Lead Software Engineer (AI - Quality focus)

NICE•Atlanta, GA

17h•Hybrid

About The Position

Lead the strategy and execution of our AI-accelerated test automation program as engineering delivery speeds up with tools like Claude. You will own the test automation platform, frameworks, and CI quality gates that keep releases reliable at high velocity—using AI to scale test creation and maintenance across teams, improve signal-to-noise in CI, and drive adoption of consistent automation practices.

Requirements

10+ years of software engineering experience with a strong emphasis on test automation (unit, integration, end-to-end) and quality engineering practices
Strong programming skills in one or more languages such as Python, C#, Java, or TypeScript
You have a platform mindset and are energized by building infrastructure and frameworks that enable product teams to move faster.
Experience building automation for APIs and distributed systems; UI automation experience is a plus
Experience with CI/CD, test reporting/observability, and maintaining reliable pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps)
Proven ability to apply AI/LLM tools to scale automation (e.g., generate/refine tests, expand edge cases, refactor brittle suites, and accelerate failure triage) while implementing guardrails so AI output is verified, traceable, and safe to ship
Excellent debugging and root-cause analysis skills across code, data, and infrastructure
Strong communication skills; able to translate quality risks into clear tradeoffs and action plans
Demonstrated technical leadership across teams (driving standards, roadmap execution, and stakeholder alignment)
Self-directed, comfortable with ambiguity, and biased toward action

Nice To Haves

Modern test frameworks (e.g., pytest, JUnit, NUnit) and API testing (e.g., REST, gRPC)
UI automation with Playwright, Cypress, or Selenium
Containerization and environments (Docker; Kubernetes a plus)
Relational databases and SQL; ability to validate data pipelines and analytics outputs
Experience with ElasticSearch or similar text-retrieval data stores
Performance/load testing (e.g., JMeter, k6, Locust) and profiling/observability
Cloud experience (AWS/Azure/GCP) and Infrastructure-as-Code (e.g., Terraform) a plus
Experience building AI-enabled automation workflows (e.g., Claude/OpenAI APIs, prompt patterns for test generation, repo-aware Q&A/RAG, and scripts/services that turn AI output into runnable tests)
Agile software development experience (Scrum / XP)

Responsibilities

Set direction for test automation tooling and AI-assisted techniques that accelerate test design, authoring, maintenance, and triage
Be a highly visible, vocal advocate for quality—lead cross-team discussions, drive alignment and decisions, and escalate risks/blockers immediately
Own automated coverage and risk reporting (unit/integration/e2e) and use it to drive targeted gap closure and release readiness
Own the automation platform: define and build scalable frameworks, standards, and governance (services, APIs, UI) that enable teams to produce robust, consistent coverage
Lead by example—write automation, set the quality bar, mentor engineers, and drive adoption of the practices you establish
Own CI automation health—build and maintain test environments, pipelines, and tooling (including containers/CI), reduce flakiness, and shorten feedback loops
Lead risk-based test strategy with product and engineering—define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality