Top Infrastructure Engineer Jobs in Chicago, IL

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

Design, build, and maintain internal infrastructure and shared engineering services. Improve observability, CI/CD, and automation, operate cloud-managed services and VMs, participate in incident response, and collaborate with product and customer-facing teams to enable data-driven decisions and scalable systems.

Lead design, implementation, and optimization of hybrid infrastructure across co-located data centers and Azure/AVS. Manage VMware stack, Windows and RHEL image lifecycle, Active Directory, Exchange, storage, backup/DR. Drive automation with Terraform/Ansible and CI/CD integration, monitor performance, mentor engineers, and ensure security, compliance, and operational governance.

Design, implement and operate a Kubernetes-based cloud-native platform, managing containerized applications' lifecycle, CI/CD pipelines, and infrastructure while ensuring reliability and security.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

The Principal Infrastructure Engineer designs and evolves infrastructure for production services, focusing on high availability, reliability, and automation while leading technical solutions and cross-team collaboration.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

The Infrastructure Engineer designs and maintains distributed systems, writes backend services in TypeScript, and operates cloud infrastructure, ensuring reliability and scalability.

The Software Engineer will manage data collection for model training, improve cloud infrastructure on GCP, and collaborate with data scientists to enhance dataset quality and scale.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

Design, build, and maintain production infrastructure-as-code using Terraform. Create reusable modules, manage state/backends and large-scale workspaces, harden CI/CD pipelines, enforce policy-as-code, standardize multi-cloud delivery, and troubleshoot operational issues across environments.

Operate and scale GKE clusters, manage PostgreSQL/AlloyDB and Redis at scale, run GitOps CI/CD pipelines, develop Helm charts, implement OpenTelemetry observability, secure the platform with Cloudflare/Cloud Armor and secrets management, and build the GCP AI/ML infrastructure foundation to ensure 99.9%+ uptime and faster zero-downtime deployments.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Manage and improve Linux-based infrastructure and on‑prem Kubernetes clusters, automate workflows with Python/Bash and configuration management, build RPMs and repos, integrate CI/CD, diagnose system/network/container issues, implement hardened security, participate in on‑call rotation, and document platforms for maintainability.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

As an Infrastructure Engineer at Tempo, you'll build and manage infrastructure to enhance engineering efficiency and tackle challenges in the devops process.

The Senior Data Infrastructure Engineer designs and scales data platforms on AWS, optimizing performance, cost, and security while mentoring junior engineers.

The role involves architecting and implementing scalable microservices on Oracle Cloud Infrastructure, automating infrastructure, and managing high-performance systems.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

Senior individual contributor who defines multi-cloud infrastructure standards and reference architectures, authors reusable Terraform IaC, drives Kubernetes production patterns, leads CI/CD and observability practices, advises on security and cost optimization, mentors senior engineers, and shapes pre-sales technical solutioning across AWS, GCP, and Azure.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Own and improve AWS cloud environment, network connectivity, and internal IT operations. Implement IaC for client onboarding, harden network/security, monitor and remediate vulnerabilities, maintain HIPAA-compliant configurations, manage device enrollment/MDM and IAM, optimize cloud costs, automate infrastructure processes, and support engineering as the go-to cloud resource.

As a Senior Infrastructure Engineer, you'll design and build scalable cloud infrastructure for Stytch's identity platform, ensuring security and performance, while collaborating with teams to drive technical decisions and mentorship.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

The Infrastructure Engineer will build system-level software, focusing on distributed systems and OS level primitives while ensuring scalability and performance of services.