AI / ML Engineer (Agent Developer)

Job Description:

Essential Job Functions:

• Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments.
• Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation.
• Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes.
• Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies.
• Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications.
• Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling.
• Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions. Basic Qualifications:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.
• Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.
• Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.
• Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.
• Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.
• Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.
• Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.
• Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.
• Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.
• Proficiency in automation scripting using Bash, Python, or similar languages. Other Qualifications:
• Experience with infrastructure-as-code and cloud automation technologies is a plus.
• Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.
• Strong problem-solving, troubleshooting, and analytical skills.
• Excellent communication and collaboration skills with cross-functional technical teams.
• Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.

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