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Tata Consultancy Services Linkedin · Posted 15d ago

Cloud Infrastructure Lead

Bangkok

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Indexed description

About TCS:

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.



Position Overview


We are seeking a Cloud Infrastructure Lead with 10–15 years of experience to design, build, and manage enterprise-grade cloud infrastructure. The candidate will own cloud architecture, drive FinOps cost optimization, and enforce security and compliance. Experience supporting AI/ML workloads on cloud is a strong advantage


Qualifications & Skills

Cloud Architecture & Engineering

  • Expert in AWS and/or Azure; GCP is a plus. Experience with multi-region and hybrid cloud environments
  • Infrastructure as Code (IaC): Terraform, AWS CloudFormation, or Azure Bicep
  • Containerization and orchestration: Docker, Kubernetes (EKS/AKS/GKE)
  • CI/CD pipelines, monitoring tools (Datadog, CloudWatch, Azure Monitor), and GitOps practices


Networking, Security & FinOps

  • Deep cloud networking: VPC/VNet, routing, load balancing, VPN/ExpressRoute, zero-trust IAM
  • Cloud security: RBAC, encryption, secrets management, WAF, DDoS protection, compliance (ISO 27001/SOC 2)
  • FinOps: cloud cost governance, rightsizing, reserved instances, tagging strategy, AWS Cost Explorer / Azure Cost Management


AI Project Experience (Preferred)

  • Cloud infra for AI/ML: GPU instances, SageMaker, Azure ML, GCP Vertex A
  • IMLOps infrastructure: model serving, CI/CD for ML pipelines, feature store, data lak



Key Responsibilities

Define Cloud Architecture

  • Own cloud architecture standards, landing zone design, and account governance frameworks
  • Lead cloud migration planning and collaborate with app teams for cloud-native workload design

Manage Cost (FinOps)

  • Establish cost governance policies, monitor cloud spend, and deliver optimization recommendations
  • Drive FinOps culture across engineering teams balancing speed, quality, and cost


Ensure Security & Compliance

  • Define and enforce cloud security policies, IAM governance, and posture management across all environments
  • Maintain disaster recovery (DR) and business continuity plans; ensure regular DR testing
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