Software Engineering Manager Jobs in Chicago, IL
Software Engineering Manager jobs in Chicago are in strong demand, concentrated in the Loop, River North, and the Fulton Market tech corridor, across enterprise software, fintech, healthtech, and cloud infrastructure. Comcast, JPMorganChase, and Options Clearing Corporation are among those actively hiring right now. See the openings below and apply to the ones that match your experience.
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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
- 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
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
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
ABOUT THE TEAM
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.
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
- 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
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
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
ABOUT THE TEAM
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.
See All 64 Software Engineering Manager Jobs in Chicago
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Find JobsSoftware Engineering Manager Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Agriculture & Farming
- Consulting & Professional Services
Software Engineering Manager Jobs in Chicago: Frequently Asked Questions
How do I get a software engineering manager job in Chicago?
Focus your search on Chicago's Fulton Market and River North corridors, where fintech firms, enterprise SaaS companies, and healthtech organizations concentrate their engineering leadership. Employers here prioritize candidates who have led cross-functional teams, managed distributed engineers, and driven delivery in Agile environments. A portfolio of shipped products and measurable team outcomes carries more weight in Chicago's market than credentials alone.
Which companies hire software engineering managers in Chicago?
Chicago software engineering manager roles are posted by Comcast, JPMorganChase, and Options Clearing Corporation and others right now, based on current listings on Migrate Mate as of September 2026. Chicago's hiring base is broad, ranging from large financial technology firms and healthcare platforms in the Loop to growth-stage SaaS startups clustered in Fulton Market.
Are there remote software engineering manager jobs in Chicago?
Yes, though remote availability varies since the role involves leading teams, running standups, and coordinating cross-functional stakeholders, which many Chicago employers prefer to do in person at least part of the time. About 81% of software engineering manager openings tied to Chicago are remote or hybrid as of September 2026, with the fully remote share most common at product-led SaaS companies and enterprise tech firms headquartered in the Loop.
How can I get a software engineering manager job in Chicago with little or no experience?
The most realistic path in Chicago is moving into a team lead or staff engineer role first, which many of the city's mid-size fintech and healthtech companies use as a direct feeder to management. Targeting growth-stage startups in Fulton Market, where engineers often step into leadership earlier, gives you a structural advantage. Demonstrating that you have mentored junior developers, owned a project end-to-end, or run sprint planning strengthens a first-time manager application.
Which industries hire the most software engineering managers in Chicago?
Most software engineering manager openings in Chicago sit in Agriculture & Farming and Consulting & Professional Services, per current listings on Migrate Mate as of September 2026. Chicago's role as a hub for financial services, hospital systems, and B2B software companies drives consistent demand for engineering leadership across those three sectors year-round.
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