16 часов назад
Forward Deployed Infrastructure Engineer (AI)
190 000 - 285 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Infrastructure Engineer (AI): Owning the end-to-end lifecycle of enterprise customer deployments for Sierra’s AI platform with an accent on deployment architecture, cloud networking, security, compliance, and operational reliability. Focus on designing customer-specific infrastructure, building repeatable automation and runbooks, and managing upgrades, scaling, rollbacks, and incident response across AWS environments.
Location: London, United Kingdom; on-site
Salary: £190K–£285K annually, plus equity
Company
builds an AI platform that helps businesses create more human customer experiences.
What you will do
- Own deployment architecture discussions and execution across enterprise customer environments, including VPC configuration, permissions, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for critical customers, from initial deployment through upgrades, scaling, and incident support.
- Develop deployment runbooks, upgrade procedures, automation tooling, and repeatable operational processes.
- Partner with Engineering and Product to ensure the AI platform can be deployed and operated across diverse customer requirements.
- Work with customer platform engineering, security, and DevOps teams on infrastructure constraints, security reviews, compliance, and change management.
- Collaborate with Sales and Customer Success to scope infrastructure requirements and create deployment plans.
Requirements
- Professional fluency in both Spanish and English.
- 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 handling security, compliance, and change management requirements.
- Strong operational judgment covering upgrades, rollbacks, monitoring, and failure modes.
- 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, medical, dental, and vision coverage for employees and families.
- Life insurance, disability benefits, parental leave, and fertility and family-building support.
- Retirement benefits dependent on the country of employment and participation in equity plans for eligible full-time employees.
- Discretionary benefit stipend, lunch, snacks, coffee, and free alphorn lessons.
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