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Senior Infrastructure Engineer
hace 2 meses
We are seeking a highly skilled Senior Infrastructure Engineer to join our AI/ML team at Workato. As a key member of our team, you will be responsible for designing, deploying, and maintaining scalable and secure cloud infrastructure to support our AI/ML workloads.
Key Responsibilities- Design and implement cloud infrastructure architecture to support AI/ML workloads
- Deploy and manage Kubernetes clusters and workloads using EKS
- Develop and maintain CI/CD pipelines using GitHub Actions, Argo Workflows, or similar tools
- Collaborate with ML Engineers and Data Scientists to ensure seamless integration of AI/ML workloads with infrastructure
- Stay up-to-date with the latest cloud technologies and best practices
- 7+ years of experience in hands-on engineering roles (DevOps/SRE)
- BS or MS in Computer Science or equivalent experience
- 1+ year of experience with hosting AI models (ML flow, AWS Sagemaker, Azure AI, Kubernetes)
- 1+ year of experience with ML Ops (ML flow, vector databases (qdrant), Dagster)
- Strong experience managing Kubernetes clusters and workloads, specifically using EKS
- Experience creating scalable development and integration pipelines using CI/CD tools
- Expertise in deploying Kubernetes-based services using tools like Kustomize, Helm, ArgoCD, or similar
- Hands-on experience with cloud-based architectures, particularly Amazon Web Services (AWS)
- Strong understanding of networking fundamentals and web services architecture
- Experience managing complex infrastructure, including Kubernetes clusters, VPC networking, and security policies, using Infrastructure as Code tools like Terraform
We offer a dynamic and innovative work environment, a competitive salary, and a comprehensive benefits package. If you are a motivated and experienced infrastructure engineer looking to take your career to the next level, we encourage you to apply.
