working closely with the cloud platform team to ensure the cloud infrastructure setup follows Ørsted best practices, security compliance, and governance guidelines
build, operate, and optimize cloud infrastructure in Azure and AWS
managing and optimizing a secure, scalable cloud data ecosystem by developing Infrastructure as Code with Terraform, operating multi-cloud Kubernetes clusters, and enhancing CI/CD pipelines to support DevSecOps adoption and operational excellence
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The Tanzu Engineer will be responsible for designing, deploying, and maintaining VMware Tanzu‑based container platforms across the insurance organization. This role requires strong hands‑on experience with Kubernetes, Tanzu Kubernetes Grid (TKG), Tanzu Mission Control (TMC), Tanzu Application Platform (TAP), and automation tooling. The engineer will collaborate with Cloud, DevOps, Security, and Application teams to deliver secure, scalable, and compliant container platforms aligned with insurance regulatory and operational requirements.
On-Site Client Deployment: Work directly at the client’s designated location in KL City Centre to execute cloud infrastructure projects, deliver system integration, and manage technical client requirements.
Cloud Infrastructure Provisioning: Design, deploy, and maintain secure, highly available cloud environments (AWS, Azure, or GCP) aligned with client security and operational policies.
Automation & IaC: Write and manage clean Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Bicep to automate provisioning and minimize manual configuration.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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