Top Java Developer Jobs in Chicago, IL

Leads full-stack software engineering for secure, scalable corporate technology systems. Designs distributed, event-driven microservices using Java, Spring Boot, Kafka, MongoDB, and CQRS/Saga patterns; builds React and TypeScript applications; reviews code; improves operational stability; and guides architecture, testing, security, and AI-assisted engineering practices. Collaborates with vendors and internal teams while leading technical communities and promoting agile delivery.

Design, develop, test, deploy, and support scalable software services, APIs, and event-streaming applications using Java and Spring Boot. Collaborate with engineers, architects, analysts, stakeholders, and product managers on technical solutions. Apply CI/CD and engineering best practices, participate in pair programming and TDD, and mentor junior engineers while supporting full systems lifecycle delivery.

Lead software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Provide technical direction across Agile teams, establish engineering standards, mentor engineers, partner with architects and product managers, and improve system performance through refactoring and observability. The role uses Java and other programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and modern AI coding tools.

Design and scale resilient, cloud-native payment systems and distributed microservices. Lead technical architecture, technology roadmaps, and cross-team engineering initiatives while mentoring developers. Build full-stack solutions using Java, AWS, Kafka, multiple programming languages, databases, containers, and modern AI coding tools. Drive reliability, performance, observability, security, regulatory support, coding standards, and enterprise technology strategy.

Lead diverse software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provide technical leadership across Agile teams, define service architectures and integration patterns, reduce technical debt, improve performance, mentor engineers, and influence long-term technology strategy. The role uses multiple programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability technologies.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads software engineering within an agile Corporate Technology team, designing, developing, troubleshooting, and reviewing secure enterprise applications. Builds Java and Spring Boot solutions using microservices, APIs, databases, cloud-native architecture, messaging, and modern UI frameworks. Drives automation, application resiliency, CI/CD, responsible AI-assisted development, technical evaluations, and engineering communities of practice. Coaches teams on secure AI adoption, validates AI-generated outputs, and promotes scalable engineering standards.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Leads two scrum teams while remaining hands-on in software development at least 50% of the time. Designs, codes, tests, debugs, and supports secure, resilient, high-throughput distributed payment systems using Java and Spring Boot. Drives AI-assisted engineering practices, automation, CI/CD, code quality, operational stability, and responsible AI usage. Evaluates technical solutions with vendors and internal teams and leads engineering communities of practice.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Develop with multiple programming languages, AWS, databases, containers, APIs, and modern engineering tools. Provide technical leadership across Agile teams, establish coding and design standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Lead the design, development, and support of large-scale Java enterprise applications and cloud-native platforms. Architect microservices, REST APIs, event-driven services, and distributed systems; implement CI/CD, DevSecOps, automated testing, security, monitoring, and observability practices. Provide technical leadership and mentorship, support mission-critical production systems, lead incident resolution, and improve reliability and performance across global, regulated-data environments. Preferred experience includes AI/LLM integrations, globally distributed databases, multi-region architectures, and SRE practices.

Build and lead full-stack software engineering projects using cloud technologies, distributed microservices, and front-end and back-end frameworks. Provide technical leadership across Agile teams, mentor engineers, define architecture and integration patterns, improve system performance, reduce technical debt, and establish engineering standards. Develop solutions using languages such as Java, Python, and JavaScript/TypeScript, along with AWS, containers, databases, APIs, CI/CD, and infrastructure-as-code tools.

Lead backend and full-stack engineering initiatives for customer rewards redemption platforms. Design and implement scalable, cloud-native microservices; guide architectural modernization; mentor engineers; establish technical standards; and partner with product, architecture, fraud, and customer experience teams. The role requires expertise in distributed systems, multiple programming languages, cloud platforms, databases, APIs, CI/CD, observability, and modern software development practices.

Leads software engineering within an agile banking technology team, designing, developing, testing, debugging, and operating secure, scalable Java applications. Reviews code, improves automation and continuous delivery, resolves recurring operational issues, and promotes responsible AI-assisted engineering practices. Evaluates architectural solutions with vendors and internal teams while guiding technical delivery, resiliency, cloud-native development, data streaming, and secure software practices.

Lead development of an AI-first developer portal and AI-enabled support experiences, design secure external API platforms and integrations, establish engineering standards for AI/automation, remain hands-on with critical coding and architecture, drive cross-functional delivery, and coach/mentor engineering talent.

Leads a team of software engineers in designing, developing, testing, and operating secure, resilient Java microservices. Oversees architecture, implementation, technical troubleshooting, and design documentation for event-driven systems using Kafka, Spring Boot, and cloud infrastructure. Promotes automation, responsible AI-assisted development, secure coding, continuous delivery, operational stability, and adoption of emerging technologies. Provides technical leadership across agile teams and evaluates architectural solutions with vendors and internal stakeholders.

Leads development of secure, scalable Java full-stack applications within an agile team. Designs microservices and resilient architectures, writes and reviews production code, resolves operational issues, and promotes automation and AI-assisted engineering practices. Builds front-end and back-end solutions using Java, Python, modern web technologies, databases, cloud-native patterns, and agentic AI frameworks. Coaches engineers on responsible AI usage, security, testing, and delivery standards while evaluating architectural solutions with vendors and internal stakeholders.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

Leads full-stack engineering projects and developer teams building cloud-based, distributed microservices and customer-facing systems. Responsibilities include defining service boundaries, developing APIs and reusable frameworks, applying AWS and modern programming technologies, improving performance, reducing technical debt, setting engineering standards, mentoring engineers, and guiding Agile teams. The role also influences technology strategy, promotes operational excellence, and leverages emerging AI tooling and observability practices.

Lead and mentor engineering teams building large-scale, cloud-native full-stack systems for credit card application and provisioning experiences. Design distributed microservices, modern user experiences, APIs, and shared platforms using Java, Go, Angular, AWS, and related technologies. Own architecture, deployment, support, reliability, observability, technical standards, and long-term platform roadmaps while collaborating with product managers, architects, and cross-functional engineering teams.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Designs, develops, deploys, and supports enterprise web applications and distributed systems. The role combines advanced Java and Spring Boot backend development with React-based frontend engineering, microservices, REST APIs, SQL databases, cloud platforms, CI/CD, and production troubleshooting. Preferred experience includes Kafka or RabbitMQ, Docker, Kubernetes, distributed systems, and automated testing. The developer collaborates with product, architecture, DevOps, and engineering teams in an Agile environment.

Develop and customize the PTC Windchill platform using Java, PTC APIs, and customization frameworks. Responsibilities include implementing services, listeners, processors, client-side customizations, TAM configurations, troubleshooting, performance engineering, SQL-based development, upgrade support, documentation, code and design reviews, and mentoring junior engineers. The role collaborates with cross-functional stakeholders and is fully remote within the United States.

Leads the design, development, testing, debugging, documentation, and implementation of complex Java applications. Provides technical solutions, prototypes, integrations, system enhancements, and performance improvements while monitoring system efficiency and resiliency. Collaborates with product owners, business analysts, and delivery management to gather requirements and resolve issues. Mentors team members, reviews code for quality and security compliance, communicates risks to stakeholders, and makes decisions on complex application development matters.

Develop and enhance enterprise software using Java and Spring Boot, designing cloud-native solutions on AWS. Build infrastructure with Terraform, maintain CI/CD pipelines, use Git, Docker, Kubernetes, and automated testing, and support production environments. Collaborate with cross-functional teams, solve complex technical problems, improve system reliability, and guide team members. This role is fully onsite in Chicago.