Principal Data Platform Engineer — AI-Driven & Cloud-Native

JPMorganChase

Jersey City (NJ)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health care coverage
On-site wellness centers
Retirement savings plan
Tuition reimbursement

Job summary

JPMorganChase is seeking a Principal Software Engineer within Corporate Technology to drive secure, scalable product delivery. You will lead engineering efforts, architect AI-enabled workflows, and collaborate with senior stakeholders across portfolios.

Bring 7+ years of software engineering, strong cloud-native experience, and expertise in multiple programming languages to influence across teams and ensure high standards of quality and resilience.

Qualifications

  • 7+ years of software engineering experience with system design and operations.
  • Experience leading adoption of agentic AI-enabled development practices.
  • Strong communication with senior leaders and business stakeholders.
  • Practical cloud-native experience.
  • Expert in one or more programming languages.

Responsibilities

  • Create complex and scalable coding frameworks.
  • Develop secure, high-quality production code and review others' code.
  • Architect AI-enabled engineering workflows and set guardrails.
  • Improve delivery speed, code quality, and scalability.
  • Advise cross-functional teams on technology matters.
  • Serve as go-to subject matter expert.
  • Contribute to technical methods and reusable frameworks.
  • Influence leaders across business, product, and tech.

Skills

Software engineering
System design
Agentic AI
Cloud native
Leadership
Executive communication

Tools

SDLC Tools
AI Tools

Job description

JPMorganChase is seeking a Principal Software Engineer within Corporate Technology to drive secure, scalable product delivery. You will lead engineering efforts, architect AI-enabled workflows, and collaborate with senior stakeholders across portfolios.

Bring 7+ years of software engineering, strong cloud-native experience, and expertise in multiple programming languages to influence across teams and ensure high standards of quality and resilience.

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