обновлено 13 дней назад
Forward Deployed Engineer - Platform Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer - Platform Engineer (AI): Delivering cloud platform and infrastructure modernisations across Azure, GCP, and AWS, including secure Kubernetes platforms for generative AI and agentic systems, with an accent on Infrastructure as Code, GitOps, security, and observability. Focus on designing landing zones and developer platforms, integrating LLM hosting and gateways, modernising legacy applications, and solving complex networking, compliance, and reliability challenges.
Location: London, United Kingdom; willingness to travel and work on customer premises may be required.
Company
runs and modernises mission-critical technology systems for leading businesses, with a focus on cloud, automation, and AI-powered solutions.
What you will do
- Translate business challenges into target-state cloud platforms across Azure, GCP, and AWS.
- Build enterprise Kubernetes platforms, GitOps delivery with ArgoCD, self-service developer environments, and secure landing zones.
- Deliver platforms for generative AI systems, including LLM hosting, LLM gateways, and agentic workflows.
- Own CI/CD pipelines and Infrastructure as Code using Terraform and Helm across the full delivery lifecycle.
- Implement platform security, networking, certificate and DNS management, policy-as-code, access controls, secrets management, and compliance guardrails.
- Modernise legacy applications, support microservices and API migrations, instrument platforms with observability tooling, and contribute reusable blueprints to core platform teams.
Requirements
- 5+ years of hands-on experience in solution and platform architecture, including client-facing infrastructure modernisation.
- Hands-on expertise with Azure, GCP, and/or AWS, including landing zones, networking, IAM, and cost controls.
- Production experience with Kubernetes, ArgoCD, Terraform, Helm, CI/CD pipelines, Git, GitHub, and microservices or API architectures.
- Experience implementing end-to-end platform security, including CI/CD security tooling, Kubernetes namespace segmentation, managed identities, and secure hyperscaler access.
- Experience with SSL/TLS certificates, DNS zones, secure endpoint access, and observability tools such as Grafana, Prometheus, and OpenTelemetry.
- Working knowledge of generative AI platforms, including LLM hosting, LLM gateways, and MLOps/LLMOps practices for production systems.
Nice to have
- Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Knowledge of LLM governance, data privacy, guardrails, and responsible-use controls.
- Experience with legacy application modernisation, containerisation, microservices re-platforming, and platform risk frameworks.
- T-shaped technical consulting experience and the ability to translate business requirements into technical roadmaps.
- Degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.
Culture & Benefits
- Flexible, hybrid-friendly work culture with emphasis on employee well-being and belonging.
- Financial, mental, physical, and social well-being programs.
- Career development support, personalised development goals, continuous feedback, coaching, and hands-on learning.
- Access to certification and learning opportunities from Microsoft, Google, and Amazon.
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