Senior Director of Software Engineering - Equity Plan Services Platform Team

Senior Director Of Software Engineering

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 JPMorgan

Chase within the Asset & Wealth Management, Equity Plan Services Platform Team, 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.

We are looking for a deeply technical, hands-on Senior Director of Software Engineering to lead and work shoulder-to-shoulder with our engineering team on the Equity Plan Services platform — a high-throughput, regulated financial system handling trade execution, RSU/ESPP release processing, cash movement orchestration, and client reporting  will write code, design distributed systems, own production reliability, and drive architecture decisions across the stack — from Spring Boot microservices and Kafka event pipelines to AWS-native infrastructure and SQL/No

SQL data layers. Equally important is your ability to communicate with precision: working directly with Business, Trading, and Operations teams to translate requirements into engineering solutions and explain technical trade-offs without losing the room.

• Directly manages multiple engineering domains with a strategic focus on microservices and cloud infrastructure.
• Sets and scales multi-department strategy for event-driven system design and cloud architecture using enterprise-authorized tools.
• Establishes standards for microservices architecture, cloud deployment strategies, and automated testing.
• Applies knowledge of cloud and infrastructure tools to drive cross-domain integration.
• Utilizes enterprise-authorized automation capabilities for measurable performance improvements.
• Provides leadership and high-level direction to engineering teams across multiple platforms.
• Oversees operations across various business lines, ensuring alignment with strategic goals.
• Acts as the primary interface with senior leaders and stakeholders, driving consensus across technical objectives.
• 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.
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

• 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 large or cross-functional teams of technologists
• Expert-level backend engineering in Java (Spring Boot, Spring Integration, Hibernate/JPA) and/or Python; strong SQL and data modeling across relational and No
  
  SQL systems.
• Deep AWS experience: ECS/EKS, Lambda, Aurora, DynamoDB, S3, Glue, Cloud Watch — able to design, deploy, and operate cloud-native systems end-to-end.
• Hands-on Apache Kafka experience: topic design, consumer group management, exactly-once delivery, and stream processing patterns.
• Solid grasp of distributed systems fundamentals: consistency models, CAP trade-offs, idempotency, distributed…