As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Technology, you will serve in a leadership role by providing technical coaching and advisory for multiple agile technical teams. You will anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights will influence budget and technical designs to advance operational efficiencies and functionalities.

 

Job Responsibilities

Provide overall direction, oversight, and coaching for a team of entry-level to senior-level software engineers. Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures. Ensure successful collaboration across agile teams, product and stakeholders. Identify and mitigate issues to execute a book of work while escalating issues as necessary. Be accountable to build and evolve the application in accordance with the architectural roadmap. Be accountable to design new architectural patterns that can be reused across Capital. Provide input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team. Create a culture of diversity, equity, inclusion, and respect for team members, prioritizing diverse representation.

Required Qualifications, Capabilities, and Skills

Experience leading large feature teams of software engineers to deliver intensive data driven applications. Ability to guide and coach teams on approaches to achieve goals aligned with strategic initiatives. In-depth knowledge of agile practices and delivering agile programs. In-depth knowledge of the financial industry and their IT systems. In-depth knowledge and experience in at least Java, Python, Databricks, AWS/Azure. Experience with hiring, developing, and recognizing talent.

 

Preferred Qualifications, Capabilities, and Skills

Deep knowledge of design, analytics, development, coding, testing and application programming to deliver data driven application. Strong expertise in building distributed applications using the core Java Spring framework. Strong expertise in building RESTful micro-services using Spring Boot applications. Strong expertise in cloud-native development with AWS/Azure. Strong expertise in Python and Databricks Strong expertise in Data Engineering and knowledge of Data  Mesh architecture. Experience working at the code level (preferred). Experience working with large datasets, data warehouses and data modelling(preferred). Experience building AI models and using LLM to enhance software engineering teams’ capability. Comprehensive knowledge of the Software Development Life Cycle with a solid understanding of agile methodologies such as CI/CD. Experience in Computer Science, Engineering, Mathematics, or a related field with deep expertise in technology disciplines.