Platform Security Architect — Cloud Infrastructure

Groq, Inc.; Los Angeles (CA); Hybrid; USD 341,000 - 402,000; Full time

Job summary

Groq, Inc. seeks a Sr. Staff Platform Security Engineer to lead security architecture for our cloud infrastructure.

You will own identity, access, Kubernetes security, encryption, and multi-tenant controls across compute, network, and storage. You’ll build automated, production-grade security patterns and partner with Platform Engineering to scale safeguards as Groq’s AI platform grows. We value a strong software background (Go/Python), hands-on Kubernetes expertise, and the ability to

Qualifications

• 6+ years of software engineering experience in infrastructure or distributed systems.
• Strong cloud/platform security and Kubernetes experience.
• Experience with identity and access technologies (OIDC, SAML, RBAC, workload identity).

Responsibilities

• Set technical direction and own architecture for platform security.
• Design identity and access systems including authentication and federation.
• Build security capabilities for Kubernetes and distributed infra.
• Architect multi-tenant security controls across compute, network, storage.
• Own infrastructure lifecycle security and secrets management.
• Develop production software and automation for secure patterns.
• Communicate risks and tradeoffs to engineers and security leaders.
• Collaborate to align security with platform engineering standards.

Skills

Kubernetes security

Identity & access

Security architecture

Go

Python

Cloud security

Multi-tenant security

Threat modeling

Tools

Kubernetes

GitOps

IaC

Admission controllers

Job description

Groq, Inc. seeks a Sr. Staff Platform Security Engineer to lead security architecture for our cloud infrastructure.

You will own identity, access, Kubernetes security, encryption, and multi-tenant controls across compute, network, and storage. You’ll build automated, production-grade security patterns and partner with Platform Engineering to scale safeguards as Groq’s AI platform grows. We value a strong software background (Go/Python), hands-on Kubernetes expertise, and the ability to