Senior Manager of Software Engineering

Aumni

Bengaluru

On-site

INR 3,000,000 - 6,000,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Manager of Software Engineering within the Employee Platforms team in Bengaluru. You will lead multiple teams, set guidance for output and collaboration, and drive AI-assisted development practices across the SDLC to enhance delivery speed and quality.

You will ensure secure handling of data and adherence to compliance standards while coordinating with stakeholders and other teams to meet business requirements.

Qualifications

  • Formal training or certification on software engineering concepts.
  • Experience managing technologists.
  • Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity and governance.

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.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
  • 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
Leadership of technologists
AI-assisted development
Secure data handling
SDLC knowledge
CI/CD & chaos resilience
Financial services domain knowledge
AWS cloud native

Education

Formal training or certification on software engineering concepts

Tools

AWS

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

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

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