3 дня назад
Senior Cloud Engineer (AI Platform)
63 000 - 70 200GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Cloud Engineer (AI Platform): Designing and operating secure, scalable Azure and GCP infrastructure for autonomous AI agents and workloads with an accent on cloud governance, platform guardrails, observability, and production readiness. Focus on building vector datastore and identity capabilities, implementing prompt-injection defenses and token tracing, and leading incident response and disaster recovery for an enterprise-grade AI platform.
Location: Leicester, United Kingdom; hybrid work arrangement
Salary: £63,000–£70,200 per year
Company
is a retail company providing fashion, beauty, home, and related consumer products through its brands and stores.
What you will do
- Design, build, and maintain scalable infrastructure for autonomous AI agents and workloads across Microsoft Azure and Google Cloud Platform.
- Develop standard templates, infrastructure-as-code modules, robust delivery pipelines, and platform guardrails for secure production deployment.
- Build foundational capabilities including vector datastores, identity and access controls, MCP integrations, AI memory infrastructure, observability, token tracing, and FinOps controls.
- Implement zero-trust security practices, prompt-injection defenses, model evaluation controls, and production-readiness gates for AI proofs of concept.
- Manage platform stability, availability, incident response, and disaster recovery while coordinating resolution of major issues.
- Mentor junior engineers, lead technical workshops, conduct code reviews, and collaborate with architects, security teams, stakeholders, and other technology teams.
Requirements
- Senior-level experience with cloud infrastructure, networking architecture, automation, and security for AI platforms or workloads.
- Experience with Azure foundations, landing zones, governance, Azure Container Apps, AKS, container registries, Azure DevOps, and Azure networking.
- Knowledge of vector datastores, secure storage encryption, agent identity management, Entra ID, RBAC, and zero-trust access controls.
- Experience with Terraform, Ansible, infrastructure-as-code module development, CI/CD, scripting, and pipeline automation.
- Knowledge of Google Cloud Platform, model security controls, AI observability, token tracing, MCP integrations, and FinOps.
- Ability to work in or regularly attend the Leicester, United Kingdom location under a hybrid arrangement.
Culture & Benefits
- Company performance-based bonus and Sharesave scheme.
- Employee discounts across , MADE, Lipsy, Gap, Victoria's Secret, partner brands, and staff shops.
- Digital GP access and free health and wellbeing services.
- On-site nursery, free on-site parking, restaurants, and workplace shopping services.
- Apprenticeship opportunities, support networks, and discounted Wellhub gym memberships.
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