About the role
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
Position Overview
We are seeking an experienced test automation engineer to drive end-to-end software quality and operational reliability across our high-scale cloud, contact-center, and real-time communications solutions. You will be responsible for engineering robust, CI/CD-integrated automation frameworks that evaluate key quality dimensions including API integrity, protocol signaling, audio/video media performance, and infrastructure capacity. Operating in an innovative, fast-paced environment, you will combine agentic AI development tools with advanced problem-solving methodologies to optimize validation pipelines and elevate production excellence.
Responsibilities
Design, code and maintain Playwright test suites for application UI and API journeys; add contract, integration, cross-service and end-to-end validation with reliable fixtures, test data and deterministic assertions.
Wire automated suites into GitHub Actions/Jenkins pipelines and GitOps/Argo CD release flows; implement parallelization, selective test execution, environment readiness checks and post-deployment sanity gates.
Develop automated voice/media/contact-center scenarios including SIP call setup/teardown, RTP/SRTP media, WebRTC, IVR, queues, agent workflows, transfer/hold/conference, recording and relevant messaging journeys.
Build synthetic tests and continuous traffic generation to validate golden journeys, detect regressions and generate meaningful signals under routine and failure conditions.
Implement performance/load/stress/soak testing; model concurrency and transaction rates, analyze p95/p99 latency, throughput, packet loss, jitter, media quality and service saturation.
Implement safe chaos tests for pod/node failures, network degradation, dependency failures and failover; prove recovery behavior and regression protection.
Build AI-assisted/agentic automation for test-authoring, failure clustering, flaky-test investigation, triage and proposal-based self-healing; maintain human review, audit trails and strong assertions.
Troubleshoot failures end-to-end using Prometheus, Grafana, Loki, Thanos, Alloy, OpenTelemetry, Kubernetes events, API logs and packet/traffic traces; identify whether failures arise in tests, products, infrastructure or networks.
Work closely with engineering, SRE, platform and security peers to improve system testability, resilience and secure handling of sensitive test data.
Required Experience
8+ years in software development in test, quality engineering or test automation with substantial recent hands-on coding.
Strong TypeScript/JavaScript or Python and Playwright; robust UI/API automation, integration testing, async/event-driven behavior and CI/CD.
Experience with performance testing tools such as k6, JMeter, Gatling or Locust; ability to interpret traffic, telemetry and actual bottlenecks.
Working knowledge of real-time communications or contact-center testing, including SIP, RTP or WebRTC and troubleshooting call or media flows.
Cloud-native debugging skills: Kubernetes, Linux, containers, HTTP, DNS, TLS, API gateways, networking and distributed services.
Ability to use observability dashboards, traces and logs to isolate problems and convert findings into durable regression tests.
Practical use of AI coding agents or agentic automation to improve engineering output, validated against objective test results.
Preferred Experience
Prometheus, Grafana, Loki, Thanos, Grafana Alloy and OpenTelemetry instrumentation; traffic capture with Wireshark/tcpdump.
Cloud platforms (Azure, GCP, AWS); Terraform, GitOps/Argo CD, Helm, Kafka, Redis and relational/document databases.
Chaos tooling and controlled failure injection; synthetic monitoring and production-like traffic simulations.
Security and compliance aware testing for zero trust, identity, TLS/mTLS, FedRAMP, PCI DSS or SOC 2 environments.
Measures of success
Automated suites detect meaningful regressions quickly and are trusted by developers and release teams.
Critical voice, media and contact-center journeys have continuous, observable automated validation.
Performance and resilience tests surface capacity or failure-mode issues before production impact.
Agentic enhancements accelerate diagnosis and maintenance without hiding product defects or weakening coverage.
Education
Bachelor degree or equivalent experience in Computer Science or Engineering
Sponsorship and Equal Opportunity
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.
Originally posted on Himalayas
