Senior Lead Software Engineer - Distributed Payments

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Payments Technology group, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your expertise and contributions will promote significant business impact, as you apply your deep technical knowledge and problem-solving skills to address a wide range of challenges across various technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide 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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Extensive hands-on expertise in Microservices and RESTful web services development using Java (Spring Boot or similar frameworks).
• Deep knowledge of Cloud Native Architecture (including AWS), Microservice Architecture, related technology stacks, and container technologies (Docker, Kubernetes, etc.).
• Proficiency in Java, Spring Boot, Microservices, Oracle, Splunk.
• Proven experience in designing, developing, and deploying AI-driven solutions, including the integration of machine learning models into enterprise applications.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

• Demonstrated expertise in the design, development, testing, deployment, and support of large-scale, high-throughput, mission-critical payments applications.

   

• Experience leveraging AI for process automation, software development lifecycle (SDLC), or enhancing application functionality is highly preferred.
• Proficiency in React JS, SRE/DevOps, and AI/ML frameworks