Top Engineering Jobs in Chicago, IL

Develop, maintain, and optimize high-performance C++ cloud and distributed systems for ad serving. Collaborate on design, testing, deployment, profiling, and documentation; work with Snowflake and Aerospike; review code and support QA.

As a Systems Engineer at Snap Inc., you will focus on maintaining and improving corporate IT infrastructure, develop solutions for various technology ecosystems, and collaborate with cross-functional teams on system design and automation efforts.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

The Associate Consultant will work on manufacturing process design, optimization, and scaling in the biotech sector, conducting data analyses and supporting client presentations.

The Staff Data Engineer will enhance Artera's data infrastructure, streamline data pipelines, mentor junior engineers, and troubleshoot issues within the platform.

The Enterprise Solutions Engineer will lead technical discussions, assist in product deployments, and interface with Fortune 500 customers, focusing on Verkada's cloud-based security solutions.

Work on FreeWheel's high-performance ad serving DSP: design, develop, test, and deploy C++ cloud-based and distributed systems on Linux. Optimize algorithms for low-latency bidding, use Snowflake and Aerospike, review code, collaborate with stakeholders and QA, document designs, and support production (including variable schedules).

As a Software Engineering intern, you'll collaborate in an advanced software development team to create public safety software, participate in design, implementation, and testing, and provide estimates for work effort.

Lead and deliver Workday HCM solutions and integrations (HCM, Recruiting, Compensation, Payroll, Benefits). Design complex integrations using SOAP/REST, lead a team of integrators/configurators, drive automation and code quality, collaborate with product owners and HR partners, and champion platform standards and performance.

Design, develop, test, implement, and support backend and full-stack solutions. Collaborate with Agile teams and product managers, mentor engineers, and leverage cloud, container, database, and modern programming language technologies to deliver customer-facing solutions.

Design, develop, test, implement, and support backend and full-stack cloud solutions. Collaborate with Agile teams and product managers, mentor engineers, adopt emerging technologies, and use languages and tools like Java, Python, Node, Go, Scala, containers, databases, and AWS.

Design, build, and maintain scalable data pipelines integrating diverse sources into analytics platforms. Own projects, standardize pipeline tooling, implement automated data tests, ensure security/PII handling, support on-call troubleshooting, and mentor team members to enable reliable, production-grade data delivery.

The Data Engineer is responsible for designing and maintaining data pipelines, optimizing data systems, and collaborating with developers and analysts to ensure data quality and consistency.

Lead design and implementation of Salesforce-centric solutions and MuleSoft integrations, develop and support RPA (UiPath) automations, build APIs and web front-ends, mentor engineers, provide level-three support, and ensure scalable, secure production deployments.

Design, build, and maintain scalable backend content platform services and RESTful APIs using Python, .NET, and AWS. Implement AI-enabled features (tagging, summarization, semantic search), integrate external LLM services, improve content workflows, and collaborate with product and cross-functional teams to deliver high-quality, production-ready solutions.

Rapidly prototype and validate AI solutions for advisor workflows, integrating models, signals, and UX into experiments. Collaborate with PMs, designers, and researchers, capture technical learnings, and hand off prototypes for production.

Contribute to backend and data service development on AWS, help maintain and modernize applications, improve reliability and performance, collaborate with cross-functional teams, follow engineering best practices, and learn cloud and AI-assisted tooling.

Lead design and implementation of large-scale TypeScript/Node/NestJS and React applications, architect distributed microservices, optimize PostgreSQL and Redis performance, operate CI/CD on GCP, mentor engineers, make high-impact architectural decisions, and deliver complex projects in a hybrid Chicago environment.

Lead design and delivery of customized Salesforce solutions, manage projects and releases, ensure code quality and performance, troubleshoot complex issues, collaborate with stakeholders, and coach and mentor junior developers.

Lead development of innovative software solutions, manage and mentor a development team, ensure quality deliverables, manage project timelines/budgets, adopt new technologies, and oversee application integration, security, and DevOps practices.

Lead design and deliver complex payments technology solutions: architect, develop, test, and document Java/J2EE microservices; drive CI/CD and secure DevOps practices; mentor teams; collaborate on enterprise standards and observability.

Lead Monitoring & Operations Software Engineer responsible for designing and implementing monitoring, alerting, and automation to improve reliability. Lead multiple projects, mentor junior engineers, create runbooks/alarms, develop automation and tests, participate in on-call rotations, and document designs to support microservices and enterprise applications.

Design and implement scalable backend systems using Node.js, integrate payment gateways, and collaborate with AI and frontend teams.

Lead the development of back-end systems, architect APIs and microservices, mentor team members, and enhance CI/CD processes.

As a Software Engineer, Test & Infrastructure II, you will design test automation frameworks, validate real-time systems, enhance CI/CD integration, and collaborate across disciplines to improve QA processes.