Senior DevOps Engineer, GCP

This is a fully remote position, open to applicants in Argentina, +2 more countries.

📋 Description

• Develop and sustain highly available and cost-effective cloud data infrastructure utilizing Google Cloud Platform and Kubernetes.

• Engage extensively with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.

• Create and manage Terraform configurations for GCP data services, networking, and deployment processes.

• Oversee networking and deployment settings for GCP data platform components.

• Design and uphold sophisticated CI/CD pipelines for data services, emphasizing quality, security, and efficiency.

• Implement monitoring and observability across data pipelines and infrastructure.

• Diagnose intricate data infrastructure and production challenges while proactively identifying potential risks.

• Apply cloud security best practices, including vulnerability scanning and threat modeling.

• Collaborate with application and data engineering teams to establish and enhance operational standards.

• Assist ongoing GCP migration efforts by designing scalable, secure, and cost-efficient infrastructure.

⛳️ Requirements

• Over 5 years of experience in a DevOps Engineering role with substantial hands-on experience in GCP.

• Extensive commercial experience in building and managing data infrastructure on GCP.

• Practical experience with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.

• Advanced proficiency in Terraform, particularly for GCP data services, networking, and deployments.

• Strong comprehension of GCP networking, including VPCs, subnets, firewall rules, and private connectivity.

• Demonstrated experience in designing and implementing large-scale GCP solutions.

• Excellent problem-solving abilities with a knack for designing robust technical solutions.

• Outstanding communication and collaboration skills.

• Proficient in English: B2+ / Upper-Intermediate or higher.

• Familiarity with GCP, BigQuery, Dataflow, Pub/Sub, Cloud SQL, and Cloud Storage.

• Experience in Terraform, preferably developing reusable modules.

• Proficiency in Kubernetes/GKE and Docker.

• Background in designing and maintaining CI/CD pipelines.

• Familiarity with GCP VPC, subnets, firewall rules, private service connectivity, and hybrid cloud setups.

• Skills in Python and Bash scripting.

• Experience in Java, Go, Node.js, or equivalent programming languages.

• Configuration management experience with tools such as Ansible, Chef, Puppet, or similar.

• Nice-to-have: GCP certifications like Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Data Engineer.

• Nice-to-have: Experience with GCP migration projects.

• Nice-to-have: Background working with modern data platforms and data engineering teams.

• Nice-to-have: Knowledge of dbt, Apache Airflow/Cloud Composer, or Dataproc.

• Nice-to-have: Experience in hybrid or multi-cloud environments.

• Nice-to-have: Understanding of cloud security and compliance standards such as SOC 2, ISO 27001, or PCI DSS.

🏝️ Benefits

• Opportunity to collaborate with our international partner on a cutting-edge GCP data platform.

• Work with large-scale cloud infrastructure and state-of-the-art data technologies.

• Engage with seasoned DevOps, application, and data engineering teams.

• Opportunities for professional growth and knowledge-sharing.

• Enjoy an international and collaborative working environment.