Sr Manager of Software Engineering - Java

JPMorgan Chase & Co. • Columbus, OH

3d

About The Position

As a Senior Manager of Software Engineering within JPMorganChase’s Infrastructure Platform, Managed File Transfer organization, you will lead and advise multiple technical teams responsible for mission-critical file movement at scale. You will provide technical coaching, anticipate cross-functional needs and dependencies, and use your expertise to influence budget and technical decisions that improve operational efficiency and functionality. The role oversees entry-level to mid-level software engineers and includes accountability for team resources, budget, tactical operations, and the execution of processes and procedures.

You will establish and scale enterprise-authorized AI-assisted engineering and SDLC/TLM automation practices across teams. This includes setting measurable delivery and quality expectations, ensuring validation, security, resiliency, and reuse of proven patterns, and coaching teams and leaders on responsible AI use and safe scaling. The position also calls for extensive Java full-stack expertise, technical leadership, cross-team collaboration, and talent development.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• At least 2 years of experience leading technologists to manage and solve complex technical items within the area of expertise.
• At least 10 years of Java full-stack development experience, including at least 3 years of proven technical leadership.
• Expert-level proficiency in RESTful API design and implementation, Java 11 or later, Spring Boot, Spring Framework, and Hibernate/JPA.
• Strong front-end development skills in React.
• Solid understanding of relational databases, including PostgreSQL, MySQL, and Oracle.
• Experience with cloud platforms such as AWS, Azure, or GCP, and containerization technologies such as Docker and Kubernetes.
• Ability to guide and coach teams toward goals aligned with strategic initiatives.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working, human-in-the-loop validation, quality gates, measuring outcomes, and secure handling of sensitive inputs and outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency and security implications, and control expectations.
• Experience hiring, developing, and recognizing talent.
• In-depth knowledge of the services industry and its IT systems.

Nice To Haves

• Demonstrated ability to balance hands-on technical work with leadership responsibilities.
• Proven track record of delivering complex projects on time and within scope.
• Excellent communication, presentation, and interpersonal skills.
• Practical cloud-native experience.
• Experience working at code level.

Responsibilities

• Provide overall direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks.
• Make decisions influencing team resources, budget, tactical operations, and execution and implementation of processes and procedures.
• Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams.
• Establish measurable expectations such as throughput, defect reduction, and reliability, and ensure consistent validation, security, resiliency, and reuse of proven patterns.
• Apply Software Development Life Cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve efficiency and support capacity-unlock initiatives, prioritizing reuse of existing firm technology assets.
• Ensure successful collaboration across teams and stakeholders.
• Identify and mitigate issues affecting execution of the book of work, escalating issues as necessary.
• Provide leadership with input regarding budget, approach, and technical considerations to improve operational efficiencies and team functionality.
• Guide and coach teams on approaches aligned with strategic initiatives.
• Lead hiring, development, and recognition of talent.
• Coach managers and leads on responsible AI use and safe scaling patterns, and influence leaders on those practices.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Competitive total rewards package, with eligible roles potentially receiving commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed