Platform Engineer II

Job description

We are looking for an AI Engineer II (E2) to support the deployment, operation, and optimization of cloud-native infrastructure for AI and enterprise applications. The role focuses on implementing and maintaining Kubernetes-based platforms, automating operational tasks, supporting CI/CD processes, and assisting in ensuring the reliability, scalability, and security of cloud environments. The ideal candidate should have hands-on experience with Kubernetes, Docker, cloud platforms (AWS/Azure/GCP), Infrastructure as Code, and DevOps practices. Working under the guidance of senior engineers, you will contribute to platform operations, monitoring, troubleshooting, automation, and continuous improvement initiatives. Key Responsibilities Support the operation and maintenance of Kubernetes clusters (EKS/AKS/GKE/OpenShift) and AI platform workloads. Assist in deploying and managing applications using Helm charts across development, testing, and production environments. Support workload identity, secrets management, and access control using cloud-native services and enterprise standards. Assist in configuring and troubleshooting Kubernetes networking, ingress controllers, load balancers, DNS, and TLS certificates. Support storage management using CSI drivers, StorageClasses, and Persistent Volume Claims (PVCs). Contribute to Infrastructure as Code implementations using Terraform for cloud and platform resources. Assist in building and maintaining CI/CD pipelines for application deployment and operational automation. Follow established security and compliance standards, including RBAC, least-privilege access, and container security best practices. Monitor platform health, performance, logging, and alerting systems; assist in incident response and troubleshooting. Provide operational support for platform services such as PostgreSQL, OpenSearch, and identity management solutions. Document deployment procedures, troubleshooting guides, and operational runbooks. Collaborate with engineering, platform, and delivery teams to support customer and business requirements. Participate in automation and continuous improvement initiatives to enhance platform reliability and operational efficiency. Skill Requirements Containers & Orchestration Working experience with Docker and containerized applications. Hands-on experience with Kubernetes (EKS/AKS/GKE/OpenShift). Basic to intermediate experience with Helm chart deployments and configuration management. Cloud Platforms Hands-on experience with at least one cloud platform (AWS, Azure, or GCP). Understanding of cloud networking, IAM, storage, load balancing, and managed services. Kubernetes Platform Fundamentals Understanding of Kubernetes networking concepts, ingress, DNS, and TLS. Familiarity with StorageClasses, CSI drivers, and Persistent Volumes. Knowledge of RBAC, secrets management, and Kubernetes security fundamentals. Infrastructure as Code Experience working with Terraform to provision and manage cloud resources. CI/CD Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Understanding of automated build and deployment practices. Scripting & Operating Systems Basic proficiency in Python and Bash scripting. Linux administration and troubleshooting skills. Source Control Experience with Git and modern source-control workflows. Other Requirements Preferred Skills Exposure to multiple cloud platforms (AWS, Azure, GCP). Experience with OpenShift environments. Familiarity with monitoring tools such as Prometheus and Grafana. Exposure to service mesh technologies such as Istio or Linkerd. Understanding of DevSecOps practices, vulnerability management, and container security. Knowledge of Keycloak, OIDC, API gateways, or authentication platforms. Awareness of cloud cost optimization and FinOps principles. Experience supporting AI/ML or Generative AI workloads in cloud environments. Expected Outcomes Successfully support cloud and Kubernetes platform operations. Participate in infrastructure deployment and automation initiatives. Resolve operational issues with guidance from senior engineers. Maintain reliable, secure, and scalable cloud environments. Build technical expertise and progress toward independently owning platform components and projects. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. 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