Senior Manager of Software Engineering

Promote teams to advance financial technology and artificial intelligence, mentoring others while delivering bold, innovative solutions.

As a Senior Manager of Software Engineering at JPMorgan Chase within Consumer & Community Banking – Cash and Check Management Tech Team, you serve in a leadership role, providing technical coaching and advisory while anticipating the needs and potential dependencies of other functions across the firm. Cash and Check Management Product delivers technology, process , and controls to support our customers and clients seamlessly across these distinct money movement mechanisms. We are modernizing end-to-end processing in AWS using micro frontend and microservice architecture, and we are committed to our transformation journey – building innovative, scalable, AI-enabled solutions that are best-in-class. We are passionate about the future of technology and our ability to always deliver excellence. Job Responsibilities Own the technical integrity and quality of the team's delivery, partnering with Architects on design and with the team on breaking down and estimating complex work Ensure development quality is tracked and continuously improved through practices like unit testing, peer review, and automated remediation of recurring issues Mentor team members to progress their technical and professional skills, and build a team culture of diversity, opportunity, inclusion, and respect Partner with product and business leaders, aligning roadmaps and securing cross-functional buy-in with clear data and trade-offs; frame complex technology and risk topics as business impact for executive audiences Lead cross-team delivery and change through ambiguity, resolving conflict and raising engineering standards for design, reliability, and security Build and integrate agentic AI capabilities, including autonomous agents, workflow automation, and AI-driven decision-making, into CCB products and platforms Champion an AI-First mindset for the team – proactively leveraging AI and automation tools not only for software delivery, but for day-to-day work such as documentation, status reporting, meeting preparation, research, and communications – to increase individual and team productivity Required Qualifications, Capabilities and Skills Overall 10+ years of experience, including 5+ years of hands-on development experience in microservices development, UI development, and people management Hands-on development experience working with core enterprise-based Java technologies, Spring/Spring Boot, and event-based microservices in an AWS/Cloud environment Experience with distributed systems and cloud technologies (AWS, GCP, Azure), microservices/RESTful APIs, relational/NoSQL databases, and data modeling Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.) and containerization (Docker, Kubernetes, Helm) Demonstrated track record of mentoring engineers on technical growth and on the responsible, effective use of AI-assisted development and agentic tooling, fostering quality, psychological safety, and continuous improvement Proven team leadership and hands-on experience in applying AI-assisted development and agentic AI/automation tools to accelerate delivery and streamline day-to-day work (planning, documentation, research, communications), reflecting a demonstrated AI-First mindset Strong experience in influencing and stakeholder management, with executive-level communication skills to align roadmaps, secure cross-functional buy-in, and translate complex technology and risk topics into business impact Preferred Qualifications, Capabilities, and Skills Cloud certification and practical cloud-native experience Expertise across application, data, and infrastructure architecture disciplines, with proficiency in multiple modern programming languages and awareness of industry-wide technology trends In-depth knowledge of the financial services industry and its IT systems Experience designing and implementing automation frameworks for CI/CD, including performance testing integration across development, QA, and operations Demonstrated ownership of high-availability, high-throughput systems with clear SLOs/SLIs and cost stewardship Track record leading modernization programs (e.g., monolith-to-microservices or cloud migrations) in regulated environments