Lead Software Engineer – Backend; Java or Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Customer Acquisition and Marketing Platforms team, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market‑leading technology products that are secure, stable, and scalable.

• Provide direction, oversight, and coaching for a team of entry‑level to mid‑level engineers working on basic to moderately complex tasks
• Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Work in an Agile development environment with team members, including Product Owners
• Develop secure, high‑quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations
• Ensure quality and completeness of the product through unit, component, integration, and end‑to‑end testing
• Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end‑to‑end development life cycle
• Influence peers and project decision makers to consider the use and application of leading‑edge technologies

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 5+ years of hands‑on experience in Java, REST services, Spring and Spring Boot
• 2+ years of hands‑on experience with AWS especially Terraform, EKS, ECS, and Lambda
• 2+ years of hands‑on experience with databases (MySQL, Postgre
  
  SQL, Cassandra)
• Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight
• 5+ years of demonstrated coaching and mentoring experience
• Hands‑on practical experience delivering system design, application development, testing, and operation stability
• Understand next generation messaging and streaming technologies such as Kafka
• Above average database fundamentals – can write complex queries, understands how to organize data, and troubleshoot performance issues
• Excellent problem solving and analytical skills with strong customer focus
• Strong verbal and written communication skills

• Strong Python experience, especially in the context of developing Agentic and Data solutions for large financial platforms.
• Experience with Agentic technologies (esp. Lang Chain), including design and implementation of production‑grade solutions.
• Experience using Snowflake, Databricks or a similar PaaS offering.
• Familiarity with Graph databases