Lead Software Engineer - Java, AWS

Description

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 with a focus on security, stability, and scalability.

Job responsibilities

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

Required qualifications, capabilities, and skills

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, PostgreSQL, 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

Preferred qualifications, capabilities, and skills

Strong Python experience, especially in the context of developing Agentic and Data solutions for large financial platforms.

Experience with Agentic technologies (esp. LangChain), including design and implementation of production-grade solutions.

Experience using Snowflake, Databricks or a similar PaaS offering.

Familiarity with Graph databases.