Groq
Sr. Staff Platform Security Engineer, Cloud Infrastructure
San Francisco, USA · Staff+
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DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.
- Architect security controls and isolation mechanisms for multi-tenant systems across compute, network, storage, and control-plane boundaries.
Responsibilities
- Set technical direction and own the architecture for critical platform security capabilities across identity, authorization, infrastructure security, encryption, key management, and auditability.
- Design and build identity and access systems spanning authentication, federation, authorization, workload identity, lifecycle provisioning, and administrative access.
- Build and scale security capabilities for Kubernetes and other distributed infrastructure using software, policy, automation, APIs, controllers, Infrastructure-as-Code, and GitOps.
- Own infrastructure lifecycle security, including secure provisioning, secrets and credential management, encryption, and certificate lifecycle.
- Build production software and automation that make secure infrastructure patterns reliable, scalable, and easy for engineering teams to adopt.
- Lead security-sensitive platform designs and changes, translating complex risks and requirements into practical engineering decisions and scalable platform capabilities.
- Shape security architecture and technical standards across Platform Engineering, influencing designs beyond the systems you directly own.
- Partner across engineering and security to build capabilities that strengthen customer trust, platform reliability, and support compliance requirements.
- 6+ years of software engineering experience building complex infrastructure or distributed systems, with deep experience in cloud and platform security, identity and access, Kubernetes, or related infrastructure security domains.
- Strong software engineering skills in Go, Python, or similar languages, with experience designing, building, and operating production systems.
Requirements
- The person hired for this role must be based in one of these three areas.
- Deep experience with identity and access technologies such as OIDC, SAML, SCIM, RBAC, workload identity, short-lived credentials, and multi-factor authentication.
- Strong understanding of secrets management, encryption, key management, certificate lifecycle, and secure credential management.
- Experience with network policy and encryption or security for high-performance storage and distributed infrastructure is valuable.
Compensation
- Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay.
- The total cash salary range for this position, which is inclusive of the potential bonus value, is $341,400 - $401,600, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards.
- Compensation for international candidates will vary based on local market dynamics.
- Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits. #LI-MS1
Benefits
- Compensation: Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay.
- Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits. #LI-MS1
Company info
- Our mission fuels everything we do.
Visa & Work Authorization
- export control laws and regulations, including the Export Administration Regulations (EAR)
This listing is sourced directly from Groq's careers page and normalized into a canonical job model.