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Next Frontier Capital

Lead Software Engineer - Reference Data Engineering

chicago, IL

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About this opportunity

Next Frontier Capital lists this Lead Software Engineer - Reference Data Engineering opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.

Job 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 JPMorganChase within the Corporate Sector's Reference Data Engineering, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. This group powers one of the teams' most critical data‑driven capabilities through a modern data mesh architecture delivering curated, domain‑driven data products in real‑time across the firm. Operating at enterprise scale across AWS, Databricks, and on‑premises, Reference Data Integration (RDI) manages multi‑tenant data delivery with managed‑service enablement. The platform uses event‑driven streaming (Kafka, Kinesis, Spark Structured Streaming) for high‑performance real‑time data delivery and is evolving AI/ML‑driven data quality and reconciliation capabilities. Join our engineering team to architect intelligent, self‑healing data platforms driving the next generation of financial infrastructure.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Executes creative software solutions through innovative system design and development. Approaches complex data infrastructure challenges with ability to think beyond conventional approaches

Develops secure, high-quality production code. Reviews and debugs code written by others. Maintains and elevates engineering standards

Designs and develops Java/Spring Boot microservices for real-time data product delivery and platform capabilities

Owns assigned features end-to-end: requirements, design, implementation, testing, deployment, and monitoring

Optimizes performance, scalability, and cost efficiency of microservices and data pipelines while writing comprehensive tests (unit, integration, end-to-end) to ensure platform reliability and data integrity

Participates in design and code reviews. Proactively identifies and remediates technical debt and helps with production support and incident response.

Contributes to team knowledge sharing: documentation, runbooks, tech talks

Required qualifications, capabilities, and skills

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

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Hands‑on practical experience delivering system design, application development, testing, and operational stability

Expert‑level Java proficiency. Deep knowledge of Spring Boot, Spring Cloud, Spring Data, and Spring Security (JWT/OAuth2), Spring Framework, Spring Boot, and AWS Services in public cloud infrastructure, with experience building cloud‑native or cloud‑ready applications using AWS

Strong understanding of distributed systems, microservices architecture, and design patterns

Production‑level experience with AWS: EC2, S3, Lambda, CloudWatch, IAM, Kinesis. Hands‑on with databases: NoSQL (MongoDB), columnar/analytics (Snowflake, Databricks), relational SQL

Experience with version control (Git/Bitbucket), CI/CD pipelines, and modern DevOps practices (Docker, Kubernetes, Terraform) so you can be proficient in all aspects of the Software Development Life Cycle (SDLC), agile methodologies, and continuous delivery

Proficiency in Java/J2EE and REST APIs. Experience building event‑driven Microservices and Kafka (Kinesis, Spark Structured Streaming) and its event‑driven architecture and message brokers (Kafka, RabbitMQ)

Hands‑on experience with system design, application development, testing with proficiency in GIT/Bitbucket, JIRA, Maven

Ability to tackle design and functionality problems independently with little to no oversight. Clear articulation of technical concepts in a self‑motivated role that requires high ownership of work quality and delivery

Preferred qualifications, capabilities, and skills

Python with data engineering experience including exposure to Databricks and a a background in data infrastructure or reference data platforms

Experience in Platform or Product Development and contribution to open‑source projects or public technical content

AWS Certifications (AWS Certified Solutions Architect - Associate or higher)

Experience with Spring Cloud (Netflix OSS stack: Eureka, Zuul, Hystrix)

Experience building or maintaining high‑scale, real‑time data systems. Familiarity with data product delivery and data mesh patterns

Experience in multi‑region or disaster recovery scenarios

Familiarity with managed service architecture patterns

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

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Worksite address

chicago, IL, 60290, US

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