Senior Manager of Software Engineering

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking line of business, you are an integral member of an agile team responsible for enhancing, building, and delivering trusted, market‑leading technology products in a secure, stable, and scalable manner. You promote significant business impact by leveraging deep technical expertise and structured problem‑solving approaches to address a wide range of complex challenges across multiple technologies, platforms, and applications.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Design and Drive strategies around Microservices adoption at enterprise level and act as a subject matter expert on Microservices best practices
• Participate in the development function for the platform that includes multiple internal web applications, middleware services supporting external facing mobile and web applications, batch programs and databases
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• 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

Required qualifications, capabilities, and skills

• Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, or related field of study plus 7 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation to manage and solve complex technical items within your domain of expertise
• Hands-on development experience in Java, J2EE, Spring Framework, Spring-boot, JMS. Knowledge of Rest API services, json, swagger etc.
• Experience working with tools like Terraform to provision AWS cloud services
• Experience leading teams of technologists
• Cloud Platform including Pivotal Cloud foundry; NoSql; DataBase including Cassandra; messaging technology including Kafka; and Scripting language including JavaScript and REACT
• Monitor production processes to ensure timely run based on support schedule; troubleshoot and resolve in case of issues.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Good understanding of application, data, and object-oriented programming disciplines and knowledge of industry-wide technology trends and best practices
• Experience with hiring, developing, and recognizing talent
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Experience working at code level
• Strong soft skills, including presenting, negotiating, mentorship, and stakeholder management.