Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-350к/год
$190к$220кмедиана$270к
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior SWE - Security Infrastructure (AI) (Python/Go/TypeScript, GCP/AWS): Building security infrastructure, human-in-the-loop systems, and data platforms that protect sensitive AI training and enterprise workflows with an accent on cloud security, access control, incident response, and AI-specific data flows. Focus on designing resilient systems from scratch, automating security operations, identifying vulnerabilities in code and architecture, and securing model interaction layers.
Location: San Francisco; on-site and in-person work required
Salary: $200K–$350K annually, plus equity and bonus
Company
hirify.global is an applied research lab building data solutions, human-in-the-loop platforms, and infrastructure for foundation model development and AI training.
What you will do
Build systems that detect and respond to security events across the technology stack.
Replace manual security workflows with scalable, programmatic solutions.
Strengthen cloud and production environments across GCP/AWS, containers, and networking.
Design and enforce access-control systems for internal teams, experts, and customers.
Integrate security checks into development workflows and own incident handling from detection through resolution.
Secure AI-specific data flows and model interaction layers while contributing to human-in-the-loop systems, core infrastructure, and internal tooling.
Requirements
2–7 years of experience building software or security systems.
Strong programming ability in Python, Go, or TypeScript.
Experience with cloud environments, including IAM, networking, and containers.
Ability to identify vulnerabilities directly in code and system design.
Experience creating or maintaining signal-based monitoring and alerting systems.
Ability to own production issues and move between security work and general engineering.
Experience building internal tools or systems that solve security problems rather than only configuring existing products.
Nice to have
Background in fast-scaling startups or high-output engineering teams.
Exposure to AI systems, data pipelines, or model evaluation workflows.
Familiarity with offensive security techniques.
Experience building tools used by other engineers.
Evidence of building and shipping systems from zero to production.
Culture & Benefits
Work in person with a technically strong team in San Francisco.
Medical, vision, and dental insurance.
401(k) with employer match.
Daily UberEats meal stipend and monthly wellness stipend.
Meaningful equity and opportunities to shape the engineering organization and lead major technical initiatives.
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