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Manager of Software Engineering - API Marketplace

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**Manage & Mentor Software Engineering Teams in API Marketplace.** Lead multiple software engineers, coach AI usage, ensure compliance & delivery. 5+ years' software engineering experience, 2+ years leading teams. Proficient in Java, Spring Boot, cloud native, and financial services IT. Manage SDLC, CI/CD, and stakeholder relationships.

Compensation
Not specified USD

Currency: $ (USD)

City
Not specified
Country
United States

Full Job Description

Location: Wilmington, DE, United States

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

As a Manager of Software Engineering at JPMorganChase within Consumer and Community Banking - API Marketplace , you manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards, business requirements, and tactical best practices.
 

Job responsibilities

  • Provides guidance to immediate team of software engineers on daily tasks and activities
  • Coach and mentor engineers on the team on practical uses of AI, and how to responsibly use tools (agents, skills, models) available to them
  • Sets the overall guidance and expectations for team output, practices, and collaboration
  • Anticipates dependencies with other teams to deliver products and applications in line with business requirements
  • Manages stakeholder relationships and the teams work in accordance with compliance standards, service level agreements, and business requirements
  • Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation.
  • 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.
     

Required qualifications, capabilities, and skills

  • Formal training or certification on 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 multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines.

  • Proficient in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle.
  • Experience in agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience. 
  • Deep expertise in core Java, Spring Boot, J2EE, messaging systems (MQ), Oracle, Postgres, Kafka and Apache Iceberg.
  • Proven experience in designing distributed applications and implementing Agile methodologies.
  • Experience with Selenium for test automation. Demonstrated ability to debug complex systems and drive technical discussions independently.
  • 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.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
  •  

    Preferred qualifications, capabilities, and skills

    • Preferred working at code level
    • Preferred  building skills, and agent tooling for AI workstreams
    • Exposure to full software development lifecycle in large-scale systems, preferably within the financial industry.
    Manager of Software Engineering - API Marketplace

    Manager of Software Engineering - API Marketplace

    Compensation

    Not specified USD

    City: Not specified

    Country: United States

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    4 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Manage & Mentor Software Engineering Teams in API Marketplace.** Lead multiple software engineers, coach AI usage, ensure compliance & delivery. 5+ years' software engineering experience, 2+ years leading teams. Proficient in Java, Spring Boot, cloud native, and financial services IT. Manage SDLC, CI/CD, and stakeholder relationships.

    Full Job Description

    Location: Wilmington, DE, United States

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

    As a Manager of Software Engineering at JPMorganChase within Consumer and Community Banking - API Marketplace , you manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards, business requirements, and tactical best practices.
     

    Job responsibilities

    • Provides guidance to immediate team of software engineers on daily tasks and activities
    • Coach and mentor engineers on the team on practical uses of AI, and how to responsibly use tools (agents, skills, models) available to them
    • Sets the overall guidance and expectations for team output, practices, and collaboration
    • Anticipates dependencies with other teams to deliver products and applications in line with business requirements
    • Manages stakeholder relationships and the teams work in accordance with compliance standards, service level agreements, and business requirements
    • Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation.
    • 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.
       

    Required qualifications, capabilities, and skills

  • Formal training or certification on 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 multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines.

  • Proficient in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle.
  • Experience in agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience. 
  • Deep expertise in core Java, Spring Boot, J2EE, messaging systems (MQ), Oracle, Postgres, Kafka and Apache Iceberg.
  • Proven experience in designing distributed applications and implementing Agile methodologies.
  • Experience with Selenium for test automation. Demonstrated ability to debug complex systems and drive technical discussions independently.
  • 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.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
  •  

    Preferred qualifications, capabilities, and skills

    • Preferred working at code level
    • Preferred  building skills, and agent tooling for AI workstreams
    • Exposure to full software development lifecycle in large-scale systems, preferably within the financial industry.
    Manager of Software Engineering - API Marketplace