JPMorgan Lead Software Engineer AI/ML/AWS 

United States, Delaware, Wilmington 

297118809

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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Lead the design and implementation of scalable, high-performance Java microservices and AWS Serverless applications.
• Architect and develop solutions using AWS services such as Lambda, Step Functions, API Gateway, DynamoDB, and more.
• Collaborate with cross-functional teams to define, design, and deliver new features and enhancements.
• Ensure the adoption of best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD).
• Mentor and guide junior engineers, fostering a culture of learning and innovation.
• Troubleshoot and resolve complex technical issues, ensuring high availability and reliability of applications.
• Stay up-to-date with emerging technologies and industry trends, and apply them to improve existing systems and processes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive experience with AWS Serverless technologies, including Lambda and Step Functions.
• Excellent knowledge of software development and testing practices, including TDD, BDD, and automated testing and continuous delivery frameworks and methods.
• Proven track record of leading and delivering complex software projects on time and within budget.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.
• Experience with Agile/Scrum methodologies
• 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

• Experience with Agentic AI technologies and frameworks.
• Familiarity with AI-driven decision-making processes and autonomous systems.
• Ability to integrate AI solutions into existing software architectures.