Director of Software Engineering - Secure Web Platform

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Director of Software Engineering for the Secure Web Platform within the Digital Channels team in Columbus. You will lead a technical area, drive impact across departments, and act as a primary decision maker for your teams and projects.

You will shape strategies for agentic AI-enabled engineering, governance, and scalable delivery, while emphasizing security, resiliency, and measurable outcomes across the SDLC toolchain.

Qualifications

• Formal training or certification on software engineering concepts with 10+ years of applied experience.
• 5+ years of experience leading technologists to manage complex technical items.

Responsibilities

• Leads technology and process implementations to achieve functional technology objectives.
• Accountable for decisions influencing resources, budget, and tactical operations.
• Sets direction and governance for AI-enabled engineering and SDLC automation to drive improvements in speed, quality, and outcomes.
• Applies knowledge of SDLC tools including AI-assisted development to improve automation value.
• Governance accountability for coding decisions, cost of ownership, and portfolio operations.
• Delivers technical solutions that can be reused across businesses and domains.

Skills

Leadership

Cross-functional leadership

Cloud native

AI-enabled engineering

SDLC

Governance

Security

Resiliency

Education

Bachelor's degree in Computer Science or related field

Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering - Secure Web Platform at JPMorganChase within the Digital Channels team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job Responsibilities

• 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

Required qualifications, capabilities, and skills

• 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