About Avaya

Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.

The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at https://www.avaya.com

Job Information

Job Code: 00194009

Job Family: Research and Development

Job Function: Software Engineering

About The Chance

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.

About The Requirements

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.

Experience

2 - 3 Years experience or Engineer One equivalent

Education

Bachelor degree or equivalent experience

Master degree or equivalent experience

Preferred Certifications

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Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.

📌 Software Engineer II (Pune)
🏢 Avaya
📍 Pune