Top Engineer Jobs in Chicago, IL

Design, build, and operate highly available, secure infrastructure for a multi-tenant financial SaaS platform. Lead automation (IaC), Kubernetes operations, CI/CD, observability, connectivity for market/custodian feeds, incident escalation and RCA, capacity planning, compliance (SOC 2/ISO27001), cost optimization, and mentor engineers.

Lead and manage a team of full‑stack and backend engineers to design, build, and maintain scalable Java/Python applications and ETL/data pipelines. Own production stability, monitoring, incident response, and CI/CD-driven deployments. Partner with product, QA, and clients to deliver API-driven microservices, mentor engineers, drive sprint planning, and contribute to architecture and long‑term technical strategy.

Lead a portfolio of full‑stack, microservices-based projects and mentor developers. Deliver cloud-native solutions in collaboration with product managers, using container orchestration and modern web/backend languages to support decisioning technology for card products and regulatory needs.

Lead and mentor a team delivering cloud-based, full-stack, microservices solutions. Collaborate with product managers, design scalable systems, evaluate and write code, and adopt modern tools like containers and cloud services to support decisioning technology for card products.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Lead Platform Software Engineer responsible for full SDLC: design, develop, test, and deploy APIs and web apps. Set technical direction, perform peer reviews, package releases, collaborate on architecture, ensure non-functional requirements (security, performance, scalability), improve developer experience and CI/CD, troubleshoot and upgrade software, and work in Agile with product and design teams.

Plan and design internal communications networks; test and certify hardware, configurations, and services pre-deployment; design and configure telecommunications systems; troubleshoot and resolve complex network issues; establish and maintain network performance objectives; work variable schedules including nights, weekends, and overtime as needed.

Build and maintain backend pricing services that compute merchant charges, deliver contractually accurate, performant pricing data, and ship features rapidly. Collaborate across teams to improve platform scalability, robustness, and product alignment while working in an office-first, cross-functional engineering environment.

Design and implement scalable, high-performance content search platforms. Drive technical vision, build NLP/vector search and personalization features, optimize relevance with analytics and KPIs, collaborate with product, data science, and engineering teams, and operate search infrastructure across cloud environments.

The Senior Software Engineer will develop and maintain web-based applications, creating APIs and improving the platform using JavaScript, Node.js, and client-side frameworks like Angular.js and Vue.js.

The Software Engineer will build new systems, enhance existing ones, and integrate with external systems, collaborating closely with developers, QA, and product managers.

The Test Engineer is responsible for developing and executing test plans, analyzing results, collaborating on product developments, and ensuring compliance with safety protocols.

Contribute to high-scale production software for an e-commerce company, working on customer-facing features and automation, while advancing to technical leadership roles.

As a Senior Software Engineer, you'll lead high-impact projects, own the full lifecycle of software development, mentor engineers, and collaborate cross-functionally to enhance systems and customer experiences.

As a Lead Software Engineer, you will design, develop, and optimize software solutions for e-commerce and automate logistics, while mentoring junior engineers.

As a Senior z/OS Platform Engineer, you will enhance mainframe software systems, support infrastructure tasks, and mentor team members.

Lead Platform Engineer responsible for designing, implementing, and maintaining Connex applications on HPE NonStop platforms. Champion data integrity, security, performance, and business continuity for debit card transaction processing. Collaborate with product owners and Agile teams to deliver, test, and deploy changes, mentor engineers, and improve engineering practices across production and test environments.

Lead diverse technology projects and teams to create solutions, mentor engineers, collaborate with product managers, and implement cloud-based solutions.

Lead a team of developers on diverse technology projects, create cloud-based solutions, collaborate with product managers, and mentor engineers. Stay updated on tech trends and participate in technology communities.

Lead the development of diverse technology projects, mentoring teams, and delivering cloud-based solutions to enhance customer experiences. Requires strong expertise in full stack development and cloud computing.

Deliver a great consumer experience through software development and maintenance of eCommerce core platform, leading teams and providing technical guidance.

Lead a team to develop solutions in Workday Finance, focusing on automation and integration, while collaborating with stakeholders and improving business processes.

The Engineer will manage project scopes, communicate with clients, oversee testing compliance, and coordinate lab activities while ensuring project completion and client satisfaction.

Perform engineering evaluation and testing of fire alarm control panels to UL requirements. Manage project scope, test programs, laboratory scheduling, and reports. Communicate technical issues and results with clients, provide technical assistance, develop test methods/equipment, resolve noncompliance, and support continuous improvement and project administration.

Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.