Job Title: Platform Operations Engineer
Department: AI Lab - Platform Operations Team
Location: Remote
Employment Type: Full-time, Permanent

Overview
We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup - a global organisation with over $20?billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide.
Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development.

About the Role
IBM’s AI Lab is building next-generation AI platforms and services. To support this mission, we’re growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you’ll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently.
This role suits someone who enjoys working at the intersection of software development and operations - writing code, automating infrastructure, and supporting high-performance machine learning environments.

Key Responsibilities

• Deploy, manage, and monitor applications on AWS EKS (Kubernetes)
• Build and maintain Helm charts, manifests, and ArgoCD configurations
• Contribute Python code for internal tooling, automation, and services
• Manage CI/CD pipelines (e.g. Concourse, GitLab CI)
• Troubleshoot issues in networking, permissions, and application performance
• Work with development teams to streamline deployment and scaling of AI systems
• Maintain secure cloud environments through thoughtful IAM and Terraform configurations

Essential Skills and Experience

• Strong hands-on experience with Kubernetes (deployment, debugging, Helm)
• Intermediate to advanced Python development skills
• Familiarity with CI/CD pipelines, especially writing and debugging them
• Solid understanding of AWS services (EKS, IAM, S3)
• Confident with Linux-based environments and containerization (Docker)

Ideal (Bonus) Skills

• Experience with Helm, ArgoCD, and GitOps workflows
• Practical knowledge of Terraform for infrastructure-as-code
• Understanding of Kubernetes networking, ingress management, and certificate handling
• Exposure to OAuth/OpenID, certificates, and authentication proxies