GL
Senior Cloud Infrastructure & Security Engineer
G82 labs pvt ltd
Chennai · On-site Full-time Senior Today
About the role
About
Lattice Systems is building a confidential AI inference platform. We are looking for a hands‑on engineer who understands both cloud infrastructure and security primitives to help design and build the control plane for a next‑generation AI platform.
Responsibilities
- Design secure control planes for AI infrastructure
- Build and manage identity & access systems (IAM / RBAC)
- Integrate key management systems (KMS / HSM‑backed workflows)
- Deploy and optimize load balancers and distributed services
- Architect secure communication between services (auth layers)
- Work with confidential computing environments (TEE‑based systems)
Requirements
- Strong experience in cloud platforms (AWS / GCP / Azure)
- Deep understanding of:
- Identity & Access Management (IAM)
- Role‑Based Access Control (RBAC)
- Key Management Systems (KMS, secrets management)
- Experience building or operating:
- Control planes / platform backends
- Distributed systems at scale
- Hands‑on coding experience (Go / Python / Rust)
- Solid understanding of networking, security, and system design
Bonus (Nice to Have)
- Experience with confidential computing (SGX, TDX, SEV)
- Exposure to GPU / ML infrastructure
- Background in applied cryptography or secure systems
Who You Are
- You build systems, not just design them
- You’ve worked on real production infrastructure
- You’re comfortable owning problems end‑to‑end
- You want to work on something technically hard and meaningful
Location
- Chennai
Requirements
- Strong experience in cloud platforms (AWS / GCP / Azure)
- Deep understanding of: Identity & Access Management (IAM), Role-Based Access Control (RBAC), Key Management Systems (KMS, secrets management)
- Experience building or operating: Control planes / platform backends, Distributed systems at scale
- Hands-on coding experience (Go / Python / Rust )
- Solid understanding of networking, security, and system design
Responsibilities
- Designing secure control planes for AI infrastructure
- Building and managing identity & access systems (IAM / RBAC)
- Integrating key management systems (KMS / HSM-backed workflows)
- Deploying and optimizing load balancers and distributed services
- Architecting secure communication between services (auth layers)
- Working with confidential computing environments (TEE-based systems)
Skills
AWSAzureGCPGo HSMIAMKMSPythonRBACRustSEVSGXTEETDX
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free