JPMorgan Senior Lead Software Engineer - AWS Payments 

United States, Florida, Tampa 

498510515

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Ensures teams develop secure and high-quality production code, and reviews and debugs solutions written by others
• Works collaboratively across teams to design, develop, test, and release solutions
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in operational tooling and observability
• Actively contributes to the engineering community as an advocate of organization-wide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on AWS concepts and 5+ years applied experience
• Experience delivering system design, application development, testing, and operational stability
• Ability to tackle design and functionality problems independently with little to no oversight
• Hands-on experience with cloud platforms such as Pivotal Cloud Foundry, AWS, and container technologies such as Docker and Kubernetes
• Practical AWS cloud native experience (EKS, ECS, Lambda, Glue, API Gateway, infrastructure and security)
• Experience in event driven (Kafka, MSK), Microservices, and RESTful architecture
• Experience with variety of data and persistence technologies such as SQL, No-SQL, and caching platforms
• Hands-on development and programming experience on the Java 8+/Java EE stack including functional and reactive development models, hands on experience on the latest Spring & Spring Boot Framework
• Proficient in automation and continuous delivery methods, familiarity with CI/CD tools

• Working with and analyzing large datasets, designing and solutioning with resiliency and security considerations
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field