Cloud Engineer (AWS / GCP)

iEnergizer

Dadri

In loco

INR 11.628.000 - 17.442.000

Tempo pieno

12 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

iEnergizer is hiring a Cloud Engineer for a leading US-based financial services client. You will design, engineer and secure enterprise AWS and Google Cloud platforms, with a focus on production-ready AI workloads, auditable and secure at scale.

You will land zones, governance, IAM, networking and data protection, while building Terraform pipelines and GitOps workflows. You will mentor engineers and collaborate with Cloud, Security and Engineering teams across multi-cloud environments.

Competenze

  • 8+ years in cloud engineering, platform engineering or cloud architecture.
  • Deep expertise in AWS or GCP; hands-on provisioning and governance.

Mansioni

  • Design and evolve enterprise AWS/GCP platforms, landing zones and governance models.
  • Own multi-project and multi-cloud architecture and organisation hierarchy.
  • Architect security controls for AI platforms: data protection, API and model endpoint security, identity boundaries.
  • Lead network architecture: Shared VPC, Private Service Connect, VPN and Interconnect.
  • Harden ingress and egress paths; enforce segmentation and zero-trust principles.
  • Build and standardise Terraform infrastructure, CI/CD pipelines and GitOps workflows.
  • Implement IAM, VPC Service Controls, KMS and DLP; integrate with Wiz, SIEM and vulnerability tools.
  • Advise Cloud, Security and Engineering teams and mentor engineers.

Conoscenze

AWS
GCP
Terraform
CI/CD
IAM
Zero Trust
Cloud Security
Landing Zones
Cloud Networking
VPC

Formazione

GCP Professional Cloud Architect certification

Strumenti

Terraform
GitLab
Wiz
SIEM
DLP

Descrizione del lavoro

We are hiring a Cloud Engineer for a leading US-based financial services company. You will design, engineer and secure enterprise AWS and Google Cloud platforms, with a focus on making AI workloads production-ready, auditable and secure at scale. This includes landing zones, networking, identity, data protection and controlled access to services such as Bedrock, Vertex AI and Gemini.

Shift and work mode
  • US shift, aligned to Pacific Time (approx. 9:30 PM to 6:30 AM IST)
  • Full-time, work from office
What you will do
  • Design and evolve enterprise AWS/GCP platforms, landing zones and governance models
  • Own multi-project and multi-cloud architecture and organisation hierarchy
  • Architect security controls for AI platforms: PII/PCI data protection, API and model endpoint security, identity boundaries
  • Lead network architecture: Shared VPC, Private Service Connect, VPN and Interconnect
  • Harden ingress and egress paths; enforce segmentation and zero-trust principles
  • Build and standardise Terraform infrastructure, CI/CD pipelines and GitOps workflows
  • Implement IAM, VPC Service Controls, KMS and DLP; integrate with Wiz, SIEM and vulnerability tools
  • Advise Cloud, Security and Engineering teams and mentor engineers
What you need
  • 8+ years in cloud engineering, platform engineering or cloud architecture
  • Deep expertise in AWS or GCP
  • AWS/GCP networking: VPCs, Private Service Connect, hybrid connectivity
  • Landing zone design, governance and cloud security architecture
  • Hands-on Terraform and CI/CD (GitLab or similar)
  • Experience securing APIs, external endpoints and AI-integrated workloads
Good to have
  • Vertex AI, Gemini or other AI platforms, from a platform or security angle
  • AI security, model protection and data governance frameworks
  • Wiz, DLP, SIEM and CSPM tools
  • Multi-cloud experience (AWS preferred)
  • GCP Professional Cloud Architect or Security Engineer certification
Skills (10):

Amazon Web Services (AWS), Google Cloud Platform (GCP), Cloud Security, Terraform, Landing Zones, Cloud Networking, Identity and Access Management (IAM), CI/CD, Zero Trust, Vertex AI

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