Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$132к-186к/год
$150к$180кмедиана$200к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $3.3к/мес ($2.9к - $4.2к)
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Хорошая вакансия
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Company hidden предлагает понятную senior-позицию, хорошие льготы и практическую работу с корпоративным AI, но зарплата ниже медианы рынка, а роль совмещает эксплуатацию SaaS с руководством командой.
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Ниже рынкаШирокая зона ответственностиAI в IT-операцияхХороший пакет льгот
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior SaaS Operations Engineer (AI): Designing and operating secure, highly available enterprise IT systems and AI platforms with an accent on identity integration, access controls, automation, and data governance. Focus on leading engineering teams, mitigating vulnerabilities and performance bottlenecks, and building AI-assisted workflows for enterprise operations.
Location: Remote within the US, or hybrid from San Francisco, New York, or Denver; availability during core business hours is required.
Salary: $132,060–$186,444 per year, with potential equity and discretionary bonus eligibility.
Company
hirify.global provides an edge cloud platform for processing, serving, and securing customer applications close to end users.
What you will do
Design, implement, maintain, and troubleshoot complex information systems with high availability, security, and performance.
Identify vulnerabilities and performance bottlenecks, and establish scalable engineering practices.
Lead and mentor engineers while collaborating with product, security, legal, and other cross-functional teams.
Administer enterprise AI platforms including Claude, OpenAI, and Gemini, covering SSO, SCIM, access controls, and license management.
Review AI connectors and integrations using least-privilege and data-governance principles.
Build AI-assisted automations, maintain system documentation and AI usage guidelines, and research new technologies.
Requirements
10+ years of IT support experience, including 5+ years in a senior or lead engineering position.
Deep understanding of system architecture, design patterns, and engineering best practices.
Experience leading and mentoring engineering teams.
Advanced experience with Okta and cloud-based IT environments such as Google Workspace, Zoom, Slack, GitHub, and Atlassian.
Hands-on administration or deployment of enterprise AI tools, including identity integration and data-handling controls.
Experience with system administration automation and scripting, plus strong communication and data-driven decision-making skills.
Nice to have
Infrastructure-as-code experience with Terraform or Ansible.
Experience building with Claude, OpenAI, or Gemini APIs, including agents, MCP servers, or prompt engineering.
Experience establishing AI governance practices and acceptable-use policies.
Relevant certifications such as Okta Certified Professional or Google Cloud Professional Cloud Architect.
Culture & Benefits
Hybrid work model with flexibility to work from the office or home.
Medical, dental, and vision insurance, plus family planning and mental health support.
Life, disability, accident, and employee assistance program coverage.
Flexible vacation, up to 18 days of accrued paid sick leave, paid holidays, and wellness days.
401(k) with company match and an Employee Stock Purchase Program.
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