Top Full-Stack Engineer Jobs in Chicago, IL

Leads software engineering projects and development teams building distributed microservices and full-stack systems. Delivers cloud-based solutions, collaborates with product managers, supports regulatory needs, mentors engineers, evaluates code, and promotes modern technology adoption. The role uses multiple programming languages, relational and NoSQL databases, containers, orchestration platforms, and cloud services.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Develops cloud-based solutions using multiple programming languages, databases, container orchestration, and AWS services. Partners with product managers to deliver customer and regulatory solutions, mentors engineers, evaluates emerging technologies, and promotes engineering community participation. The role also involves people management, Agile practices, and using AI tooling to improve productivity.

Lead software engineering projects and development teams building full-stack, distributed microservices and cloud-based solutions. Collaborate with product managers, mentor engineers, evaluate code, and guide technology transformation initiatives. Develop solutions using Go, JavaScript, Java, TypeScript, Python, SQL, React, AWS, Docker, Kubernetes, relational databases, and NoSQL technologies while addressing regulatory and customer needs.

Develop and maintain full-stack cloud applications for PwC’s Risk Consulting practice. Responsibilities include designing, coding, testing, and debugging software; integrating APIs and microservices; building CI/CD and GitOps deployment pipelines; deploying applications and AI APIs to major cloud platforms; conducting code reviews; analyzing business requirements; and collaborating with clients and cross-functional teams to deliver secure, high-quality solutions.

Build and improve Adyen’s documentation experience through front-end UI updates, interactive developer-focused features, docs-as-code workflow improvements, and Grav CMS integrations. Experiment with data and AI workflows to enhance user and agent experiences, validate AI-generated outputs, reduce technical debt, and iterate quickly based on feedback. The role requires working in Adyen’s Chicago office at least three days per week.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and develops scalable solutions using multiple programming languages, databases, container orchestration platforms, and cloud services. The role also supports regulatory requirements and technology transformation initiatives.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, addresses regulatory technology needs, and delivers customer-focused systems. Uses Go, Java, Python, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL technologies while evaluating emerging tools and AI-assisted productivity solutions.

Lead full-stack software engineering for customer onboarding across mobile, web, and backend systems. Provide technical leadership to development teams, deliver cloud-based microservices, mentor engineers, collaborate with product managers, and address regulatory needs. Build and orchestrate multi-agent workflows using advanced AI frameworks and tools while leveraging modern programming languages, databases, containers, and cloud services.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Delivers cloud-based solutions supporting regulatory needs and customer experiences, mentors engineers, evaluates emerging technologies, and collaborates with product managers. The role uses Java, Go, JavaScript, TypeScript, SQL, Python, AWS, databases, Docker, and Kubernetes.

Build scalable, data-intensive products from the ground up, focusing on Java/Kotlin backend services, REST or GraphQL APIs, data access, and React/TypeScript interfaces. Responsibilities include architecture, performance optimization, testing, observability, production troubleshooting, technical documentation, and end-to-end feature ownership. Collaborate with data, reporting, design, and product teams while using AI-assisted development tools to accelerate delivery.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Leads technical vision and strategy for Affirm’s Marketplace, Search, Ads Platform, and consumer experiences. Designs scalable full-stack platforms, guides architecture and technical excellence, coordinates initiatives across engineering teams, mentors engineers, and drives reliable delivery of customer-focused products across iOS, Android, and Web.

Lead teams and projects to design, build, and operate scalable, highly available payment systems. Mentor engineers, collaborate with product managers, deliver cloud-native full‑stack solutions using microservices, containers, databases, and AWS/Azure/GCP technologies, and occasionally write or review code.

Leads technical direction and develops fullstack purchase experiences using Ruby on Rails and Vue.js. Designs resilient transactional flows, integrates billing and CRM systems, improves reliability and rollout safety, mentors engineers, reviews code, reduces technical debt, and participates in incident response. Partners with Product, Design, Billing, and Support to improve GitLab’s purchase, subscription, discount, and upgrade workflows.

Lead a team and portfolio building full-stack, cloud-native microservices and platforms. Collaborate with product managers to deliver scalable AWS solutions, mentor engineers, experiment with new technologies, and ensure regulatory needs are met using languages like JavaScript, Java, TypeScript, Python, Go, and container orchestration (Docker, Kubernetes).

Leads full-stack software engineering for ATM technology products, designing and developing secure Java and Spring Boot applications, APIs, microservices, and React interfaces. Builds cloud-native solutions using AWS, Kubernetes, Kafka, and PostgreSQL; performs performance tuning, troubleshooting, and real-time data processing. Reviews code, improves automation and application resiliency, guides architectural evaluations, and promotes responsible AI-assisted engineering practices. Collaborates within Agile teams and leads technical communities of practice.

Lead and mentor a team building high-throughput, resilient distributed microservices and full-stack cloud solutions for global payment processing. Collaborate with product managers, design scalable systems, ensure observability and reliability, and occasionally code, evaluate, and modernize platforms using cloud, container orchestration, and multiple programming languages.

Lead and architect full-stack cloud services and user experiences for credit card acquisition, mentor engineers, own deployments, and apply emerging AI/LLM technologies to drive product and engineering improvements.

As a Senior Lead Software Engineer, you'll lead diverse tech projects, mentor developers, and deliver cloud solutions at Capital One.

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.

Build and maintain full‑stack web applications using Vue/Nuxt, TypeScript, Node.js and AWS. Implement SSR/SSG apps, reusable components, APIs, integrations with CMS and third‑party services, and improve performance, accessibility, SEO, monitoring, and AI-enabled marketing workflows. Participate in reviews, debugging, and cross‑functional collaboration.

Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment.

The role involves designing and building AI-native systems for revenue teams at Upside, including developing applications, partnering with teams, managing the entire stack, and improving system reliability and performance.

Lead a team building distributed microservices and full-stack cloud solutions, collaborate with product managers, mentor engineers, and deliver enterprise platforms using modern languages, container orchestration, open source databases, and AWS tooling to meet regulatory and customer needs.

Lead a portfolio of technology projects and a developer team to build distributed microservices and full-stack cloud solutions. Collaborate with product managers, mentor engineers, and deliver scalable, secure platforms using modern languages, databases, container orchestration, and AWS cloud services to meet regulatory and customer needs.