Top Software Engineer Jobs in Chicago, IL

Develop and maintain backend software for programmatic advertising systems. Responsibilities include writing efficient code, designing applications, implementing unit and integration tests, documenting development and deployment processes, analyzing integration and architecture needs, troubleshooting issues, collaborating with QA, participating in code reviews, and improving application performance and reliability.

Develops secure, scalable Java applications for JPMorganChase’s payment platform. Responsibilities include software design, coding, debugging, troubleshooting, testing, SDLC automation, data analysis, and collaboration within an agile team. The role requires Java, Spring Boot, REST APIs, design patterns, JUnit, Git, TDD, CI/CD, and application resiliency experience, with preferred knowledge of Kafka, containers, orchestration platforms, AI tools, and relational or NoSQL databases.

Configure and support Akeneo PIM, maintain Informatica P360 during migration, build SDK-based extensions, and develop REST API integrations. Perform data mapping, validation, migration cutover support, troubleshooting, and product data quality remediation. Establish reusable engineering patterns, participate in code and design reviews, follow CI/CD practices, and support backlog, sprint, architecture, and release activities while coordinating across technical, business, and delivery teams.

Develop and maintain Kotlin-based payment terminal and SDK solutions deployed across Android, Linux, and backend environments. Build payment features, integrations, and business logic for cards, mobile wallets, and QR codes. Contribute to C++ libraries, automated testing, debugging, and product stability. Collaborate with engineers, designers, and stakeholders while mentoring teammates through reviews and debugging. The role is office-first in Chicago.

Develop scalable full-stack applications, APIs, services, and responsive user experiences using .NET and React. Collaborate with architects, designers, product managers, and engineers throughout the product lifecycle. Participate in technical design, architecture, code reviews, automated testing, documentation, deployment, and continuous improvement while ensuring security, performance, scalability, reliability, and maintainability. Work within an Agile, DevOps-oriented team and contribute to observability, integrations, and peer coaching.

Develop and support proprietary trading applications and tools using C#. Collaborate with engineers, traders, and quants to gather requirements, design solutions, manage projects, deploy features, and provide real-time production support. The role serves as a technical bridge between trading and technology while working across the full trading application stack, including backend and frontend systems.

Develops secure, scalable software solutions using Golang within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role also uses AI-assisted development tools responsibly, validates generated code, supports automation, and improves coding practices and system architecture. Preferred experience includes Envoy Proxy, Kubernetes or AWS EKS, and identity protocols such as OIDC, OAuth 2.0, and SAML.

Build and deploy custom software solutions for customers using large-scale data and AI. Responsibilities include collaborating on architecture, developing applications, engaging technical and executive stakeholders, and leading projects from ideation through deployment. The role requires strong programming skills, analytical problem-solving, independent decision-making, and up to 25% travel to client sites.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Develop and maintain scalable Python software, integrations, and web applications. Collaborate with QA, IT operations, analysts, and stakeholders in an Agile/Scrum environment. Design technical solutions, translate workflows into requirements, participate in code reviews and Scrum ceremonies, optimize relational and non-relational database queries, troubleshoot production issues, and improve application performance and security.

Build and own features for Braze’s high-scale user segmentation system. Develop Ruby on Rails backend and React frontend functionality, optimize MongoDB and ClickHouse queries, and work with large-scale data. Own medium-sized projects from requirements through production, collaborate with product and design teams, write automated tests, review code, and participate in on-call support. The role requires strong software fundamentals, database experience, ownership, and effective communication.

Build and enhance large-scale internal platform interfaces using TypeScript and React. Design workflow-driven user experiences, optimize performance, maintain architectural consistency, and improve CI/CD and testing practices. Own portions of the SaaS product, including monitoring and incident resolution. Collaborate with cross-functional stakeholders to deliver business-critical enhancements for investment, sales, operations, and portfolio-management workflows.

Designs and delivers secure, scalable full-stack Java solutions for commercial and investment banking use cases. Responsibilities include maintaining master data models, building ingestion and distribution pipelines, developing APIs, creating CI/CD and ML deployment pipelines, implementing AWS infrastructure as code, contributing to knowledge graphs, and producing architecture and design artifacts. The role also requires collaboration across data platform teams and responsible use of AI-assisted development tools.

Develop, deploy, and support proprietary trading applications for human and algorithmic derivatives traders. Collaborate with engineers, traders, and quants to design systems, add features to C# infrastructure, understand the full trading pipeline, and provide real-time support and bug fixes for live trading applications.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Designs, develops, tests, deploys, and supports reliable software solutions and significant application components. Translates business requirements into technical specifications, builds APIs and integrations, improves CI/CD and DevOps automation, performs testing and troubleshooting, monitors application health, and resolves production issues. Collaborates with product, architecture, engineering, and business teams while managing technical debt, supporting upgrades, guiding junior engineers, and participating in critical incident escalations.

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Leads full-stack software engineering for JPMorganChase’s ATM Channel team. Designs, develops, troubleshoots, and reviews secure production code using Java, Spring Boot, React, AWS, Kubernetes, Kafka, and PostgreSQL. Builds APIs, microservices, event-driven systems, and real-time data solutions while optimizing performance and resiliency. Leads technical evaluations, communities of practice, and responsible adoption of AI-assisted engineering tools. Collaborates within Agile teams and promotes automation, secure coding, testing, and operational stability.

Leads software engineering for credit trading technology, designing and building secure, scalable Python systems and AI-enabled trading platforms. Partners with sales, trading, product, vendors, and support teams to deliver solutions, improve reliability, automate remediation, and modernize systems. Establishes engineering standards for AI-assisted development, testing, security, and responsible AI use. Requires strong cloud-native AWS, CI/CD, agile, application resiliency, and software development lifecycle expertise.