aipythonterraformsecurity engineeringcloud securityendpoint securityzero trustidentity and access managementsaas securitydata loss prevention
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$180к-240к/год
$180к$200кмедиана$260к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $5.5к/мес ($3.7к - $12к)
95
Крутая вакансия
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Первоклассная возможность с зарплатой выше рынка и фокусом на передовую AI-безопасность в значимой сфере Healthtech.
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Широкий охватВысокая зарплатаПередовой стекТрендовый доменПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Corporate Security Engineer (AI): Designing, building, and operating enterprise security controls across identity, endpoints, SaaS platforms, cloud services, data protection, and AI-enabled workflows with an accent on Zero Trust, detection engineering, automation, and regulated healthcare security. Focus on securing sensitive healthcare data, operationalizing controls for LLM platforms, improving incident response, and translating HIPAA, SOC 2, NIST, and ISO 27001 requirements into reliable engineering solutions.
Location: Remote, United States; in-office work is also available.
Total target base compensation: $180,000–$240,000 per year at the commencement of employment; the final amount depends on location, experience, leveling, expertise, internal pay equity, and other business considerations.
Company
hirify.global provides personalized virtual behavioral healthcare for people navigating mental health conditions, substance use disorders, and eating disorders.
What you will do
Design, build, and operate technical security controls across corporate technology, workforce systems, endpoints, SaaS platforms, cloud-connected services, and internal systems.
Improve identity and access management, MFA, conditional access, device trust, least privilege, privileged access, lifecycle automation, and Zero Trust controls.
Strengthen endpoint, SaaS, cloud, MDM, EDR, vulnerability management, and security telemetry capabilities across enterprise platforms.
Build detections, dashboards, runbooks, response workflows, and repeatable playbooks for identity, endpoint, SaaS, email, cloud, data exposure, and corporate security events.
Secure enterprise AI tools, LLM platforms, AI agents, and AI-enabled workflows, including data protection, prompt-layer security, access governance, logging, and usage monitoring.
Operate DLP, security automation, audit evidence, control monitoring, and compliance enablement aligned with applicable risk and regulatory requirements.
Requirements
5+ years of experience in security engineering, corporate security, infrastructure security, enterprise security, IT security, cloud security, or a related technical discipline.
Deep hands-on experience designing, building, and operating technical security controls in enterprise environments, including identity, endpoints, SaaS platforms, collaboration tools, cloud-connected services, and internal systems.
Strong IAM experience with MFA, conditional access, privileged access, lifecycle automation, service accounts, and least privilege.
Experience with MDR, EDR, SIEM, cloud security, endpoint management, vulnerability management, or DLP tools; experience with platforms such as Expel MDR, SentinelOne, Wiz, CloudTrail, Sumo Logic, or similar tools.
Experience with endpoint security, MDM, secure configuration management, and vulnerability remediation across Mac, Windows, or mobile environments.
Experience using scripting, APIs, or automation tools such as Python, Bash, PowerShell, Workato, Terraform, REST APIs, webhooks, or JSON.
Familiarity with detection engineering, alert tuning, incident response workflows, security operations, Zero Trust, identity-centric security, device trust, and secure system design.
Ability to work cross-functionally with IT, Security, Engineering, Compliance, and business stakeholders, with strong documentation, ownership, judgment, and independence in ambiguous environments.
Nice to have
Staff Engineer or senior technical leadership experience.
Experience in healthcare, financial services, or other regulated environments, including HIPAA, SOC 2, NIST, ISO 27001, or similar frameworks.
Experience securing enterprise AI tools, LLM platforms, AI agents, or AI-enabled workflows; exposure to OpenAI, Anthropic, LiteLLM, Prompt Security, Pillar, or similar technologies.
Experience with DLP, CASB, SSPM, browser security, SaaS posture management, or data discovery tools.
Experience securing Google Workspace, Okta, Jamf, Microsoft Intune, GitHub, Slack, Atlassian, AWS, or similar enterprise platforms.
Experience with REST APIs, webhooks, JSON, service accounts, API authentication patterns, managed security providers, MDR teams, external auditors, or compliance teams.
Familiarity with AI security risks including sensitive data exposure, prompt injection, model access control, third-party plugin risk, and AI system logging.
Culture & Benefits
Full-time employees receive comprehensive benefits, including hirify.global-sponsored benefits and potential stock options depending on the position.
Security is treated as an engineering discipline focused on ownership, measurable outcomes, automation, reliability, secure-by-design implementation, and continuous improvement.
The role supports hirify.global's mission to expand access to personalized behavioral healthcare and protect sensitive company, employee, clinician, and patient data.
Core values include connection, evidence-based curiosity, urgency, and persistence.
hirify.global is an equal opportunity employer and assesses applicants solely on their qualifications.
Hiring process
Apply through hirify.global's official Careers Page; legitimate recruiting communications come from @charliehealth.com addresses.
hirify.global will not request application fees, software downloads, or personal banking information before a signed offer and completed onboarding paperwork.
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