24 дня назад
AI/ML Engineer (Agent Developer)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (Agent Developer) (Azure/Kubernetes): Building and operating secure cloud-native platforms, CI/CD pipelines, and deployment infrastructure for AI agents and MCP server components with an accent on Kubernetes, GitOps, networking, and Azure services. Focus on automating scalable application delivery, securing infrastructure services, and maintaining highly available environments across repositories and deployment stages.
Location: Ariana, Tunisia
Company
provides enterprise technology and cloud infrastructure services.
What you will do
- Design, implement, and maintain secure CI/CD pipelines across multiple repositories and environments.
- Manage Kubernetes platforms, including cluster operations, deployments, Helm charts, scaling, and environment isolation.
- Establish GitOps deployment practices, container registry management, and automated application lifecycle processes.
- Configure API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies.
- Implement secrets management, managed identities, and controlled execution environments for cloud-native applications.
- Deploy and maintain AI agents and MCP server components using automation frameworks, reusable templates, and platform tooling.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience.
- 3+ years of experience in DevOps, SRE, Cloud Engineering, or related infrastructure roles.
- Hands-on experience with Kubernetes platforms such as AKS or EKS, plus strong knowledge of Helm and cloud-native deployment practices.
- Experience with Azure services including Azure Container Registry, Azure Key Vault, Blob Storage, and container-based compute.
- Experience designing CI/CD pipelines with Azure DevOps, GitHub Actions, or comparable tools.
- Proficiency with Docker, GitOps, networking, cloud security, and automation scripting using Bash, Python, or similar languages.
Nice to have
- Infrastructure-as-code and cloud automation experience.
- Experience with AI platform operations, MCP services, and modern agent deployment architectures.
- Azure, Kubernetes, DevOps, or cloud certifications.
Culture & Benefits
- Work model prioritizes in-person collaboration.
- Flexibility is provided to support wellbeing, productivity, individual work styles, and personal circumstances.
- Inclusive work environment focused on strong connections and community.
- Collaboration with development, security, and operations teams.
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