19 часов назад
DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI): Building and operating the Kubernetes-based platform infrastructure, CI/CD systems, developer tooling, and agent infrastructure that support engineering teams with an accent on infrastructure as code, GitOps, cloud operations, and observability. Focus on designing sandboxed execution environments, credential brokering, production reliability, and identifying systemic causes of incidents in an agentic development environment.
Location: London, hybrid
Company
develops an end-to-end AI platform that structures data, automates digital workflows, deploys agentic solutions, and integrates human expertise.
What you will do
- Design, build, operate, and improve platform services, including on-call ownership.
- Deliver infrastructure as code with Terraform, Helm, and ArgoCD using GitOps practices.
- Build developer experience tooling, including onboarding templates, CI/CD pipelines, local development environments, and self-service capabilities.
- Develop agent infrastructure such as sandboxed execution environments, credential brokering, guardrails, MCP servers, and agent skills.
- Improve observability and alerting so system health is visible and actionable.
- Participate in incident response and post-incident reviews focused on systemic improvements.
Requirements
- Hands-on experience running production Kubernetes on GCP, Azure, or AWS.
- Working knowledge of Terraform, Helm, and GitOps delivery patterns such as ArgoCD or Flux.
- Proficiency in Python and ability to work in other programming languages when needed.
- Demonstrated mastery of AI coding agents, including scoping work, building supporting context and tooling, and identifying incorrect output before production.
- Ability to explain engineering decisions involving immutable infrastructure, trunk-based development, SLOs, and machine-generated changes.
- Strong written communication, comfort with ambiguity, and initiative in identifying priorities.
Culture & Benefits
- Ownership of production systems and infrastructure used across client engagements.
- Fast-paced environment focused on advanced AI, human ingenuity, and operational impact.
- Compensation is adjusted by geographic pay tier and local market conditions.
- Offers include bonuses and equity.
- Reasonable accommodations are available throughout the hiring process.
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