Sr Director of Software Engineering Equity Derivatives Technology

JPMorgan Chase & Co.; New York (NY); On-site; USD 210,000 - 300,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking a Senior Director of Software Engineering within Equity Derivatives Technology. You will lead multiple technical areas, manage departments, and collaborate across domains to push innovative engineering practices.

The role emphasizes agentic AI-enabled delivery, SDLC automation, governance, and cross‑product initiatives, with interaction across senior stakeholders and executives.

Qualifications

• Formal training or certification in software engineering.
• 10+ years of applied software engineering experience.
• 5+ years leading technologists to scale complex items.
• Experience hiring, developing, and recognizing talent.
• Extensive cloud-native experience.

Responsibilities

• 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 to drive firmwide objectives
• Applies knowledge of SDLC toolchains to drive cross-domain reuse and capacity unlocks
• Provides leadership to teams across platforms, divisions, and lines of business
• Acts as interface with senior leaders, driving consensus across objectives
• Manages stakeholders, complex projects, and large cross-product collaborations
• Influences senior leaders across business, product, and technology teams

Skills

Software engineering

Technical leadership

AI governance

Cloud native

Cross functional

Tools

AI-assisted tooling

Job description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.

As a Senior Director of Software Engineering at JPMorganChase within the Equity Derivatives Technology you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

Job responsibilities

• 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

Required qualifications, capabilities, and skills

• A. 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


• Experience developing or leading large or cross-functional teams of technologists


• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale


• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.


• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.


• Experience leading complex projects supporting system design, testing, and operational stability


• Experience with hiring, developing, and recognizing talent


• Extensive practical cloud native experience

Preferred qualifications, capabilities, and skills

• Understanding of Equity Derivative products


• Strong technical skill in object-based databases and experience development in Java, python or C++