C

Senior Security Engineer - AI/Cloud Security

covenant hr United State
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AI Summary

Build and scale a security program for a fast-growing AI company. Engineer robust cloud and AI security controls from the ground up. Drive secure SDLC, threat modeling, and incident response in a high-ambiguity startup environment.

Key Highlights
3–8 years of hands-on Security Engineering experience
Deep expertise in cloud security (GCP preferred) and AI/LLM security risks
High-ownership role in a fast-growing, VC-backed startup
Key Responsibilities
Build and scale the security program from the ground up in a hands-on engineering role
Perform security reviews and threat modeling across an AI-powered platform
Build and continuously improve secure SDLC, detection, and response processes
Harden cloud, application, and supporting infrastructure against emerging threats
Identify, prioritize, and drive remediation of high-impact security risks
Design security controls and protections for AI agents and LLM-based systems
Partner closely with product, infrastructure, and engineering teams to embed security throughout the development lifecycle
Help establish scalable security architecture and engineering practices as the organization grows
Support SOC 2 initiatives and enterprise customer security requirements
Communicate security risks, tradeoffs, and technical decisions effectively to engineering and executive audiences
Operate independently in a fast-moving, high-ambiguity startup environment with significant individual ownership
Technical Skills Required
Cloud Security AI/LLM Security Incident Response
Benefits & Perks
Hybrid work (3 days onsite in San Francisco)

Job Description


Company - Fast-growing, VC-backed applied AI company building AI-powered technology.


Job Title - Security Engineer

Location - Hybrid in San Francisco, CA — 3 days per week onsite

Role Type - Direct Hire


(H1B Transfers, OPT candidates are also considered)


Must Have Skills:

  • 3–8 years of hands-on experience specifically in a dedicated Security Engineer role
  • Deep infrastructure/cloud security expertise, including cloud hardening, threat modeling, incident response, security architecture, detection/response, and secure SDLC; GCP preferred, with AWS or Azure acceptable
  • Proven experience building or scaling security infrastructure and programs from the ground up, ideally within an early-stage or high-growth startup environment
  • Hands-on AI/LLM security experience, including prompt injection, guardrails, data exposure, AI abuse, or related AI security risks
  • High-ownership, independent operator with strong communication skills and demonstrated career progression/increasing scope


Responsibilities and Job Details:

  • Help build and scale our client’s security program from the ground up in a highly hands-on engineering role
  • Perform security reviews and threat modeling across an AI-powered platform
  • Build and continuously improve secure SDLC, detection, and response processes
  • Harden cloud, application, and supporting infrastructure against emerging threats
  • Identify, prioritize, and drive remediation of high-impact security risks
  • Design security controls and protections for AI agents and LLM-based systems
  • Partner closely with product, infrastructure, and engineering teams to embed security throughout the development lifecycle
  • Help establish scalable security architecture and engineering practices as the organization grows
  • Support SOC 2 initiatives and enterprise customer security requirements
  • Communicate security risks, tradeoffs, and technical decisions effectively to both engineering and executive audiences
  • Operate independently in a fast-moving, high-ambiguity startup environment with significant individual ownership



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