Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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(Minimum 2+ years of experience is needed)



📍 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

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

• 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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