Job Description We are seeking a hands-on Cloud & AI Platform Engineer to help build and operate a secure, reusable, multi-cloud infrastructure platform for application development teams. This role will focus on foundational infrastructure, automation, Kubernetes, platform operations, and secure deployment patterns across Azure, AWS, on-premises data centers, and Oracle Fusion Cloud ERP. This is an infrastructure and platform engineering role, not an application development position. The ideal candidate will be comfortable owning platform capabilities, operationalizing automation, advancing Kubernetes adoption, supporting AI infrastructure needs, and enabling internal engineering teams through standards, reusable patterns, and knowledge transfer. Key Responsibilities

•  Build, operate, and improve secure, reusable infrastructure across Azure, AWS, on-premises data centers, and Oracle environments.
•  Support application teams by enabling internal system connectivity, GitHub-based source control, and standardized deployment pipelines.
•  Accelerate migration of internal applications from VMware to Kubernetes-based containerization, supporting workload portability across cloud and on-premises environments.
•  Extend and enhance Terraform, Ansible, and related automation to support broader developer adoption of the platform and Kubernetes deployment model.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 7+ years of Cloud Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering experience 5+ years of hands-on experience with Azure and/or AWS cloud platforms, including networking, security, IAM, and infrastructure services 3+ years of production experience supporting and automating Kubernetes environments (AKS, EKS, OpenShift, or similar) 4+ years of Infrastructure-as-Code experience using Terraform and/or Ansible 3+ years building and supporting CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools Experience designing and implementing cloud foundations, including landing zones, shared services, network architecture, and security best practices Experience migrating or modernizing workloads from traditional infrastructure (VMware/VM-based environments) to containerized platforms Experience developing automation frameworks and self-service infrastructure capabilities Experience supporting multi-cloud and hybrid cloud environments Experience with Oracle Cloud Infrastructure (OCI) or Oracle-hosted environments Experience implementing or managing AKS and/or EKS at enterprise scale Experience integrating infrastructure provisioning with ServiceNow workflows Experience with Microsoft Copilot, Azure OpenAI, Bedrock, or other enterprise AI platforms Experience supporting GPU-enabled workloads, AI infrastructure, or hybrid AI platforms