Senior Infrastructure Engineer

hace 2 semanas

Barcelona, España Workato A tiempo completo

**About Workato**:
Workato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.

Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.

**Why join us?**:
Ultimately, Workato believes in fostering a **flexible, trust-oriented culture that empowers everyone to take full ownership of their roles**. We are driven by **innovation **and looking for** team players **who want to actively build our company.

But, we also believe in **balancing productivity with self-care**. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

Also, feel free to check out why:

- Business Insider named us an "enterprise startup to bet your career on"
- Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- Quartz ranked us the #1 best company for remote workers

**Responsibilities**:
As a Senior Infrastructure Engineer, you will be responsible for deploying, scaling, and maintenance of services at the ML/AI team. You will closely work with ML Engineers and Data Scientists as a part of a small, flexible team and will have a direct impact on the process of modernization and maturation of the platform including infrastructure architecture decisions.

**Requirements**:
**Qualifications / Experience / Technical Skills**:

- **7+ years** 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**:

- 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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