When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. 

As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Technology divisionyou serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations 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 Lead and mentor a team of software engineers, providing guidance and support to ensure high performance and professional growth. 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. Stay informed about emerging technologies and industry trends to drive innovation in technology.

 

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise 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, Cloud platforms, Data platforms technologies like data bricks Good knowledge on public cloud, data pipelines, messaging frameworks. Realtime messaging framework implementations e.g. SNS, Kafka 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,  RESTful micro-services using Spring Boot applications. Strong expertise in Data Engineering and knowledge of Data  Mesh architecture and Databricks. Development experience on private cloud, AWS public cloud (EC2, S3, RDS, Lambda,  EMR, Step functions, Glue), ETLs and Data Pipeline

Preferred qualifications, capabilities, and skills

Experience with hiring, developing, and recognizing talent. Experience working with large datasets, data warehouses and data modelling(preferred). Comprehensive knowledge of the Software Development Life Cycle with a solid understanding of agile methodologies such as CI