Назад
5 дней назад

Infrastructure Engineer (AI)

200 000 - 400 000$
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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Описание вакансии

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TL;DR

Infrastructure Engineer (AI): Designing and operating the core cloud foundations for a conversational AI platform with an accent on Kubernetes, Terraform, and enterprise-grade security. Focus on architecting deployments in customer-owned clouds and ensuring the high availability of agentic AI workloads.

Location: San Francisco (Onsite)

Salary: $200K – $400K + Equity

Company

Decagon is a leading conversational AI platform empowering brands to deliver concierge customer experiences through agentic AI.

What you will do

  • Design development and production platforms and abstractions over cloud infrastructure and Kubernetes to enable rapid shipping.
  • Take end-to-end ownership of deployment architecture in customer-owned cloud environments, including VPC configuration and networking.
  • Build automation and runbooks to make enterprise deployments repeatable and scalable.
  • Ensure the reliability of AI agent workloads through robust monitoring, alerting, and incident response.
  • Collaborate with customers' platform and security teams to navigate infrastructure and compliance constraints.

Requirements

  • 4+ years of experience in core infrastructure, platform engineering, or DevOps.
  • Deep expertise with a major cloud provider (GCP, AWS, or Azure), Terraform, and Kubernetes at scale.
  • Strong understanding of cloud networking fundamentals (VPCs, IAM, DNS, load balancing).
  • Proven track record of operating production systems reliably, including on-call and incident management.
  • Ability to navigate ambiguity and communicate technical plans to various stakeholders.
  • Must be based in San Francisco (in-office company)

Nice to have

  • Experience managing deployments in customer-owned cloud environments and handling security reviews.
  • Experience building internal developer platforms, service templates, and CI/CD pipelines.
  • Familiarity with observability tools such as Prometheus, Grafana, or Datadog.
  • Infrastructure-as-code experience with a focus on supply chain security and least privilege.
  • Experience operating latency-sensitive ML/AI-serving workloads in production.

Culture & Benefits

  • "Take what you need" vacation policy.
  • Comprehensive Medical, Dental, and Vision benefits for employees and their families.
  • 401K retirement plan, life insurance, and disability benefits.
  • Parental leave and fertility benefits through Carrot.
  • Daily lunches and snacks provided in the office.

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