Software Engineering Manager - Java Full Stack & AI/ML

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 5,500,000; Full time

Job summary

JP Morgan Services India Pvt Ltd is seeking a Manager of Software Engineering - Java Full Stack to lead multiple teams in delivering AI/ML enabled financial software. The role focuses on guiding daily engineering work, setting team expectations, and advancing enterprise-grade automation within secure, compliant SDLC practices.

You will drive adoption of AI-assisted development tools, manage dependencies across units, and mentor technologists while ensuring delivery meets business and regulatory

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Coaching and mentoring experience.
• Experience leading technology projects.
• Experience managing technologists.
• Proficient in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Experience with Full Stack Java and Data Engineering, AI/ML.
• Advanced understanding of agile methodologies including CI/CD, resilience, and security.
• In-depth knowledge of the financial services industry and IT systems.
• Practical cloud native experience.
• Experience leading responsible adoption of AI-assisted development tools and governance.
• Understanding of responsible AI use in engineering workflows.

Responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• 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
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements

Skills

Team leadership

Coaching/mentoring

Technology project leadership

Managing technologists

Automation & CD

SDLC & Security

Full Stack Java

AI/ML data engineering

Cloud native

Responsible AI governance

Tools

CI/CD tools

Jenkins

Docker

Job description

Manager of Software Engineering - Java Full Stack, AI/ML 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 JPMorgan Chase within the Commercial & Investment Bank, Payments Technology, 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

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• 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
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• In addition, demonstrated coaching and mentoring experience
• Experience leading technology projects
• Experience managing technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Experience with Full Stack Java project and good understanding of Data Engineering , AI/ML
• Advanced understanding of 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
• 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

• Experience working at code level, people management
• Experience Level Mid Level