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# Director of Software Engineering

- **Company:** JPMorgan Chase & Co.
- **Location:** Fairfax, DE, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Cloud Engineering, Computer Engineering, Systems Development Life Cycle, Software Engineering, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_b76e319d5eb8b685f656c1c402ec824e

## About the Role

* Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
 * Experience developing or leading cross-functional teams of technologists
 * Experience with hiring, developing, and recognizing talent
 * Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
 * Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
 * Practical cloud native experience
 * Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

## Description

* Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
 * Directly manages multiple areas with strategic transactional focus
 * Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
 * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
 * Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
 * Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
 * Manages multiple stakeholders, complex projects, and large cross-product collaborations
 * Influences peer leaders and senior stakeholders across the business, product, and technology teams