> Markdown version of [/jobs/ext/3999873-staff-platform-engineer-ai-agentic-ai-platform-engineering](https://www.wearedevelopers.com/jobs/ext/3999873-staff-platform-engineer-ai-agentic-ai-platform-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Platform Engineer, AI & Agentic AI Platform Engineering

- **Company:** 17918
- **Location:** Guildford, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Networks, Continuous Integration, Data as a Services, DevOps, Domain Name System (DNS), Octopus Deploy, Data Logging, Google Cloud, Cloud Platform System, Autoscaling, Delivery Pipeline, Multi-Cloud, Generative AI, Agentic-AI, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, GXP
- **Published:** October 29, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/staff-platform-engineer-ai-agentic-ai-platform-engineering/54132595

## About the Role

metrics, alerts, registries, DNS, and TLS. Enforce guardrails such as resource limits, quotas, network policies, and least-privilege access. Participate in post-incident reviews and drive improvements for reliability and cost efficiency. BASIC QUALIFICATIONS Strong experience in platform engineering, DevOps, and cloud-native infrastructure. Deep expertise in Kubernetes, container orchestration, and Infrastructure as Code (Terraform). Proven experience with multi-cloud architecture (AWS, Azure, GCP) and GitOps workflows (Argo CD). Strong background in CI/CD pipeline design, observability, and security/compliance frameworks. Bachelor's or master's degree in computer science, Engineering, or related technical field. PREFERRED QUALIFICATIONS Familiarity with Generative AI infrastructure, evaluation frameworks, and integration patterns. Knowledge of GxP/regulated environments and qualification processes. Proven Track record of driving platform adoption and mentoring engineering teams. Experience

## Description

RESPONSIBILITIES Platform Engineering and Automation Build reusable modules and templates for environment provisioning in AWS and Azure. Operate CI/CD pipelines that standardize build, test, and deploy flows with auditable delivery. Automate onboarding and environment setup to minimize manual effort for application teams. Deliver runbooks, incident response guides, and self-healing automation for critical services. Contribute to platform architecture for shared hosting and delivery pipelines across multiple clouds. Design and implement multi-cloud infrastructure patterns using Infrastructure as Code and GitOps. Drive Kubernetes orchestration, autoscaling, and workload isolation for web, worker, and data services. Help refine standards for observability, security, and compliance aligned to regulated environments. Operational Excellence Run multi-environment Kubernetes clusters with hardened ingress, registry access, and role-scoped permissions. Maintain platform services for logging