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Avaya

Test Automation Engineering Lead

Avaya

. Lead, mentor, and grow a remote/distributed automation team .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $179,127 - $234,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software and test engineering, with a strong focus on automation, performance engineering, and cloud-native technologies. Proficient in leading remote teams and implementing robust testing architectures while ensuring compliance with industry standards.

Highest-signal resume keywords
Technical Leadership of Remote TeamsHands-On Coding ExperiencePlaywright and API/Integration AutomationLoad and Performance Tooling ExperienceCloud-Native Proficiency with Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptJavaScriptLoad/Stress TestingPerformance EngineeringTesting ArchitectureCI/CD IntegrationMeasurement InterpretationSIP/RTP/WebRTC InspectionAI Coding Tools
Soft Skills
Pragmatic Decision-MakingAdaptability Under Changing Priorities
Tools & Technologies
GitHub ActionsJenkinsArgo CDPrometheusGrafanaLokiThanosKubernetesTerraformHelm
Industry Keywords
FedRAMPPCI DSSSOC 2Telephony TechnologyContact-Center SystemsEvent-Driven ArchitecturesDistributed SystemsReal-Time Media TestingAgentic WorkflowsPolicy-Gated Remediation

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDNSGoogle Cloud PlatformGrafanaJavaScriptJenkinsJMeterKafkaKubernetesLinuxPrometheusPythonRedisTerraformTypeScript

About the role

Key responsibilities & impact
  • Lead, mentor, and grow a remote/distributed automation team
  • Establish engineering standards, technical direction, code review, delivery accountability, and a visible engineering backlog
  • Contribute production-quality code as a hands-on architect, coder, and troubleshooter
  • 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
  • Embed tests into GitHub Actions, Jenkins, Argo CD, and GitOps delivery gates
  • Build 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
  • 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, including workload modeling, load/stress/soak testing, concurrency, throughput, queue depth, latency, resource saturation, capacity limits, and customer-experience thresholds
  • Introduce chaos and fault-injection scenarios with 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
  • Drive observability-led troubleshooting using Prometheus, Grafana, Loki, Thanos, Alloy, OpenTelemetry, traces, packet captures, and traffic analysis
  • Debug failures across browsers, APIs, networks, 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

Requirements

What you’ll need
  • 10+ years in software/test engineering or quality engineering
  • Meaningful technical leadership of remote or globally distributed engineers
  • Current hands-on coding experience
  • Strong Python, TypeScript/JavaScript, or equivalent programming skills
  • Playwright and API/integration automation experience
  • Testing architecture and maintainable framework experience
  • CI/CD integration experience
  • Hands-on load and performance tooling experience, such as 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 test engineering work, with validation and security controls
  • Ability to make pragmatic technical decisions and deliver iteratively under changing priorities without sacrificing reliability
  • Bachelor's degree or equivalent experience
  • Preferred: Azure/GCP/AWS, Terraform, Helm, Argo CD/GitOps
  • Preferred: Kafka, Redis, relational/document databases, and event-driven architectures
  • Preferred: Telephony and contact-center technology, including SBCs, codecs, jitter, packet loss, MOS, call flows, dial plans, IVR, and agent desktop
  • Preferred: Policy-gated autonomous remediation, MCP/tool orchestration, AI agent evaluation, and protected test-data handling
  • Preferred: Engineering in regulated environments with traceability and evidence supporting FedRAMP, PCI DSS, or SOC 2
  • Must be currently authorized to work in the United States without visa sponsorship now or in the future

Benefits

Comp & perks
  • Benefits offered; specific benefits are not listed