Manager Of Software Engineering - Java FullStack AWS

JP Morgan Chase; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Manager of Software Engineering to lead multiple teams within Consumer and Community Banking. You will guide day-to-day implementation activities, ensure compliance with business requirements, and drive delivery through best practices.

You will champion secure, scalable web applications using React.js, Java/Spring Boot, RESTful APIs and AWS cloud services. The role emphasizes AI-assisted engineering adoption, governance, and collaboration across stakeholders to

Qualifications

• Formal training or certification in software engineering concepts.
• Over 10 years of hands-on software engineering experience.
• Experience coaching and mentoring teams.

Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks.
• Sets overall guidance and expectations for team output, practices, and collaboration.
• Leads adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation to improve delivery speed, quality, and operational outcomes.
• Applies knowledge of tools within the SDLC toolchain to improve automation value.
• Anticipates dependencies with other teams to deliver products and applications per business requirements.
• Manages stakeholder relationships and the team’s work in compliance with SLAs and business requirements.

Skills

Leadership

Coaching

Stakeholder management

AI-assisted engineering

SDLC/DevOps

Agile methodologies

Security governance

Compliance

Education

Formal software engineering cert/training

10+ years applied experience

Tools

React.js

Java/Java ecosystem

Spring Boot

RESTful APIs

AWS cloud services

AWS Glue

CI/CD pipelines

Security in cloud

Job description

Job Description:

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking, 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 10+ years applied experience. In addition, demonstrated coaching and mentoring experience
• Experience leading technology projects and managing technologists
• Strong hands-on experience developing modern web applications using React.js, JavaScript/TypeScript, HTML5, and CSS.
• Extensive experience building scalable enterprise applications using Java and related frameworks such as Spring Boot and RESTful APIs.
• Proven expertise with AWS cloud services, including application deployment, monitoring, security, and cloud-native architecture design
• 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
• Experience working with AWS Glue for data integration, ETL processing, and large-scale data transformation workflows
• 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

Preferred qualifications, capabilities, and skills

• AWS Certification (Solutions Architect, Developer, or equivalent)
• Exposure to cloud technologies

Requirements: