Summary
✨ AI‑Generated
A technology engineering team is seeking a hands-on platform engineer with Python expertise to support application teams deploying AI-enabled services. Configure container platforms, maintain YAML manifests, manage connectivity and application settings, and improve developer workflows through platform automation and technical collaboration.
Highlights
Work directly with application developers to enable AI application deployment and improve developer productivity. Gain hands-on experience with modern platform infrastructure, container deployments, CI/CD, and enterprise-grade security standards.
Description
Role Summary
We are seeking an Python AI MCP Platform Engineer to support application teams in deploying and managing applications on OpenShift and Model Context Protocol (MCP) infrastructure.
This is a hands-on engineering role embedded within the development team, focused on platform enablement, application onboarding, CI/CD configuration, and developer productivity rather than traditional DevOps operations.
Key Responsibilities
Configure and manage application deployments on OpenShift.Create and maintain YAML configurations, deployment manifests, and application templates.Set up and manage MCP infrastructure and connectivity for AI-enabled applications.Collaborate with developers to troubleshoot deployment, configuration, and integration issues.Manage application configuration, secrets, routes, services, and container deployments.Assist with environment setup, release deployments, and platform automation.Ensure applications comply with enterprise security and platform standards.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.Experience in application deployment, platform support, or DevOps engineering.Hands-on experience with Red Hat OpenShift/Kubernetes container platforms.Strong knowledge of containerization technologies such as Docker and Kubernetes/OpenShift concepts.Experience creating and managing YAML configuration files, deployment manifests, ConfigMaps, Secrets, Services, and Routes.Experience supporting application onboarding, release management, and deployment processes across multiple environments.Knowledge of MCP (Model Context Protocol) infrastructure and connectivity for AI-enabled applications is preferred.Strong troubleshooting and problem-solving skills with the ability to resolve deployment, configuration, and integration issues.Understanding of networking, load balancing, container security, and enterprise platform standards.Experience with Linux/Unix operating systems and shell scripting.Knowledge of Infrastructure as Code (IaC) and automation tools such as Ansible, Terraform, or similar is an advantage.Familiarity with enterprise security practices, access controls, vulnerability management, and compliance requirements.Strong communication and collaboration skills with the ability to work effectively with development, infrastructure, and support teams.Ability to work in a fast-paced environment and manage multiple priorities simultaneously.
