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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Test Automation Engineering Lead - **Company:** Avaya Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $179,127 - $234,100 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Computer Programming, Databases, Continuous Integration, Software Debugging, Linux, Distributed Systems, Domain Name System (DNS), Github, Apache JMeter, Python (Programming Language), Load Testing, Packet Analyzer, Octopus Deploy, PCI Data Security Standards, Redis, Reliability Engineering, Prometheus, Zero Trust Network Access, Test Management, Traffic Analysis, TypeScript, WebRTC, Data Processing, Transport Layer Security, Grafana, Concurrency, Gatling, AI Coding Agents, Agentic-AI, Rate Limiting, Event Driven Architecture, Integration Tests, Kubernetes, Information Technology, Low Latency, Deployment Automation, Playwright, Apache Kafka, Virtual Agents, Api Gateway, Software Coding, Terraform, Jenkins - **Published:** November 11, 2026 - **Apply:** https://careers.avaya.com/talentcommunity/apply/1456223133/?locale=en_US ## About the Role * 10+ years in software/test engineering or quality engineering, including meaningful technical leadership of remote or globally distributed engineers; demonstrable current hands-on coding. * Strong Python, TypeScript/JavaScript or equivalent programming; Playwright and API/integration automation, testing architecture, maintainable frameworks and CI/CD integration. * Hands-on load and performance tooling (e.g., k6, Gatling, JMeter or Locust), measurement interpretation and systems-level bottleneck investigation. * Production or lab experience testing real-time voice/media or contact-center systems; ability to inspect SIP/RTP/WebRTC/HTTP traffic and reason about customer-visible outcomes. * Cloud-native proficiency with Kubernetes, Linux, networking, TLS, DNS, ingress/API gateways, distributed systems and observability stacks. * Experience applying AI coding tools or agentic workflows to real test engineering work, with validation and security controls. * Ability to make pragmatic technical decisions and deliver iteratively under changing priorities without sacrificing reliability., Bachelor degree or equivalent experience in Computer Science or Engineering, Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. ## Description As a Player-Coach Test Engineering Lead, you will lead a geographically distributed test engineering team while remaining a hands-on architect, coder and troubleshooter. You will own the engineering of a CI/CD-native quality system for cloud-based voice, media and contact-center platforms: functional automation, protocol- and traffic-level validation, synthetic monitoring, performance and chaos engineering. You will also transform conventional QA into an AI-enabled, continuously validating engineering capability. This is a player-coach role in a fast-paced, startup-like environment-not a coordination-only test management position., * Lead, mentor and grow a remote/distributed automation team; establish standards, technical direction, code review, delivery accountability and a visible engineering backlog while contributing production-quality code. * Architect and implement Playwright-based UI/API automation, contract and integration tests, service-level tests, and end-to-end customer journeys. Select complementary tools for protocols and real-time media where browser automation is insufficient. * Embed tests into GitHub Actions/Jenkins/Argo CD and GitOps delivery gates: pull-request checks, ephemeral environments, deployment verification, risk-based suites, release qualifications and fast failure feedback. * Build reliable voice/media/contact-center test harnesses covering SIP signaling, RTP/SRTP media, WebRTC, IVR, agent interactions, call routing, conferencing, transfers, hold/resume, recording and messaging where applicable. * Engineer continuous traffic generation and synthetic journeys across calling, messaging and API workflows; correlate functional outcomes with signaling traces, media quality, logs, infrastructure and service telemetry. * Own performance engineering: workload modeling, load/stress/soak testing, concurrency, throughput, queue depth, latency, resource saturation, capacity limits and customer-experience thresholds. * Introduce chaos/fault-injection scenarios (node failures, network impairment, dependency loss, rate limiting, failover, degraded media) with explicit blast-radius and rollback safeguards. * Build agentic workflows for test generation, execution orchestration, flaky-test diagnosis, selective retesting, impact analysis, root-cause hints and self-healing pipelines; require auditable, reviewed repairs rather than silent assertion weakening. * Drive observability-led troubleshooting using Prometheus, Grafana, Loki, Thanos, Alloy, OpenTelemetry, traces, packet captures and traffic analysis; debug failure across browser, API, network, Kubernetes, services and databases. * Partner with platform, SRE, CloudOps, application engineering, security and release teams on security, zero trust, FedRAMP/PCI DSS/SOC 2 evidence, test-data protection and release readiness., * Azure/GCP/AWS, Terraform, Helm, Argo CD/GitOps; Kafka, Redis, relational/document databases and event-driven architectures. * Telephony and contact-center technology (SBCs, codecs, jitter, packet loss, MOS, call flows, dial plans, IVR and agent desktop). * Experience with policy-gated autonomous remediation, MCP/tool orchestration, AI agent evaluation and protected test-data handling. * Engineering in regulated environments with traceability and evidence supporting FedRAMP, PCI DSS or SOC 2.