
at J.P. Morgan
Bulge Bracket Investment BanksPosted 15 days ago
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**Manager of Software Engineering - Java, Python, Databases, AI** Lead multiple teams, driving software development, quality, and compliance at JPMorgan Chase. Manage day-to-day tasks, identify issues, and ensure adherence to standards. Develop, debug, and review high-quality code in Java and Python. Implement AI-assisted engineering practices, automate SDLC/TLM, and improve delivery speed and quality. Collaborate with vendors and teams to evaluate architectural designs. Requires 5+ years experience, programming proficiency in Java/Python, Software Development Life Cycle understanding, and AI responsibility training.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
As a Manager of Software Engineering at JPMorganChase within the Chief technology Office 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) like Java, Python
- 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
- Hands on experience in Full stack Development
- Knowledge of the financial services industry and their IT systems preferred.
- Practical cloud native experience




