DevOps Cloud Engineer

Sólo para miembros registrados
Barcelona, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate
Compensation
€ 70K

Job location

Remote
Barcelona, Spain

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
DevOps
Github
Python
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Spark
Kubernetes
Information Technology
Data Analytics
Terraform

Job description

  • Design, provision, and maintain infrastructure across multiple cloud platforms (AWS, GCP, Azure).
  • Develop and manage Kubernetes environments for production and development clusters.
  • Automate infrastructure and deployment pipelines using Terraform and Crossplane, and CI/CD tools such as GitHub Actions.
  • Monitor system health, performance, and costs to ensure efficient operation.
  • Drive security and compliance best practices across infrastructure and deployments.

Conocimientos

Cloud infrastructure on AWS Cloud infrastructure on GCP Cloud infrastructure on Azure Kubernetes operations Infrastructure-as-code with Terraform CI/CD tools Scripting in Python Apache Spark Trino Kubernetes automation

Requirements

Qbeast is seeking a Mid-Senior level DevOps Cloud Engineer to enhance cloud infrastructure across AWS, GCP, and Azure. The role involves designing and maintaining infrastructure, managing Kubernetes environments, as well as automating deployment processes. Candidates should have at least three years of experience in DevOps or Cloud Engineering, possess a degree in computer science, and demonstrate proficiency in cloud technologies. Qbeast values flexibility and offers a hybrid remote work model. Join an innovative startup aiming to transform data analytics!, * At least three years in a professional DevOps, SRE, or Cloud Engineering role.

  • Strong experience with cloud infrastructure on AWS, GCP, and/or Azure.
  • Expertise in Kubernetes operations and ecosystem.
  • Proficiency with infrastructure-as-code using Terraform.
  • Familiarity with CI/CD tools and cloud-native deployment pipelines.

Benefits & conditions

Flexible working hours Hybrid work model Opportunity to shape the future of data engineering Collaborate with a talented team

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