Top Tech Jobs & Startup Jobs in Chicago, IL

Lead design and evolution of large-scale microservices ecosystems: service decomposition, domain-driven design, distributed data, resilience, observability, and security. Provide hands-on architectural leadership, API and event-driven design, cloud/native platform guidance, and multi-team architecture stewardship to keep systems maintainable at scale.

Design and govern cloud-native solutions across compute, networking, data, identity, and security on a major cloud platform. Partner with stakeholders and engineering teams to produce architecture artifacts, lead architecture reviews, guide migrations and modernization, and balance cost, security, and maintainability.

Design, build, and operate end-to-end observability platforms (metrics, logs, traces, alerting). Improve signal quality, scalability, and usability; integrate telemetry with CI/CD and incident management; optimize cost and compliance for engineering and business stakeholders.

Design and implement end-to-end Industrial IoT solutions from edge data acquisition to cloud ingestion and real-time analytics. Architect secure connectivity, edge runtimes, and operational dashboards; translate ambiguous requirements, perform code and design reviews, troubleshoot production systems, and mentor junior engineers while collaborating with product, design, operations, and business stakeholders.

Build and operate large-scale data systems powering AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs, operating petabyte-scale storage and pipelines, and ensuring reproducibility for ML workflows.

Design, build, and operate enterprise integrations connecting Oracle Cloud Applications, on-prem Oracle systems, and third-party platforms. Own full integration lifecycle: analysis, design, development, testing, deployment, monitoring, and support. Implement OIC integrations, APIs, security standards, and migrations from Oracle SOA Suite; troubleshoot and document solutions.

Design, implement, and optimize compute‑intensive GPU workloads using CUDA for AI training, inference, scientific computing, and high-throughput data processing. Profile and tune production GPU systems, integrate custom kernels into ML frameworks, collaborate with cross-functional teams, perform code and design reviews, and mentor junior engineers to deliver high-performance, production-ready solutions.

Design, build, and operate large-scale Hadoop-based data pipelines and analytics platforms. Ingest, transform, and analyze massive structured and unstructured data to support enterprise analytics, ML, and reporting. Ensure reliable, performant production data platforms with troubleshooting, documentation, and orchestration.

Design and build high-performance backend services and cloud-native applications in Go. Work on low-latency, concurrent, and distributed systems; implement gRPC/REST APIs, Kubernetes-native components, and CI/CD container deployments. Collaborate across product and engineering, perform code and design reviews, mentor junior engineers, and optimize production performance and reliability.

Design, deploy, and operate large-scale, secure Azure cloud platforms. Own architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and operational excellence. Implement CI/CD, AKS at scale, monitoring, and partner with development, security, and SRE teams to support production workloads.