Top Infrastructure Engineer Jobs in Chicago, IL

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Design, operate, and evolve production GCP infrastructure, including GKE clusters, networking, IAM, shared services, and Terraform automation. Troubleshoot complex Kubernetes, Linux, networking, DNS, and distributed-systems issues; improve observability, security, scalability, reliability, and cost efficiency. Lead upgrades, migrations, architecture improvements, technical reviews, and mentorship while partnering with Platform Engineering, SRE, and Security teams.

Designs and governs enterprise Infrastructure-as-Code and configuration management frameworks. Develops Ansible and Salt automation for infrastructure provisioning, patching, compliance, configuration drift management, and lifecycle operations across hybrid environments. Integrates automation with CI/CD pipelines, source control, cloud platforms, and DevOps toolchains. Troubleshoots platforms, establishes governance and audit controls, and mentors engineers on automation best practices.

Designs, deploys, migrates, secures, and operates production Azure infrastructure across hybrid VMware and Windows environments. Responsibilities include Azure networking, platform services, disaster recovery, migrations, Terraform automation, Azure DevOps pipelines, identity and governance, monitoring, cost management, troubleshooting, and compliance. The engineer supports application platforms including AKS, App Services, databases, and integrations while participating in incident response, change management, on-call duties, and occasional after-hours cutovers.

Build, automate, and operate scalable AWS infrastructure, including networking, compute, CI/CD, databases, and observability. Develop internal tools and self-service platforms, manage infrastructure with Terraform, collaborate with engineering teams, participate in on-call rotations, and replace repetitive operational work with software and permanent incident fixes.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Designs, engineers, and supports secure, scalable Microsoft Azure infrastructure. Leads cloud network, identity, data protection, security, and modernization decisions while using Infrastructure-as-Code and cloud governance practices. Partners with engineering and security teams to deliver reliable, resilient, and cost-efficient environments. Responsibilities include IAM and RBAC, troubleshooting, root cause analysis, documentation, architecture diagramming, and evaluating emerging AI platforms and integrations.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Build and operate resilient cloud infrastructure for Venmo’s Business Continuity team. Responsibilities include chaos engineering, disaster recovery automation, backup and restore tooling, incident game days, infrastructure-as-code, incident troubleshooting, resilience metrics, SLOs, and recovery objectives. The role mentors engineers, coordinates technical initiatives, and supports globally scaled AWS services across the full software development lifecycle.

Owns the design, administration, security, modernization, and recovery of Liquidia’s hybrid IT infrastructure across Azure, servers, virtualization, storage, and enterprise networks. Provides hands-on engineering, roadmap development, disaster recovery, patching, automation, vendor direction, documentation, and onsite support for manufacturing and laboratory systems. Ensures infrastructure complies with SOX, GxP, and 21 CFR Part 11 requirements while coordinating qualification, validation, change control, and infrastructure improvement initiatives.

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Own and improve the production Linux infrastructure, including performance tuning, incident response, configuration management, container orchestration, networking, proxies, virtualization, secrets, observability, and data services. Build automation in Bash and Python, maintain infrastructure code through Git and peer review, troubleshoot complex system issues, write postmortems and runbooks, and support scalable, reliable systems in a regulated fintech environment.

Build and operate infrastructure and shared engineering services for internal teams and Tailscale’s product. Responsibilities include improving observability, CI/CD, cloud infrastructure, managed services, Kubernetes, and service automation; designing, testing, and documenting software components; participating in incident response; supporting customer escalations; and improving system efficiency, scalability, and stability.

Leads the design, operation, modernization, and automation of resilient Oracle and Exadata database platforms across on-premises and AWS environments. Builds infrastructure-as-code using Terraform, Ansible, CloudFormation, Python, and APIs; improves reliability, observability, security, and operational efficiency. Leads troubleshooting, migrations, performance optimization, and technical initiatives while establishing engineering standards and mentoring staff. Applies AI responsibly to coding, analysis, testing, incident investigation, and infrastructure operations.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.

Leads the infrastructure and backend engineering function supporting mobile games, analytics systems, internal products, APIs, and web services. Owns AWS architecture, reliability, security, monitoring, automation, CI/CD, cost optimization, Snowflake data infrastructure, high-volume event pipelines, backend services, game servers, and technical roadmaps. Provides hands-on architecture, implementation, code review, technical leadership, cross-functional collaboration, and end-to-end project ownership.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.