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# Director of Software Engineering - Secure Web Platform

- **Company:** JPMorgan Chase & Co.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Cloud Engineering, Computer Engineering, Systems Development Life Cycle, Web Application Security, Software Engineering, Information Technology
- **Published:** July 17, 2026
- **Apply:** https://dejobs.org/x/x/1D6F3396878D44C684D93B1F8F1981C3/job/

## 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 technology and process implementations to achieve functional technology objectives
 * Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
 * Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
 * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
 * Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
 * Delivers technical solutions that can be leveraged across multiple businesses and domains
 * Influences peer leaders and senior stakeholders across the business, product, and technology teams


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