About The Position

This is a temporary contract position for a GCP DevOps Engineer passionate about building, automating, and maintaining reliable cloud environments. The role involves working across infrastructure, deployments, and operational processes to ensure systems remain secure, scalable, and highly available. The engineer will support cloud environments end-to-end, automate repetitive tasks, and collaborate with technical teams to improve delivery processes and operational efficiency. A proactive mindset and a passion for solving infrastructure challenges through modern DevOps practices are essential. This position is offered under a contractor model for a period of 3 months.

Requirements

  • Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.
  • 3+ years of experience in DevOps, Cloud Engineering, or similar roles.
  • Experience managing cloud infrastructure on Google Cloud Platform (GCP).
  • Hands-on experience with Docker for containerization.
  • Basic to intermediate knowledge of Kubernetes.
  • Experience designing and maintaining CI/CD pipelines.
  • Knowledge of Infrastructure as Code (IaC) tools such as Terraform or similar.
  • Experience with monitoring, logging, and observability practices and tools.
  • Understanding of networking, security, and access management in cloud environments.
  • Strong troubleshooting, collaboration, and problem-solving skills.
  • Advanced English proficiency (B2+ or higher).

Responsibilities

  • Deploy and manage Development, QA, and Production environments.
  • Automate integration and deployment processes.
  • Configure connectivity between platforms and data sources.
  • Monitor infrastructure performance, availability, and security.
  • Support data migration and data processing workflows.
  • Troubleshoot infrastructure and deployment issues.
  • Collaborate with engineering teams to improve DevOps practices.
  • Contribute to the reliability, scalability, and operational efficiency of cloud environments.
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