What We Are Looking For Build and maintain robust CI/CD pipelines (e.g., ArgoCD, Bitbucket/Azure/AWS Pipelines) for AI/ML microservices, ensuring efficient and zero-downtime deployments.

Manage and provision cloud infrastructure (AWS/Azure/GCP/OCI) using Infrastructure as Code (Terraform, CloudFormation).

Design and manage Kubernetes clusters (EKS/AKS/GKE/OKE) and container orchestration for high-performance and GPU-based workloads.

Implement comprehensive system observability, including monitoring, logging (Prometheus, Grafana, DataDog), and alerting systems to ensure high availability.

Enforce security best practices (DevSecOps) at every stage, including IAM, Kubernetes RBAC, Network Policies, and WAF configuration.

Collaborate closely with Data Engineering and ML teams to address infrastructure bottlenecks and optimize resource utilization (especially GPU).

Nice to Have Experience optimizing GPU resource allocation or using the Nvidia GPU Operator.

Experience with GitOps methodologies (e.g., ArgoCD).





Knowledge of networking and security best practices in a cloud-native environment (e.g., service mesh, zero-trust principles).

Experience integrating DevOps practices with AI/ML specific workflows.

Why Join Marvik? Innovative Projects: We work on initiatives that push the envelope, from computer vision to predictive modeling and generative AI.

Growth Culture: We believe in continuous learning and regularly engage in internal tech talks and hands-on training.

Flexibility: We offer a versátil environment where you can collaborate on strategic initiatives and help unlock the potential of data.

This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development.

📌 Senior DevOps (Ciudad de México)
🏢 Marvik
📍 Ciudad de México