Director of Software Engineering

JPMorgan Chase

Quick summary

Work type: On-site
Location: Jersey City, NJNew York, NY
Salary: $204,250–$285,000 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $245k

$126k most similar roles pay here $302k

This role pays more than 86% of similar roles. Most pay $142,749–$216,300 — the shaded band above. At the midpoint, this role pays about $245k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Director of Software Engineering

Role Posting Log in to save

The Director of Software Engineering at JPMorgan Chase within Card Services leads a technical area, driving complex projects and initiatives across departments. This role involves setting direction for AI-enabled engineering practices and SDLC/TLM automation to enhance speed, quality, and operational outcomes while ensuring validation, security, and resiliency. Key responsibilities include managing resources and budgets, delivering scalable technical solutions, and influencing senior stakeholders. The ideal candidate has experience leading cross-functional teams in adopting agentic AI tools and understands responsible AI use, data sensitivity, and governance. Expertise in Computer Science or related fields is essential, along with proficiency in the Software Development Life Cycle toolchain and enterprise-authorized AI-assisted development capabilities.

Skills

AI-orchestrated delivery workflows SDLC/TLM automation agentic AI-enabled engineering responsible AI use human-in-the-loop validation quality gates secure handling of sensitive data data sensitivity resiliency/security implications CI/CD Python Java JavaScript PostgreSQL Kubernetes AWS Terraform

What you'll do

Sets direction and governance for AI-enabled engineering practices to improve speed, quality, and operational outcomes.
Applies knowledge of SDLC toolchain and automation capabilities to enhance value realization and support capacity initiatives.
Carries accountability for coding decisions, control obligations, and measures of success such as cost of ownership and maintainability.
Leads adoption of agentic AI-enabled engineering practices across teams with secure handling of sensitive data.
Influences leaders on responsible AI use, ensuring governance, security, and resiliency in engineering workflows.

What we're looking for

Leads technology implementations and sets direction for AI-enabled engineering practices.
Applies knowledge of SDLC toolchain to improve automation and support capacity initiatives.
Carries governance accountability for coding decisions, control obligations, and measures of success.
Influences peer leaders and stakeholders on technical solutions and complex projects.
Experience leading adoption of agentic AI-enabled engineering practices across teams.

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