Bulge Bracket Investment Banks

Posted 6 days ago

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**"Lead and mentor multiple software engineering teams as the Senior Manager at JPMorganChase. Guiding day-to-day tasks and setting tactical best practices, ensure teams adhere to compliance standards, business requirements, and enterprise-authorized AI-assisted practices. Manage stakeholder relations, dependencies, and SLAs. Required: 5+ years' experience, knowledge of AI Ethics, proficiency in SDLC, and proven coaching skills. Preferred: enterprise-grade application leadership, global stakeholder experience, and domain understanding of agentic workflows."**

Compensation: Not specified
City: Bengaluru
Country: India

Full Job Description

Location: Bengaluru, Karnataka, India

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 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
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 teams 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

Lead multiple teams, manage day-to-day implementation activities, and set overall guidance for team output, practices and collaboration

Full Job Description

Location: Bengaluru, Karnataka, India

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 teams 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

Lead multiple teams, manage day-to-day implementation activities, and set overall guidance for team output, practices and collaboration

Senior Manager of Software Engineering

Full Job Description

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