обновлено 4 дня назад
Platform Deployment Architect (AI)
230 000 - 390 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Deployment Architect (AI): Own the end-to-end lifecycle of customer deployments for Sierra’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 or New York, NY
Salary: $230,000–$390,000 per year, plus equity opportunities
Company
provides a platform for customer-facing AI agents that helps major brands transform customer service and business operations.
What you will do
- Own deployment architecture and implementation across enterprise customer environments, including VPC configuration, permissions, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for critical customers, including initial deployments, upgrades, scaling, and incident support.
- Build deployment runbooks, upgrade procedures, automation tooling, and repeatable operational processes.
- Partner with Engineering and Product to ensure the AI platform is deployable and operable under diverse customer requirements.
- Work with customer platform engineering, security, and DevOps teams to address infrastructure constraints, security reviews, compliance, and change management.
- Collaborate with Sales and Customer Success to scope infrastructure requirements and create deployment plans.
Requirements
- 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture, including significant customer-facing deployment work.
- Deep experience with AWS, Terraform, container orchestration, and cloud networking, including VPCs, IAM, DNS, and load balancing.
- Experience managing deployments in customer-owned cloud environments and navigating security, compliance, and change management requirements.
- Strong operational judgment covering upgrades, rollbacks, monitoring, and failure modes.
- Ability to work with enterprise stakeholders, including platform engineers and CISOs, and translate infrastructure discussions into deployment plans.
- Degree in Computer Science or a related field, or equivalent professional experience.
Nice to have
- Production experience with Go services, GraphQL APIs, or LLM infrastructure.
- Experience at an early-stage company building deployment operations, playbooks, and tooling.
- Familiarity with observability and incident management tools such as Prometheus, Grafana, or Datadog.
- Experience designing CI/CD pipelines, deployment automation, or infrastructure self-service tooling for enterprise customers.
Culture & Benefits
- Values centered on trust, customer obsession, craftsmanship, intensity, and family.
- Unlimited paid time off and medical, dental, and vision coverage for employees and their families.
- Life insurance, disability benefits, parental leave, and fertility and family-building benefits.
- Retirement plans dependent on the country of employment and discretionary benefit stipends.
- Lunch, snacks, coffee, and free alphorn lessons.
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