aiterraformawsgcpiamautomationinfrastructure as codecybersecuritydatabricksplatform engineering
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$221к-258к/год
$180к$210кмедиана$270к
По похожим ролям (50) ~ $210к/год
86
Хорошая вакансия
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Чётко описанная senior-позиция в известной технологической инвесткомпании с хорошей оплатой и актуальными задачами в AI, облаках и безопасности. Основные компромиссы - широкий круг задач и офис три дня в неделю.
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Широкий круг задачАктуальный стекХорошая оплатаИзвестная компанияОфисный график
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior IT & AI Platform Engineer (AI): Building and operating enterprise systems, AI applications, cloud infrastructure, and internal tools across a16z with an accent on secure deployments, privileged access, and reliable automation. Focus on orchestrating AI coding agents, managing AWS and GCP infrastructure, supporting Databricks and cloud AI services, and resolving complex production incidents.
Location: Hybrid role requiring in-office presence three days a week in San Francisco, California, or Menlo Park, California, United States
Salary: $221,000–$258,000 annual salary, plus eligible bonus, carry, and benefits
Company
hirify.global is a Silicon Valley venture capital firm investing in technology companies across AI, bio and healthcare, consumer, crypto, enterprise, fintech, games, and American dynamism.
What you will do
Build, deploy, and operate enterprise systems, AI applications, and cloud infrastructure.
Lead secure implementations of enterprise systems and emerging AI capabilities, from evaluation and testing through staged rollout and ongoing support.
Build automations, API integrations, and self-service workflows that reduce manual IT work.
Develop internal applications from prototypes through production, hardening, authentication, integrations, and support.
Build and operate AWS and GCP infrastructure and support Databricks workspaces, service principals, permissions, and monitoring.
Partner with Cybersecurity and business units on privileged access, incident response, root-cause analysis, documentation, and technical escalations.
Requirements
At least 8 years of experience in platform engineering, systems administration, cloud infrastructure, or IT engineering with production responsibility.
Advanced experience using AI workflows and applying AI to transform IT operations.
Experience deploying AI applications with enterprise systems and data, including SSO, provisioning, integrations, permissions, administrative controls, and staged rollouts.
Hands-on AWS and GCP experience covering IAM, networking, hosting, storage, logging, and infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
Experience administering Databricks and modern enterprise infrastructure such as Okta, Google Workspace, Slack, GitHub, Jamf, and Intune.
Ability to diagnose complex systems and infrastructure issues, make production changes safely, and balance security, reliability, cost, and user experience.
Culture & Benefits
Collaborative, high-empathy environment with a low-ego approach to problem solving.
Health, dental, vision, disability, and life insurance.
401(k) plan, vacation, and sick leave.
Eligibility for a carry program and discretionary bonus programs.
Focus on long-term relationships, initiative, teamwork, and high standards.
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