Test Automation Engineering Lead

Avaya; United States; Remoto; USD 179.000 - 234.000; Tempo pieno

Descrizione del lavoro

Avaya is seeking a Player-Coach Test Automation Engineering Lead to head a distributed team while remaining a hands-on architect and coder for CI/CD‑native quality systems across cloud‑based voice, media and contact‑center platforms.

You will drive functional automation, protocol validation, synthetic monitoring, performance and chaos engineering, transforming QA into an AI‑enabled, continuously validating engineering capability in a fast‑paced, startup‑like environment.

Competenze

• 10+ years in software/test engineering with leadership of distributed teams.
• Hands-on coding experience across modern QA automation stacks.
• Experience with load/performance testing tools and interpreting results.
• Cloud-native tech and observability exposure; security and release readiness.

Mansioni

• Lead, mentor and grow a remote automation team with standards, direction, code review and backlog.
• Embed tests into GitHub Actions/Jenkins/Argo CD and GitOps gates with PR checks and ephemeral environments.
• Build test harnesses for SIP/RTP/WebRTC/IVR and related media testing.
• Engineerve continuous traffic generation and synthetic journeys; correlate outcomes with traces and telemetry.
• Own performance engineering: load, concurrency, latency, capacity, thresholds.
• Introduce chaos/fault-injection with rollback safeguards.
• Build automated test generation, execution orchestration and self-healing pipelines.
• Collaborate with security, SRE, CloudOps and release teams on governance and data protection.

Conoscenze

Hands-on coding

Remote leadership

QA automation

CI/CD automation

Cloud monitoring

Formazione

Bachelor's degree in Computer Science or Engineering

Strumenti

k6

Gatling

JMeter

Locust

Descrizione del lavoro

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Test Automation Engineering Lead

Location: Virtual, US

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

Position Overview

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.

Responsibilities

• 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.
• 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.
• 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.

Required Experience

• 10+ years in software/test engineering or quality engineering, including meaningful technical leadership of remote or globally distributed engineers; demonstrable current hands‑on coding.
• 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.

Preferred Experience

• 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.

Education

Bachelor degree or equivalent experience in Computer Science or Engineering

Pay Transparency

The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position. Actual total compensation will vary and is based on factors such as a candidate’s qualifications, skills, and competencies.

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.