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2 дня назад

Senior DevOps Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior DevOps Engineer (AI): Own and evolve platform domains covering architecture, reliability, security, cost, multi-tenant infrastructure, and agent-native engineering with an accent on Kubernetes, cloud infrastructure, and platform security. Focus on designing reusable self-service capabilities, building safe execution environments and internal tooling for coding agents, and making complex architecture and engineering-practice decisions.

Location: London, United Kingdom — hybrid

Company

hirify.global develops an end-to-end AI platform for structuring data, automating digital workflows, deploying agentic solutions, measuring outcomes, and integrating human expertise.

What you will do

  • Own a platform domain end to end, including architecture, roadmap, reliability, security posture, and cost.
  • Lead architecture and trade-off discussions across performance, scalability, cost, security, and reliability, and document decisions.
  • Build multi-tenant infrastructure that enables client-facing engineering teams to self-serve without creating delivery bottlenecks.
  • Advance agent-native engineering through safe execution environments, credential and secret handling, internal tooling, MCP servers, and agent evaluation.
  • Define standards for coding-agent usage, including review practices, context engineering, and appropriate automation.
  • Mentor engineers, review designs, own on-call practice, and lead post-incident reviews.

Requirements

  • Production Kubernetes design and operations experience at multi-team scale on GCP, Azure, or AWS.
  • Deep experience with Terraform, Helm, and GitOps delivery.
  • Strong knowledge of identity and SSO, workload identity, secrets management, network policy, and threat modeling.
  • Strong Python skills for building infrastructure tooling.
  • Practical expertise with AI coding agents, including building harnesses, guardrails, and internal tooling.
  • Excellent written communication, engineering judgment, and a track record of shipping infrastructure used by other engineers.

Nice to have

  • Formal qualifications are not required; demonstrated capability is weighted more heavily than years of experience.

Culture & Benefits

  • Ownership, innovation, and the ability to work through ambiguity are emphasized.
  • Compensation is adjusted by geographic pay tier and local cost of living.
  • Offers include bonus and equity.
  • Additional compensation and benefits details are discussed during the hiring process.
  • Reasonable accommodations are available for candidates with disabilities.

Hiring process

  • Compensation tier and location-based details are confirmed by the Talent Acquisition Partner during recruitment.
  • AI may be used to support the interview process, with ethical-use guidelines provided for candidates.

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