Job Overview
Explore DevOps Engineer Jobs in Chicago for professionals with 2 to 8 years of experience in Cloud Infrastructure, CI/CD, Infrastructure as Code, Kubernetes, Docker, Linux, automation, monitoring, and production operations.
This opportunity is suited to DevOps professionals who can build reliable deployment pipelines, automate cloud infrastructure, manage containerized workloads, improve application availability, and support secure, scalable production environments.
Candidates with hands-on expertise in AWS, Microsoft Azure, Google Cloud Platform (GCP), Kubernetes, Terraform, Jenkins, GitHub Actions, Docker, Ansible, Linux, Python, Bash, Prometheus, Grafana, and DevSecOps will be well positioned for these roles.
Depending on experience, engineers may contribute to infrastructure automation and deployment activities or take ownership of cloud architecture, Kubernetes platforms, Site Reliability Engineering (SRE), observability, security automation, and enterprise DevOps transformation initiatives.
Job Title
Position: DevOps Engineer / Senior DevOps Engineer / Cloud DevOps Engineer
Location: Chicago, Illinois, USA
Experience: 2–8 Years
Employment Type: Full-Time / Permanent / Contract Opportunities
Work Model: On-site / Hybrid / Remote, depending on the opportunity
Department: Cloud Engineering / DevOps / Platform Engineering
Career Level: Associate to Senior Level
Roles & Responsibilities
- Design, implement, maintain, and optimize scalable DevOps and Cloud Infrastructure environments.
- Build and manage automated Continuous Integration and Continuous Deployment (CI/CD) pipelines.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, CloudFormation, or similar Infrastructure as Code technologies.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Manage cloud infrastructure across AWS, Microsoft Azure, or Google Cloud Platform.
- Configure and maintain Kubernetes clusters, workloads, services, ingress, autoscaling, secrets, and deployment strategies.
- Build CI/CD workflows using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or AWS CodePipeline.
- Automate repetitive infrastructure and operational tasks using Python, Bash, Shell scripting, or PowerShell.
- Manage Linux-based servers and troubleshoot operating system, network, storage, and application-level issues.
- Implement centralized logging, monitoring, alerting, and observability using Prometheus, Grafana, ELK/Elastic Stack, Splunk, CloudWatch, or Datadog.
- Improve infrastructure availability, scalability, performance, reliability, and cost efficiency.
- Implement secure management of credentials, API keys, certificates, secrets, and infrastructure access.
- Integrate security scanning and compliance checks within CI/CD pipelines following DevSecOps principles.
- Manage source control, branching strategies, pull requests, code reviews, and release processes using Git-based platforms.
- Implement automated deployment strategies including rolling deployments, blue-green deployments, and canary releases.
- Monitor production environments and proactively identify performance or reliability issues.
- Participate in incident response, troubleshooting, root-cause analysis, and post-incident reviews.
- Define infrastructure backup, disaster recovery, high availability, and business continuity practices.
- Collaborate with software developers, cloud architects, security engineers, QA teams, SRE teams, and infrastructure professionals.
- Maintain technical documentation, deployment procedures, architecture diagrams, and operational runbooks.
- Senior engineers may lead DevOps architecture decisions, cloud migration projects, Kubernetes platform initiatives, and infrastructure modernization programs.
