Senior Manager of Software Engineering- Java Springboot React with AWS/ Azure

JP Morgan Chase Bank

Bengaluru

On-site

INR 3,500,000 - 5,500,000

Full time

6 days ago
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Job summary

JPMorganChase in Bengaluru seeks a Senior Manager of Software Engineering to lead multiple Java Springboot/React teams on cloud-native projects. You will coach engineers, define delivery expectations, and drive AI-assisted development with secure handling of data.

You will guide adoption of SDLC automation, collaborate with global stakeholders, and ensure compliance with financial services IT standards. Strong cloud experience with AWS is required.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience managing technologists.
  • Experience leading enterprise AI-assisted development and delivery tools across engineering teams, including defining ways of working, 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.
  • Proficient in all aspects of the Software Development Life Cycle
  • 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 (AWS)

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

Coaching/mentoring
Tech leadership
AI-assisted development
Secure data handling
CI/CD
SDLC
Agile methodologies
Data governance
Cloud-native
AWS expertise

Tools

AWS
Azure

Job description

Senior Manager of Software Engineering- Java Springboot React with AWS/ Azure
Job Information
  • Job Identification 210791815
  • Job Category Software Engineering
  • Business Unit Corporate Sector
  • Posting Date 11/04/2026, 01:27 PM
  • Locations Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN
  • Apply Before 11/11/2026, 05:00 AM
  • Job Schedule Full time
  • Job Shift Day
Job Description

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 Employee Platforms 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

  • 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 managing technologists
  • 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.
  • Proficient in all aspects of the Software Development Life Cycle
  • 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 (AWS)

Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Leading Full stack enterprise grade applications and teams ( Java as backend, Frontend as React or similar, Cloud as hosting platform)
  • Experience working with global stakeholders
  • Leading AI transformation journey within team
  • Domain understanding of Agentic workflows - MCP, Agents, workflows
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