JPMorgan Lead Software Engineer - Java Full Stack 

India, Karnataka, Bengaluru 

427922920

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven experience in full-stack software development, specifically with Java 11+ and Angular 13+.
• Hands-on practical experience delivering system design, application development, testing, and operational stability. Strong knowledge of software engineering principles, design patterns, and best practices.
• Strong background in working with APIs (especially Open API), ensuring efficient communication and integration between different systems.
• Proven record of providing end-user support with excellent problem-solving abilities. Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the 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