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Manager of Software Engineering - Java, Python, Databases, AI

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 15 days ago

No clicks

**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

Currency: 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 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
 
Required qualifications, capabilities, and skills
  • 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
 
Preferred qualifications, capabilities, and skills
  • Hands on experience in Full stack Development
  • Knowledge of the financial services industry and their IT systems preferred.
  • Practical cloud native experience
 
Lead multiple teams, manage day-to-day implementation activities, and set overall guidance for team output, practices and collaboration

Manager of Software Engineering - Java, Python, Databases, AI

Compensation

Not specified

City: Bengaluru

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

15 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**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.

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 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
 
Required qualifications, capabilities, and skills
  • 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
 
Preferred qualifications, capabilities, and skills
  • Hands on experience in Full stack Development
  • Knowledge of the financial services industry and their IT systems preferred.
  • Practical cloud native experience
 
Lead multiple teams, manage day-to-day implementation activities, and set overall guidance for team output, practices and collaboration