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

• *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 Chief technology Office 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*** 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

• *ABOUT US**