Lead AI-Driven SRE Engineer for Secure, Scalable Systems

JPMorgan Chase

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

JPMorganChase in Seattle seeks a Lead Software Engineer to join the Enterprise Technology, Infrastructure Platforms team. You will act as a core technical contributor, delivering trusted, scalable technology across multiple domains, while guiding AI-assisted engineering practices and secure coding standards.

You will lead design, development, testing, and operational stability, with emphasis on SDLC mastery, CI/CD, and performance optimization.

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years of experience.
  • Hands-on experience delivering system design, application development, testing and operational stability.
  • Demonstrated experience leading the use of AI-assisted development tools with validation of outputs.

Responsibilities

  • Executes creative software solutions with design, development and troubleshooting.
  • Develops secure, high-quality production code and reviews code written by others.
  • Drives adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed.
  • Applies SDLC tools and AI-assisted capabilities to improve automation and value.
  • Identifies opportunities to automate recurring issues to improve stability.
  • Leads evaluation sessions with external vendors and internal teams to assess architectural fit.

Skills

5+ years exp
System design
Programming languages
AI-assisted tools
Secure coding
CI/CD / Agile

Tools

CI/CD tools
Code review tools
Automation tools

Job description

JPMorganChase in Seattle seeks a Lead Software Engineer to join the Enterprise Technology, Infrastructure Platforms team. You will act as a core technical contributor, delivering trusted, scalable technology across multiple domains, while guiding AI-assisted engineering practices and secure coding standards.

You will lead design, development, testing, and operational stability, with emphasis on SDLC mastery, CI/CD, and performance optimization.

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