Senior Platform & AI Solutions Engineer

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Jersey City invites a senior software engineer to design and implement secure, scalable solutions across a reusable components portfolio. The role emphasizes developing high-quality production code, automation, and operational stability.

You will drive cloud-native development, review code, and lead vendor evaluations while fostering communities of practice and advancing AI-enabled development across the enterprise.

Qualifications

  • Formal training or certification in software engineering with 5+ years of experience
  • Experience delivering system design, development, testing, and operations
  • Strong programming skills and automation/CI-CD proficiency
  • Deep understanding of SDLC, agile methods, security
  • Proven expertise in cloud-native solutions and ML/AI concepts
  • Hands-on experience with cloud environments and dev tooling

Responsibilities

  • Executes innovative technical solutions across a reusable-components portfolio.
  • Develops secure, high-quality production code and reviews code.
  • Identifies opportunities to automate remediation and improve stability.
  • Builds drop-in, agent-native components with automated upgrades.
  • Leads evaluation sessions with vendors and teams to assess designs.
  • Leads communities of practice to promote new technologies and shared frameworks.

Skills

Software engineering
CI/CD
Cloud
AI/ML
Automation
Agile

Education

Formal software engineering training

Tools

SDK development
Model Context Protocol

Job description

JPMorgan Chase & Co. in Jersey City invites a senior software engineer to design and implement secure, scalable solutions across a reusable components portfolio. The role emphasizes developing high-quality production code, automation, and operational stability.

You will drive cloud-native development, review code, and lead vendor evaluations while fostering communities of practice and advancing AI-enabled development across the enterprise.

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