Top Engineering Jobs in Chicago, IL

Develop and maintain scalable backend advertising software using Python and Django. Responsibilities include designing RESTful APIs, analyzing requirements, integrating and releasing applications, supporting production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, participating in code reviews, mentoring engineers, and promoting reliability and engineering best practices. The role is hybrid in Chicago and may require variable schedules, including nights and weekends.

The Site Reliability Engineer will ensure the reliability, scalability, and performance of large-scale data platforms. Responsibilities include monitoring and alerting, automation, deployment, backup and disaster recovery, performance optimization, incident response, capacity planning, documentation, security compliance, and cross-functional collaboration. The role requires experience with cloud platforms, distributed data systems, databases, infrastructure automation, Kubernetes, Terraform, CI/CD, programming, and observability tools.

Designs and implements IP router networks, analyzes traffic and performance, configures routing protocols, forecasts capacity needs, develops network testing criteria, resolves complex technical issues, provides operational guidance and training, and coordinates network strategies with regional teams. Requires availability for nights, weekends, and variable schedules.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

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.

Build software, data pipelines, dashboards, and automation for cloud cost visibility, infrastructure efficiency, reliability, engineering productivity, and financial accountability. Analyze workloads and billing data, implement AI- and analytics-enabled forecasting and anomaly detection, develop cloud-native services, and support capacity planning, cost allocation, and optimization. Collaborate with Engineering, Finance, Data, Platform, SRE, Architecture, and Product teams while testing, troubleshooting, documenting, and communicating recommendations and business value.

Designs, develops, integrates, tests, deploys, and supports scalable backend software and web applications. Builds RESTful APIs with Django, contributes to architecture, documents technical work, and supports production services using Kubernetes, EKS, and AWS. Mentors junior engineers, collaborates with stakeholders and QA, evaluates performance metrics, supports releases, and presents technical decisions to internal and external audiences. The role requires independent judgment and occasional nights or weekends.

Develop and maintain scalable backend services for programmatic advertising platforms. Responsibilities include designing REST APIs, analyzing requirements, integrating and releasing software, managing production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, conducting code reviews, mentoring engineers, and promoting reliable engineering practices. The role requires Python and Django expertise, PHP experience, AWS and Kubernetes/EKS experience, and on-site work in Chicago twice weekly.

Lead the Buyer Cloud Tier-2 engineering team to ensure platform availability, performance, and operational excellence. Own incident response, RCA, release readiness, monitoring, automation, and cross-functional coordination while balancing hands-on troubleshooting, engineering initiatives, and people management.

Lead reliability, performance, and operational excellence for large-scale ad-tech distributed systems. Design and operate monitoring, incident response, capacity planning, automation, and secure production infrastructure. Mentor engineers, influence architecture for production readiness, run on-call rotations, and drive continuous improvement of engineering operations and observability.