Senior Security Engineer

Covenant HR

San Francisco (CA)

Hybrid

USD 150,000 - 190,000

Full time

23 hours ago
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Job summary

Covenant HR is seeking a Security Engineer in San Francisco to help build and scale our security program from the ground up. This hybrid role requires a hands-on, high-ownership engineer who can partner with product, infrastructure, and engineering teams.

You will perform security reviews, threat modeling, secure SDLC improvements, cloud hardening, and AI/LLM security measures, with emphasis on scalable architecture and incident response in an AI-driven platform.

Qualifications

  • 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

  • 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

Skills

Hands-on Security Engineer experience
Cloud security & infrastructure
GCP preferred
AI/LLM security
Security program leadership

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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