Python, AI MCP Platform Engineer

Role Summary

We are seeking an OpenShift & 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.
• Support application onboarding to CI/CD pipelines and deployment frameworks.
• 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.

Please ensure you read the below overview and requirements for this employment opportunity completely.

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.
• Familiarity with CI/CD tools and deployment automation frameworks such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar.
• 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.

Preferred Qualifications

• Red Hat OpenShift, Kubernetes, or Cloud Platform certifications.
• Experience with AI/ML application deployment and platform integration.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). xhyhwjd
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK, Splunk, or Dynatrace.