Technical Lead for Cloud Infrastructure and AI Solutions

hace 2 días


Barcelona, Barcelona, España Workato A tiempo completo
About Workato

We are a leading integration and automation platform, trusted by 7,000+ of the world's top brands. Our mission is to empower businesses to automate workflows across any apps and databases, while fostering a flexible and trust-oriented culture.

Why Choose Us?

At Workato, we believe in innovation and collaboration. We offer a vibrant and dynamic work environment, along with a multitude of benefits that enable our employees to balance productivity with self-care.

Job Description

Senior Infrastructure Engineer

As a Senior Infrastructure Engineer, 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 as part of a small, flexible team and have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions.

Responsibilities
  • Deploying, scaling, and maintaining services at the ML/AI team
  • Closely working with ML Engineers and Data Scientists
  • Directly impacting the process of modernization and maturation of the platform
Requirements

Qualifications / Experience / Technical Skills

You will need:

  • 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)
  • Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service)
  • Programming Skills: Proficiency in Python language is essential. Ability to program in other languages such as Go, Ruby, or JavaScript is a plus
  • CI/CD Tools: Experience creating scalable development and integration pipelines using CI/CD tools such as GitHub Actions, Argo Workflows, GitLab CI, or similar solutions
  • Kubernetes Deployments: Expertise in deploying Kubernetes-based services using tools like Kustomize, Helm, ArgoCD, or similar, following a GitOps approach
  • Cloud Architectures: Hands-on experience with cloud-based architectures, particularly Amazon Web Services (AWS)
  • Networking and Web Services: Strong understanding of networking fundamentals and web services architecture
  • Infrastructure as Code: Experience managing complex infrastructure, including Kubernetes clusters, VPC networking, and security policies, using Infrastructure as Code tools like Terraform
  • Containerization: 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)
  • Software Packaging and Testing: Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools
  • Compliance and Security: Operating Kubernetes clusters in compliance-regulated environments and understanding kernel-level container technologies such as seccomp, namespaces, and cgroups
  • Security Regulations and Compliance: Experience with cloud and infrastructure security regulations and compliance programs, including SOC2, ISO27001, HIPAA, GDPR, and CCPA
Soft Skills / Personal Characteristics

Excellent communication and collaboration skills in international technological companies.

Ability 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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