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Contract - Cloud Infrastructure Engineer

Contract – Cloud Infrastructure EngineerRate: OpenLocation: Chicago, ILHybrid: 3 days onsite, 2 days remoteDuration: 6+ months*We are unable to provide sponsorship for this role*Qualifications3-5+ years of experience in the following:Infrastructure-as-Code using Terraform, AWS CloudFormation/Ansible; provisioning and managing cloud resources across AWS and Azure.Cloud-native container orchestration: Kubernetes (EKS preferred)/Rancher-k8s, including cluster operations, workload deployment, and project/namespace governance.CI/CD pipeline development using tools such as GitHub Actions, AWS CodePipeline, GitLab CI, or Azure DevOps Pipelines.2–3+ years of experience in the following:GitOps delivery patterns using ArgoCD or equivalent; managing declarative application state from git repositories.Secrets management and PKI: HashiCorp Vault configuration and operations / AWS KMS & Secrets Manager.1–3+ years of experience in the following:Observability and monitoring: Prometheus, Grafana, Elasticsearch, AWS CloudWatch/CloudTrail or equivalent enterprise logging and alerting tooling.Working knowledge of enterprise networking: ingress controllers (Traefik or equivalent), load balancers, security groups, and certificate-based authentication.Familiarity with GitHub Copilot or AI-assisted developer tooling integration within a CI/CD or developer environment context.Strong UNIX/Linux fundamentals; comfortable operating in terminal-first infrastructure environments.Experience working from a backlog in a planned work management tool (Jira or equivalent); ability to operate autonomously against a defined delivery roadmap.ResponsibilitiesMaintain and extend Infrastructure-as-Code (IaC) patterns using Terraform for both AWS and Azure environments within the Enterprise Lab Zone.Operate and evolve the Enterprise Lab management plane: EKS cluster configuration, GitLab CI/CD runners, ArgoCD deployments, Vault PKI, Traefik ingress, and AWS CodePipeline.Resolve outstanding Azure/Entra billing and governance issues; bring Azure under the same unified governance model as AWS.Maintain resource tagging compliance, cost visibility, and sandbox lifecycle controls (90%/100% cost thresholds) across both cloud providers.Build and populate the Architecture Pattern Catalog: approved IaC patterns enabling users to provision sandbox environments without manual OTSI Engineering intervention.Implement self-service cloud catalog to provision compute resources to sandbox environment(s).Instrument and validate the Deployment Time SLA — the time from session start to a provisioned environment — targeting a threshold that makes 1-hour and 1-day lease durations frictionless for end users.Contribute developer environment patterns to the catalog to expand the Enterprise Lab user base beyond infrastructure-only experiments.

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