Forward Deployed Infrastructure Engineer

Sierra Sierra · AI Frontier · London, United Kingdom · Engineering

This role focuses on deploying, managing, and scaling Sierra's AI platform infrastructure within enterprise customer environments. It involves architecting solutions, ensuring security and compliance, and developing automation for repeatable deployments. The engineer will partner with customers and internal teams to ensure successful integration and operation of the AI platform.

What you'd actually do

  1. Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
  2. Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
  3. Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
  4. Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements.
  5. Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.

Skills

Required

  • 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles
  • Significant time spent on customer-facing deployment work
  • Deep experience with AWS services
  • Terraform
  • container orchestration
  • cloud networking (VPCs, IAM, DNS, load balancing)
  • managing deployments in customer-owned cloud environments
  • navigating security reviews, compliance requirements, and change management processes
  • ability to navigate ambiguity with enterprise stakeholders
  • strong operational instincts

Nice to have

  • Hands-on experience with Go services
  • GraphQL APIs
  • LLM infrastructure in production environments
  • Past experience at an early-stage company where you built deployment operations, playbooks, and tooling
  • Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar)
  • Experience with CI/CD pipeline design
  • deployment automation
  • infrastructure self-service tooling for enterprise customers

What the JD emphasized

  • customer deployments
  • enterprise environments
  • security, compliance, and operational requirements
  • deployments scalable and repeatable
  • customer-owned cloud environments
  • security reviews, compliance requirements, and change management processes
  • LLM infrastructure in production environments

Other signals

  • deploying AI platform infrastructure
  • customer-owned cloud environments
  • security, compliance, and operational requirements
  • enterprise environments