Cloud Specialist
4 days ago
READ
CAREFULLY
(Minimum 2+ years of experience is needed)
Job Description:
Cloud / Infrastructure Engineer
Location
Chennai
⸻
About Us
We are building a Confidential AI Inference Platform — the trust and compliance layer for enterprise AI.
⸻
Role Overview
We are hiring a Cloud / Infrastructure Engineer to design and scale the hybrid cloud foundation of our inference platform.
You will ensure that enterprises can deploy our product on AWS/GCP/Azure, hybrid, or on-prem, while meeting compliance, observability, and security standards.
⸻
Responsibilit
ie
s
• Architect and deploy hybrid infrastructure for confidential AI inference:
• Cloud VPCs (AWS Nitro Enclaves, Azure Confidential VMs, GCP Confidential VMs).
• Build Kubernetes-based orchestration with strong isolation (gVisor, Kata Containers).
• Implement policy-as-code for compliance (data residency, HIPAA/GDPR enforcement).
• Integrate enterprise key management systems: AWS KMS, Azure Key Vault, HashiCorp Vault.
• Own CI/CD pipelines (secure builds, code signing, image attestation).
• Implement observability stack: metrics (Prometheus/Grafana), logging (ELK/Fluentd), security monitoring (Falco, SIEM integration).
• Work with compliance team to map infra controls to SOC 2, ISO 27001, GDPR requirements.
• Harden infrastructure against insider threats, privilege escalation, and misconfigurations
.⸻
Requirements (Technical Qualificatio
ns)
• Deep expertise in cloud infrastructure
.
• AWS (Nitro Enclaves, EKS, KMS)
.
• Azure (Confidential VMs, AKS, Key Vault).
• GCP (Confidential VMs, GKE, KMS).
• Strong knowledge of Kubernetes, containers, and networking.
• Experience with IaC (Infrastructure as Code)
:
• DevSecOps mindset: CI/CD pipelines with security checks (SAST, DAST, image scanning).
• Proficiency in Linux systems administration, networking, and storage.
• Familiarity with compliance frameworks: SOC 2, ISO 27001, GDPR.
• Strong background in cloud security: IAM, RBAC/ABAC, encryption, secrets management
.⸻
Nice-to-Hav
e
• Experience deploying GPU clusters for ML inference.
• Exposure to confidential computing hardware (Intel SGX/TDX, AMD SEV-SNP, NVIDIA H100 TEEs).
• Contributions to cloud-native projects (CNCF ecosystem, open-source infra tools).
•
Background in enterprise infra for regulated industries (finance/healthcare)
.⸻
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