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2 дня назад

Platform Deployment Architect (AI)

230 000 - 390 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Platform Deployment Architect (AI): Own the end-to-end lifecycle of customer deployments for hirify.global’s AI platform with an accent on architecting infrastructure across enterprise environments. Focus on designing deployment strategies, managing upgrades and scaling, and establishing scalable standards and tooling.

Location: On-site in San Francisco, CA

Salary: $230K – $390K • Offers Equity

Company

Creating a platform to help businesses build better, more human customer experiences with AI. Primarily an in-person company based in San Francisco, with growing offices worldwide.

What you will do

  • Own deployment architecture and execution, including VPC configuration, permissioning, networking, and infrastructure provisioning.
  • Manage full infrastructure lifecycle for critical customers: deployments, upgrades, scaling, and incident support.
  • Develop deployment runbooks, upgrade procedures, and automation tooling for repeatable operations.
  • Partner with engineering to ensure platform deployability across diverse customer requirements.
  • Collaborate with customer platform engineering, security, and DevOps teams on infrastructure constraints and compliance.
  • Work with Sales and Customer Success to scope requirements and create deployment plans.

Requirements

  • 5+ years in infrastructure, DevOps, platform engineering, or solutions architecture with customer-facing deployment experience
  • Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing)
  • Track record managing deployments in customer-owned cloud environments, including security reviews and compliance
  • Ability to navigate ambiguity with enterprise stakeholders and create actionable plans
  • Strong operational instincts for upgrades, rollbacks, monitoring, and failure modes
  • Degree in Computer Science or equivalent experience

Nice to have

  • Hands-on with Go services, GraphQL APIs, or LLM infrastructure
  • Experience at early-stage company building deployment operations and tooling
  • Familiarity with observability (Prometheus, Grafana, Datadog) and incident management
  • CI/CD pipeline design or infrastructure self-service tooling

Culture & Benefits

  • Guided by values: Trust, Customer Obsession, Craftsmanship, Intensity, Family
  • Flexible Unlimited Paid Time Off
  • Medical, Dental, Vision, Life Insurance, Disability, 401K with match, Parental Leave
  • Fertility benefits, Lunch, snacks, Discretionary Benefit Stipend

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