Lead Software Engineer - Identity & Access (AI-Driven)

JPMorgan Chase

Plano (TX)

On-site

USD 140,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Health care coverage
Retirement savings plan
Tuition reimbursement

Job summary

JPMorgan Chase is seeking a Lead Software Engineer - Identity Access Management in the CTO Team in Plano, TX. You will design, develop, and deliver secure, scalable software components, and mentor engineers while promoting AI-assisted development practices across distributed teams.

You will drive architecture, code quality, and testing strategies with a focus on secure coding, observability, and performance, collaborating with product teams to meet business needs.

Qualifications

  • Formal training or certification on software engineering concepts.
  • Demonstrated leadership in AI-assisted development tools and setting team standards.
  • Strong understanding of secure coding and resiliency expectations.

Responsibilities

  • Leverage AI-assisted engineering tools to accelerate design, coding, testing, troubleshooting, and automation.
  • Produce architecture and design artifacts for complex applications and ensure code quality.
  • Drive adoption of enterprise AI practices to improve code quality, delivery speed, and operational outcomes.
  • Design, develop, and improve scalable, resilient systems in collaboration with product teams.
  • Write clean, well-documented, unit-tested code with non-functional requirements like telemetry and security.
  • Mentor team members in best practices and coach across distributed Agile teams.

Skills

Java
REST APIs
Spring Boot
Microservices
OO Design
Multithreading
Security
Telemetry/Monitoring
Team leadership
AI-assisted development

Education

Formal software engineering training or certification

Tools

Terraform
Git
Jenkins
CI/CD tooling
Selenium/Cucumber

Job description

JPMorgan Chase is seeking a Lead Software Engineer - Identity Access Management in the CTO Team in Plano, TX. You will design, develop, and deliver secure, scalable software components, and mentor engineers while promoting AI-assisted development practices across distributed teams.

You will drive architecture, code quality, and testing strategies with a focus on secure coding, observability, and performance, collaborating with product teams to meet business needs.

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