DevOps and Infrastructure Head, AI Platform Architect
About
Job Description
Job Description
* Design and manage cloud-native infrastructure on AWS, GCP, or Azure
* Build and maintain CI/CD pipelines for seamless deployments
* Lead containerization and orchestration using Docker and Kubernetes
* Architect infrastructure for AI/ML workloads, including data pipelines, model training, and deployment
* Implement monitoring, alerting, and performance optimization
* Drive DevOps best practices and provide technical leadership
* Collaborate with product, data, and engineering teams
Qualifications
5+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure
Relevant degree in Computer Science, Software Engineering, Information Technology, or a related fields.
Strong hands-on experience with AWS, GCP, or Azure
Deep knowledge of Docker, Kubernetes, and Terraform
Strong experience building CI/CD pipelines with tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD Solid understanding of Linux systems, networking, security, and production troubleshooting
Experience with observability tools such as Prometheus, Grafana, ELK, Datadog, or similar
Experience supporting AI/ML, data, or GPU-based workloads is a strong advantage
Strong communication, ownership, and problem-solving skills
Benefits
- Competitive salary and performance-based incentives
- Flexible and remote-friendly work environment
- Opportunity to lead cutting-edge AI/ML infrastructure projects
- Career growth and leadership development in a fast-growing tech company
- Access to global networks, training, and mentorship
- Collaborative, innovation-driven company culture
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