Top Software Engineer Jobs in Chicago, IL

Develop and scale cloud-based software platforms for advertising measurement, attribution, optimization, and privacy-preserving data collaboration. Build microservices, APIs, reporting tools, and real-time or batch processing solutions using Go and cloud-native technologies. Implement automated testing, monitoring, CI/CD, infrastructure automation, and scalable data infrastructure. Collaborate with product, architecture, SRE, QA, compliance, and other cross-functional stakeholders while troubleshooting issues and contributing to technical decisions.

Design, prototype, test, and deploy software applications and emerging technology solutions. Evaluate generative AI, LLMs, automation, cloud services, APIs, and modern development platforms; convert ideas into proofs of concept, pilots, and production features. Apply secure, scalable engineering practices while collaborating with product, architecture, data, security, operations, and business teams. Communicate technical tradeoffs, mentor others, document learnings, and help transition successful experiments into enterprise-ready solutions.

Lead and deliver cloud-based, full-stack solutions for a global payments network. Manage a portfolio and team, design distributed microservices, mentor engineers, collaborate with product, and use cloud, container, database, and multi-language technologies to meet regulatory and business needs.

Develop and maintain options valuation and risk management systems. Responsibilities include full-cycle software development, requirements gathering, solution design, coding, code reviews, troubleshooting, performance improvements, documentation, and collaboration with traders, risk managers, quantitative analysts, and support teams. The role requires object-oriented programming, data analysis tools, and strong knowledge of mathematics, statistics, probability, stochastic calculus, numerical methods, and linear algebra.

Develop and deploy full-stack analytics applications using React, Next.js, Java, and Python. Build scalable APIs, ETL workflows, reusable components, and cloud-native solutions while integrating data technologies and third-party services. Improve application performance, reliability, testing, and CI/CD automation. Collaborate with product, design, and engineering teams, evaluate technologies, mentor teammates, and apply AI tooling to improve software development processes.

Supports the reliability and operational excellence of health benefits systems involving HSA administration, banking integrations, compliance, and money movement. Responsibilities include independently resolving escalations, monitoring dashboards and logs, triaging incidents, executing data corrections, maintaining runbooks, analyzing recurring support issues, and collaborating with engineering, product, treasury, and operations teams. The role also mentors teammates, contributes to postmortems, improves troubleshooting processes, and uses AI tools for prototyping and debugging.

Lead and develop a Salesforce engineering and administration team, oversee delivery planning and prioritization, align platform investments with business strategy, manage integrations, guide architectural decisions, and ensure operational excellence across releases, design reviews, and incident retrospectives.

Lead engineering for a portfolio of consumer mobile apps, overseeing architecture, hands-on development, shared backend platforms, and reusable components. Manage a small team of mobile and backend engineers while partnering with product leadership on roadmap and prioritization. Use retention and engagement data to guide investment, represent the data apps business with executives, and improve development leverage through shared platforms and AI-assisted engineering.

Provides technical leadership for enterprise SaaS and low-code platforms, including planning, implementation, integration, testing, administration, security, performance, and compliance. Maintains Atlassian tools such as Confluence, Jira, and SpiraTest; supports knowledge management; documents solutions; facilitates training; coaches team members; and drives platform improvements. Requires expertise in Atlassian implementations, cloud technologies, SDLC practices, REST APIs, and system administration.

Leads software engineering teams building AI-enabled developer tooling, governed agent platforms, self-healing production agents, and internal builder workflows. Owns platform strategy, roadmap, architecture, observability, identity and access models, cost governance, operational metrics, and executive reporting. Requires production experience with LLM or agent systems, internal developer platforms, MCP architectures, cloud platforms, CI/CD, OpenTelemetry, and non-human identity models.