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

Codvo.ai; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Codvo.ai is seeking a skilled QA Automation Engineer to drive quality in Unified Communications and Contact Center platforms. This role involves validating delivery and runtime behavior for DevOps-led changes and requires expertise in automation engineering and cloud-native deployments.

The ideal candidate should have 6–8 years of experience, strong programming skills in Python or similar, and hands-on experience with CI/CD systems. Key responsibilities include designing automated testing frameworks and validating Kubernetes deployments.

Qualifications

• 6–8 years of experience in QA Automation, SDET, or Software Test Engineering.
• Strong programming expertise with solid Git workflow experience.
• Hands‑on experience with Kubernetes, CI/CD systems, and cloud validation.

Responsibilities

• Design and maintain automated frameworks for DevOps delivery flows.
• Integrate validation suites into CI/CD to enable continuous quality.
• Analyze failures across pipeline logs to identify defects.

Skills

Python

TypeScript

Java

C#

Kubernetes validation

CI/CD integration

Tools

GitHub Actions

Jenkins

Azure DevOps

Terraform

Ansible

Job description

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

We are seeking highly skilled QA Automation Engineers (DevOps) 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.

Key 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.

Required Qualifications

• 6–8 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

Why Join Us

This role offers an opportunity to work on enterprise‑grade Unified Communications and Contact Center platforms, driving quality across cloud‑native deployments, DevOps automation, CI/CD, and large‑scale service integrations while shaping delivery excellence and platform reliability.