Senior IAM Automation & Testing Lead

慨正橡扯

Plano (TX)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Health benefits

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase is seeking a Lead Software Engineer within the CTO IAM program. You will build, integrate, and operate enterprise-scale automation and a human-gated testing ecosystem that accelerates delivery while protecting quality, controls, and auditability.

You will own end-to-end IAM journeys and champion true continuous delivery with evidence-based releases. As a core technical contributor, you will design and implement test strategies, automate integration validation, and drive AI-assisted

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.

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 while establishing consistent validation standards and promoting reuse of effective patterns.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, 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 that emulate partner behaviors and isolate dependency risk.
Own defect prevention loop to lead reproduction—triage—fix validation—prevention, feeding failure patterns back into coverage, data strategies, and automation improvements.
Report journey health with clarity by providing executive-ready readiness reporting that explains risk, coverage, and release posture in plain language—backed by evidence, not volume metrics.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and must add to team culture of diversity, opportunity, inclusion, and respect.