Lead IAM Automation & Quality Engineer

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Plano, TX, to join the CTO IAM program. You will architect and deliver automation, test frameworks, and end-to-end testing strategies across enterprise-scale products.

You will champion AI-assisted practices while ensuring determinism, security, and auditability in a complex IAM stack. The role emphasizes release-grade evidence across environments, collaboration with Product/Engineering/Operations, and leadership in communities of practice for

Qualifications

• Formal training or certification on software/quality engineering, software development in testing automation concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) and framework(s) (i.e., Java, BDD suites - cucumber/gherkin, SQL, Rest API, Jira, etc.)
• Proficiency hands on engineering, automation depth and continuous delivery methods (UI automation - playwright/selenium), along with experience in API testing with a track record of building stable suites (selectors/fixtures, reliability patterns, deterministic data, flake control)
• Understands enterprise testing ecosystems with familiarity and ability to standardize across frameworks such as FiTest+ and/or other harnesses used by the organization (alongside modern OSS stacks)
• Build and operationalize an agentic testing ecosystem to design, implement, and run a human-gated agent framework that accelerates test authoring, selection, execution, and triage—connecting agents to real tools (frameworks, CI/CD, APIs, data sources) while enforcing guardrails for correctness, determinism, security, and auditability
• Release readiness & governance with entry/exit criteria, evidence-based sign-off, and strong partnership in Release Management in a CD operating model - along with curate and version a trusted test catalog, continuously measuring agent “fitness” (precision, drift, false positives/negatives), and ensure outputs remain release-grade across environments
• Establish and maintain strong partnership across Product/Engineering/Operations and other lines of business, with executive-ready reporting and risk articulation
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Set and run journey quality strategy to convert product intent into risk-based acceptance criteria, measurable quality outcomes, and clear entry/exit standards for key IAM journeys
• Design coverages that stays current with maintaining a living journey map and continuously tune regression & performance testing scope based on change impact and production learnings
• Engineer partner-facing integration validation by implementing contract tests, stubs/simulators, and automated integration/acceptance suites
• Identifies opportunities to automate remediation of recurring issues to improve operational stability
• Improve reliability of the testing system by reducing flakiness through stability patterns and clear quarantine/triage rules
• Own defect prevention loop through reproduction→ triage→ fix validation→ prevention, feeding failure patterns back into coverage and automation
• Report journey health with executive-ready readiness reporting backed by evidence
• Leads communities of practice across Software Engineering to drive adoption of new technologies and foster diversity and inclusion

Skills

Java

Selenium

Playwright

REST API

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

JUnit

Cucumber

Git

Jira

FiTest+

Job description

JPMorganChase is seeking a Lead Software Engineer in Plano, TX, to join the CTO IAM program. You will architect and deliver automation, test frameworks, and end-to-end testing strategies across enterprise-scale products.

You will champion AI-assisted practices while ensuring determinism, security, and auditability in a complex IAM stack. The role emphasizes release-grade evidence across environments, collaboration with Product/Engineering/Operations, and leadership in communities of practice for