Drimva

JPMorgan Chase

Lead Software Engineer - Quality Assurance / Test Automation / Agentic Systems

$157K–$215K

Plano, TX · Full-time · Posted Oct 15, 2026

Experience
5+ years applied experience; no alternatives stated.
Education
Formal training or certification on software/quality engineering, software development in testing automation concepts.

About the job

Leads engineering of enterprise-scale, human-gated test automation and agentic testing for IAM journeys, supporting reliable, auditable, evidence-based releases.

What you'll do

  • Set journey-quality strategy, maintain journey coverage, and define risk-based acceptance and release criteria.
  • Build and operate automated UI, API, and partner-integration testing, including deterministic data, stable environments, and simulations.
  • Develop a guarded agentic testing ecosystem and report release readiness, quality risks, and evidence to stakeholders.

What they ask for

  • Formal training or certification in software/quality engineering or software development in test automation concepts, plus 5+ years of applied experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Advanced skills in one or more programming languages and frameworks; hands-on automation, continuous delivery, and API-testing experience.
  • Experience with approved AI-assisted development practices and building and operating MCP Servers/clients to connect LLM agents to tools.

Nice to have

  • Experience implementing human-in-the-loop guardrails, signed/versioned catalogs, drift controls, and coverage-integrity mechanisms.
  • Experience designing agentic/LLM-assisted pipelines for continuous test selection, execution, and reporting across environments.

Pay

$156,750.00-$215,000.00 USD base salary

Tools

Java, Cucumber/Gherkin, SQL, Rest API, Jira, Playwright, Selenium, MCP Servers/clients

AI focus

Leads adoption of approved AI-assisted engineering and builds a human-gated LLM-agent testing system connected to tools, with controls for correctness, security, determinism, and auditability.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)