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AI / ML Engineer (Agent Developer)

LocationTUN - ARIANA

Work modeon-site

Typefull-time

Company size10,000+ people

First seen1w ago

Last seen1d ago

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.

About the company

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Legal

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

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