JPMorgan Lead Software Engineer - Java/AWS 

United States, Delaware, Wilmington 

332260027

Job responsibilities

• Learn about and understand our supported businesses in order to drive practical and successful solution
• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Add 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) - Java, Springboot, Microservices, APs etc.
• Proficient in AWS technologies including but not limited to S3, Glue, ECS, EKS, Lambda, SQS, SNS
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Strong end-to-end development skills including testing
• 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, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

• Public cloud technologies
• Experience with Python