Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает широкую ответственность за безопасность платформы и соответствие требованиям, но сочетание инженерных задач, реагирования на инциденты, аудитов и поддержки пользователей может привести к высокой нагрузке в стартапе.
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Широкая зона ответственностиСовременный стекИИ и вычисленияПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Security Engineer (Cloud Security/Compliance): Building and operating production security infrastructure for a global compute platform with an accent on automated security testing, cloud monitoring, compliance, and incident response. Focus on enforcing security through CI/CD and infrastructure-as-code, hardening cloud and Kubernetes environments, and translating technical risk into business terms.
Location: Remote, based in the U.S.A.; seldom travel may be required.
Company
hirify.global builds compute-power solutions including a mining pool, custom firmware, ASIC brokerage, hashrate derivatives, and compute infrastructure for CI and AI agents.
What you will do
Advise the platform engineering team on security requirements during sprint planning, architecture reviews, process discussions, product direction, design decisions, and implementation.
Build and maintain centralized automated security testing and enforcement across CI/CD, including SAST, DAST, SCA, secrets scanning, and IaC scanning.
Manage cloud vulnerability and configuration monitoring, integrating patching and hardening into engineering operations.
Audit application environments and development processes for compliance with internal and external requirements and security standards.
Implement cloud detection and response monitoring, serve as an incident CIRT responder, and enforce device-management policies and detections.
Document controls, configurations, and decisions to maintain durable institutional knowledge.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or equivalent practical experience.
8+ years of experience in DevOps, software engineering, or security engineering.
Proficiency with CI/CD platforms such as GitHub Actions, infrastructure-as-code tools such as Terraform, and configuration-management tools such as Ansible.
Proficiency in at least two of Go, JavaScript, Rust, and Python, plus strong Python or Bash scripting skills for automation and integration.
Hands-on cloud security experience in one or more of GCP, Alibaba, AWS, OVH, Hetzner, and Azure, including IAM, containerization, network security controls, encryption, logging, and monitoring.
Experience hardening access and controls, including IAM policies.
Hands-on experience with Kubernetes GitOps, such as Flux or ArgoCD.
Experience implementing automated application and infrastructure security testing, secrets management, and policy-as-code enforcement.
Familiarity with application penetration testing or experience conducting penetration-testing engagements.
Experience supporting third-party attestations and audits such as SOC 2 Type 2 and ISO 27001, including preparation, implementation, and ongoing evidence collection.
Experience operating and maintaining Zero Trust network infrastructure using Tailscale and Cloudflare WARP, including user support, access-policy management, and remote-connectivity troubleshooting.
Strong communication and governance skills, including translating technical risk for technical and non-technical audiences and advocating for security without slowing delivery.
Culture & Benefits
Fully remote work based in the U.S.A.
Seldom travel may be required.
Security and compliance function ownership with autonomy in a fast-growing startup environment.
AI tools may support CV, qualification, assignment, and interview transcription workflows; human hiring-team members make decisions.
Interview voice recordings are automatically deleted within 15 days, and candidates may request to opt out of AI-supported features.
Hiring process
AI may assist with reviewing CVs, qualifications, and assignments, while each application is evaluated by a member of the hiring team.
Interviews may be transcribed using AI, with recordings deleted within 15 days.
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