Technical Skill Set
| Technology Area | Required / Relevant Skills |
|---|---|
| Cloud Platforms | AWS, Microsoft Azure, Google Cloud Platform (GCP) |
| AWS Services | EC2, S3, IAM, VPC, EKS, ECS, RDS, Lambda, CloudWatch, Route 53 |
| Azure Services | Azure VMs, AKS, Azure DevOps, Azure Monitor, Azure Functions |
| Containers | Docker, Kubernetes, Helm |
| Infrastructure as Code | Terraform, AWS CloudFormation |
| Configuration Management | Ansible, Puppet, Chef |
| CI/CD | Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline |
| Operating Systems | Linux, Ubuntu, RHEL, Unix |
| Scripting | Python, Bash, Shell Scripting, PowerShell |
| Version Control | Git, GitHub, GitLab, Bitbucket |
| Monitoring | Prometheus, Grafana, Datadog, CloudWatch |
| Logging | ELK Stack, Elasticsearch, Logstash, Kibana, Splunk |
| DevSecOps | SonarQube, SAST, DAST, Dependency Scanning, Secrets Management |
| Networking | DNS, TCP/IP, HTTP/HTTPS, Load Balancing, VPN, Firewalls |
| Security | IAM, RBAC, SSL/TLS, Secrets Management, HashiCorp Vault |
| Databases | MySQL, PostgreSQL, MongoDB, Redis |
| Architecture | Microservices, Cloud-Native Architecture, Distributed Systems |
| Reliability | SRE, Observability, Incident Management, High Availability |
| Artifact Management | Nexus, JFrog Artifactory |
| Agile Tools | Jira, Confluence |
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, or a related technical discipline, or equivalent practical experience.
- 2 to 8 years of relevant experience in DevOps, Cloud Engineering, Infrastructure Engineering, Platform Engineering, or Site Reliability Engineering.
- Strong hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
- Practical experience building and maintaining CI/CD pipelines.
- Hands-on knowledge of Docker and Kubernetes for containerized application deployment.
- Experience implementing Infrastructure as Code using Terraform, CloudFormation, or equivalent technologies.
- Strong Linux administration and troubleshooting skills.
- Experience with Git-based source control and collaborative development workflows.
- Working knowledge of scripting using Python, Bash, Shell, or PowerShell.
- Understanding of cloud networking, IAM, DNS, load balancing, firewalls, and security fundamentals.
- Experience monitoring production infrastructure and troubleshooting application or infrastructure incidents.
- Understanding of scalable, highly available, fault-tolerant cloud architecture.
- Ability to work with development and infrastructure teams throughout the software delivery lifecycle.
Preferred Qualifications
- Advanced hands-on experience with AWS EKS, Azure AKS, or Google Kubernetes Engine (GKE).
- Experience managing enterprise Kubernetes environments and Helm-based deployments.
- Strong knowledge of Terraform modules, remote state management, reusable infrastructure components, and IaC best practices.
- Experience with GitOps platforms such as Argo CD or Flux.
- Knowledge of Site Reliability Engineering practices, including SLIs, SLOs, error budgets, observability, and incident management.
- Experience implementing enterprise DevSecOps pipelines.
- Knowledge of cloud security, IAM, RBAC, secrets management, vulnerability scanning, and compliance controls.
- Experience with microservices and distributed cloud-native applications.
- Knowledge of serverless technologies such as AWS Lambda or Azure Functions.
- Experience with Prometheus, Grafana, Datadog, Splunk, or enterprise observability platforms.
- Experience supporting high-availability and business-critical production systems.
- Cloud or DevOps certifications such as AWS Certified DevOps Engineer, AWS Solutions Architect, Microsoft Certified: DevOps Engineer Expert, CKA, CKAD, or Terraform Associate are advantageous.
Desired Soft Skills
- Strong analytical and technical problem-solving ability.
- Excellent troubleshooting and root-cause analysis skills.
- Ability to collaborate effectively across development, infrastructure, security, and QA teams.
- Strong verbal and written communication skills.
- Ability to manage multiple priorities in dynamic production environments.
- Strong ownership and accountability for infrastructure reliability.
- Attention to detail when managing deployments, configurations, and security controls.
- Ability to automate repetitive processes rather than rely on manual operations.
- Willingness to continuously learn new cloud and DevOps technologies.
- Ability to participate effectively in incident management and production support.
- Strong documentation and knowledge-sharing skills.
- Leadership and mentoring capabilities for senior-level positions.
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