What are the responsibilities and job description for the Manager of Software Engineering - Java and Kafka position at JPMorgan Chase?
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking's technology team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.
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
- Ensures successful collaboration across teams and stakeholders
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- 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 and support capacity unlock initiatives.
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 5 years applied experience.
- Hands-on development experience in Java, J2EE, Spring Framework, JMS. Knowledge of Rest API services, json, swagger etc.
- Experience working with tools like Terraform to provision AWS cloud services
- Experience with AWS Glue, AWS Athena, and AWS S3
- Experience with Kafka and Cassandra (data modeling, performance, operational considerations) or similar distributed NoSQL stores is required .
- Experience with hiring, developing, and recognizing talent and leading teams of technologists
- Knowledge of agile processes and test-promotion development
- Experience monitoring 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
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
- Good understanding of application, data, and object-oriented programming disciplines and knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
- Strong soft skills, including presenting, negotiating, mentorship, and stakeholder management.