AI / ML Engineer Agent Developer - DXC Technology

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.