Location: Bengaluru, Karnataka, India

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.  

 

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.  

 

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 
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. 
• 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. 
• 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 
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies 

 

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) (Python as a must) 
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. 
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 
•  Strong Analytical and problem-solving skills. Solid technology background with experience in object-oriented programming. 
• Proficiency in automation and continuous delivery methods 
• Proficient in all aspects of Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security 
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) 
• In-depth knowledge of the financial services industry and their IT systems . Practical cloud native experience 

 

Preferred qualifications, capabilities, and skills 

• Preferred UI Skills - Reactjs, Nodejs, Microservices 
• Macro Trading Business knowledge. 
• In-depth knowledge of the financial services industry and their IT systems 
• Knowledge of AWS Data Source 
• Distributed computing, Data modeling, Performance engineering, regression testing 

 

 

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team