Intellectt Inc in Lisle, IL is seeking a skilled Cloud Infrastructure Engineer to design and maintain cloud infrastructure on Azure. The ideal candidate will have strong experience in Kubernetes, networking, and CI/CD pipelines using Azure DevOps. Responsibilities include managing Infrastructure as Code, ensuring secure deployments, and optimizing system performance. The role entails collaboration in a fast-paced environment, promoting best practices, and supporting application teams. This is a fantastic opportunity to be at the forefront of cloud technology.
Qualifications
Strong experience as a Cloud / Infrastructure Engineer, primarily in Microsoft Azure.
Hands-on experience with Kubernetes (AKS) and containerized workloads.
Strong understanding of networking, identity, access management, and cloud security principles.
Responsibilities
Design, build, and maintain cloud infrastructure and platform services on Azure.
Implement and manage Infrastructure as Code (IaC) using Terraform.
Support and optimize Azure Kubernetes Service clusters.
Skills
Cloud / Infrastructure Engineer
Kubernetes (AKS)
Networking and cloud security principles
CI/CD pipelines using Azure DevOps
Git and branching strategies
Performance and scalability design
Scripting and operational tooling
Agile delivery models
Job description
Job Title: Cloud Infrastructure Engineer
Location: Lisle, IL
Contract
Key Responsibilities
Design, build, and maintain cloud infrastructure and platform services on Azure supporting web and API-based applications.
Implement and manage Infrastructure as Code (IaC) using Terraform to deliver repeatable and compliant environments.
Support and optimize Azure Kubernetes Service clusters, including deployment, scaling, upgrades, and operational troubleshooting across multiple application environments (dev/test/prod).
Partner with application teams to ensure secure, performant, and scalable deployments, providing guidance on best practices.
Implement and enforce security, governance, and compliance controls across cloud environments.
Support CI/CD pipelines, enabling automated builds, deployments, and environment provisioning in Azure DevOps.
Manage and operate Argo CD.
Monitor system health, performance, and cost, proactively identifying risks and optimization opportunities using Prometheus and Grafana.
Lead and contribute to modernization efforts, including migrating legacy workloads to cloud-native architectures.
Troubleshoot complex infrastructure and deployment issues across lower and higher environments.
Participate in Agile ceremonies and collaborate effectively in a fast-paced, cross-functional team.
Maintain documentation and promote operational best practices that support long-term platform reliability.
Maintain and track certificates to ensure consistent website uptime and user experience. Along with other members of the team, provide support when production issues occur.
Required Skills & Experience
Strong experience as a Cloud / Infrastructure Engineer, primarily in Microsoft Azure.
Hands‑on experience with Kubernetes (AKS) and containerized workloads.
Strong understanding of networking, identity, access management, and cloud security principles.
Experience implementing and maintaining CI/CD pipelines using Azure DevOps or similar tools.
Proficiency with Git and branching strategies (e.g., GitFlow).
Experience supporting Web APIs and application platforms from an infrastructure and operational perspective.
Knowledge of performance, scalability, high availability, and disaster recovery design.
Experience with automation, scripting, and operational tooling.
Familiarity with Agile delivery models and DevSecOps/SRE practices.
Ability to work independently, prioritize effectively, and collaborate across teams.
Familiarity with React/.NET application stacks from a platform support perspective.
Nice to Have
Experience modernizing legacy applications to cloud-native architectures.
Experience with policy management (Azure Policy) and governance frameworks.
Exposure to monitoring and observability tools including Loki and OpenTelemetry.
Strong communication skills to translate infrastructure concepts to non‑infrastructure teams.
Experience implementing AI thoughtfully across platform engineering and application teams.