Lead Software Engineer - Reference Data Engineering

Build trusted, secure, real-time reference data platforms for JPMorganChase’s Corporate Sector Reference Data Engineering group. This onsite Chicago role focuses on designing and delivering scalable data infrastructure using a modern data mesh architecture, with Java and Spring Boot microservices plus event-driven streaming on AWS, Databricks, and on-prem environments. You will also help advance AI-assisted engineering practices and elevate validation standards across the team.

What you’ll do

• Lead end-to-end delivery for assigned features, including requirements, design, implementation, testing, deployment, and monitoring
• Design and develop Java/Spring Boot microservices to support real-time data product delivery and platform capabilities
• Own technical execution and troubleshoot complex issues, applying creative approaches to break down hard data infrastructure problems
• Develop secure, high-quality production code and review or debug code written by others to maintain engineering standards
• Apply event-driven streaming and evolve AI/ML-driven data quality capabilities to strengthen reliability and trust in reference data
• Optimize performance, scalability, and cost efficiency for microservices and data pipelines, backed by comprehensive tests (unit, integration, end-to-end)
• Participate in design and code reviews, proactively remediate technical debt, and support production and incident response
• Share knowledge through documentation, runbooks, and tech talks
• Drive adoption of enterprise-authorized AI-assisted engineering practices (for example, AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support) and promote reuse of effective patterns

What you bring

• Formal training or certification in software engineering concepts and 5+ years of applied experience
• Hands-on, practical experience delivering system design, application development, testing, and operational stability
• Expert-level Java proficiency with deep knowledge of Spring Boot, Spring Cloud, Spring Data, and Spring Security (JWT/OAuth2), plus the Spring Framework and cloud-ready application development on AWS
• Strong understanding of distributed systems, microservices architecture, and design patterns
• Production-level AWS experience with EC2, S3, Lambda, CloudWatch, IAM, Kinesis, and hands-on database experience including MongoDB, Snowflake, and Databricks with relational SQL
• Experience with Git/Bitbucket, CI/CD pipelines, and modern DevOps practices such as Docker, Kubernetes, and Terraform, aligned to SDLC, agile methodologies, and continuous delivery
• Proficiency in Java/J2EE and REST APIs, plus experience building event-driven microservices using Kafka (including Kinesis and Spark Structured Streaming) and message brokers such as Kafka and RabbitMQ
• Hands-on experience with Git/Bitbucket, JIRA, and Maven in system design and application development
• Ability to tackle design and functionality problems independently with clear articulation of technical concepts and high ownership of delivery quality

Compensation and location

• Location: Chicago, IL (onsite)
• Salary: USD 137,750 - 185,000 per yearly

Team context

JPMorganChase Corporate Functions include professionals across finance and risk, human resources, marketing, and more. Corporate teams play a key role in ensuring the company supports businesses, clients, customers, and employees for success.

Technologies you’ll work with

Java, Spring Boot, Spring Cloud, Spring Data, Spring Security (JWT/OAuth2), Spring Framework, AWS, EC2, S3, Lambda, CloudWatch, IAM, Kinesis, MongoDB, Snowflake, Databricks, SQL, Git, Bitbucket, CI/CD pipelines, Docker, Kubernetes, Terraform, REST APIs, Kafka, RabbitMQ, Spark Structured Streaming, JIRA, Maven

Preferred qualifications

• Python with data engineering experience, including exposure to Databricks, and a background in data infrastructure or reference data platforms
• Experience in platform or product development, plus contribution to open-source projects or public technical content
• AWS certification (AWS Certified Solutions Architect - Associate or higher)
• Spring Cloud experience (Netflix OSS stack: Eureka, Zuul, Hystrix)
• Experience building or maintaining high-scale, real-time data systems and familiarity with data product delivery and data mesh patterns
• Experience with multi-region or disaster recovery scenarios
• Familiarity with managed service architecture patterns