Drimva

JPMorgan Chase

Senior Principal Software Engineer

$233K–$325K

Jersey City, NJ +2 · Principal · Full-time · Posted Sep 30, 2026

Location
Jersey City, NJ
Plano, TX
Columbus, OH
Experience
10+ years of applied experience.
Education
Formal training or certification on software engineering concepts.

About the job

Leads engineering strategy and development across a technology portfolio, building reusable software capabilities and guiding secure, measurable adoption of agentic AI-enabled engineering.

What you'll do

  • Advise and lead strategy and development for multiple products, applications, and technologies; create production code and reusable frameworks across teams.
  • Set standards and guardrails for agentic AI-enabled engineering, including automation, validation, security, resiliency, and reuse.
  • Translate complex technical issues for leadership and influence business, product, and technology stakeholders.

What they ask for

  • Formal training or certification in software engineering concepts and 10+ years of applied experience.
  • Practical experience in system design, application development, testing, and operational stability; expertise in one or more programming languages.
  • Demonstrated experience scaling agentic AI-enabled development patterns across teams, with governance for human-in-the-loop validation, auditability, and secure handling of sensitive inputs and outputs.
  • Extensive practical cloud native experience; experience influencing across functions and solving complex technology problems.

Nice to have

  • Experience in large, regulated, or complex enterprise environments, or with identity and access management technologies.
  • Experience with cloud platforms, platform engineering, internal developer portals, API ecosystems, event-driven systems, integration platforms, AI coding tools, or engineering-practice metrics.

Pay

$232,750.00-$325,000.00 USD base salary

Tools

agentic AI-enabled engineering, Software Development Life Cycle toolchain, cloud native, identity and access management technologies, cloud platforms, internal developer portals, API ecosystems, event-driven systems

AI focus

Sets strategy, standards, and governance for agentic AI-enabled engineering and automation across teams, targeting improvements in delivery speed, reliability, and code quality while addressing validation, security, resiliency, auditability, and sensitive data handling.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)