validate end-to-end service integrations across workflows, APIs, platform services, identity systems, and microservices.
• Analyze failures across pipeline logs, Kubernetes events, and runtime logs to identify defects.
• Own automation coverage strategy, quality gates, and exit criteria for platform changes.
• Reduce test instability by addressing flaky automation patterns and improving reliability.
• Validate REST APIs, JSON/YAML payloads, and service contracts for UC/Contact Center capabilities.
• Document environment dependencies, validation evidence, and release readiness metrics.
• Collaborate with Platform Engineering, DevOps, SRE, Cloud, and Product teams to improve delivery quality.

Skills

Automation testing

CI/CD

Kubernetes

REST APIs

Git

Tools

Jenkins

GitHub Actions

Azure DevOps

Job description

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.