Senior Infrastructure Engineer

hace 1 mes


Barcelona, Barcelona, España Workato - A tiempo completo

About Workato
Workato is a leading AI-powered enterprise automation platform that enables businesses to automate their processes across the organization by integrating their applications, data, and experiences. Our platform is designed to be as simple as it is powerful, making it accessible to both developers and non-technical users.

Job Description
As a Senior Infrastructure Engineer at Workato, you will be responsible for deploying, scaling, and maintaining services at the ML/AI team. You will work closely with ML Engineers and Data Scientists to modernize and mature the platform, including infrastructure architecture decisions. Your expertise in Kubernetes, cloud architectures, and containerization will be essential in ensuring the smooth operation of our services.

Responsibilities
• Deploy, scale, and maintain services at the ML/AI team
• Collaborate with ML Engineers and Data Scientists to modernize and mature the platform
• Design and implement infrastructure architecture decisions
• Ensure the smooth operation of services using Kubernetes, cloud architectures, and containerization

Requirements
• 7+ years of professional experience in hands-on engineering roles (DevOps/SRE)
• BS or MS in the CS field (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 (Elastic Kubernetes Service)
• Proficiency in Python language is essential
• Ability to program in other languages such as Go, Ruby, or JavaScript is a plus
• Experience creating scalable development and integration pipelines using CI/CD tools such as GitHub Actions, Argo Workflows, GitLab CI, or similar solutions
• Expertise in deploying Kubernetes-based services using tools like Kustomize, Helm, ArgoCD, or similar, following a GitOps approach
• 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
• Hands-on experience with containers, including creating and optimizing Dockerfiles, using docker-compose, and a deep understanding of related technologies (kernel features, container networking, image structure, and registry)
• Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools
• Operating Kubernetes clusters in compliance-regulated environments and understanding kernel-level container technologies such as seccomp, namespaces, and cgroups
• Experience with cloud and infrastructure security regulations and compliance programs, including SOC2, ISO27001, HIPAA, GDPR, and CCPA
• Good communication and collaboration skills in international technological companies
• Readiness to work remotely with teams distributed across the world and timezones
• Good Spoken English to participate in product-related, architectural and technical discussions



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