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Senior Data DevOps, GCP
Remote in Georgia
Data DevOps
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We are looking for a proactive and detail-oriented Senior Data DevOps Engineer with strong experience in cloud infrastructure and automation, particularly within Google Cloud Platform (GCP). The ideal candidate is passionate about building scalable, secure and reliable systems, and is comfortable working in a fast-paced, collaborative environment. You should have a strong ownership mindset, the ability to streamline operations through automation, and the judgment to balance speed with stability.
Responsibilities
Design, implement and manage cloud infrastructure on GCP using Infrastructure as Code (IaC) principles
Development and maintenance of Terraform modules for environment provisioning and standardization
Use of Ansible for configuration management and system automation
Build, optimize and maintain CI/CD pipelines using Jenkins to support efficient software delivery
Management and security of GCP services, including IAM roles, networking configurations and access controls
Administration of BigQuery environments, ensuring performance, cost optimization and data governance
Management of Google Cloud Storage (GCS) buckets, including lifecycle policies, access control and security best practices
Deployment and operation of data processing workloads using GCP Dataproc (Spark jobs)
Collaboration with engineering, data and product teams to support reliable and scalable platform operations
Monitor system performance, troubleshoot issues and implement improvements to enhance reliability and efficiency
Contribution to best practices, documentation and continuous improvement of DevOps processes
Requirements
4+ years of experience in DevOps, Cloud Engineering or related roles
Expertise in Terraform for infrastructure provisioning and Ansible for configuration management and automation
Proficiency in building and maintaining CI/CD pipelines using Jenkins
Solid experience with Google Cloud Platform (GCP), including IAM and networking
Background in administering BigQuery and managing large-scale data environments
Skills in GCS bucket management, including lifecycle and security configurations
Familiarity with GCP Dataproc and Spark job deployment/operations
Understanding of cloud security, scalability and reliability principles
Good problem-solving skills and ability to work independently under general direction
Strong communication and collaboration skills
English proficiency at B2 level or higher
Nice to have
Experience with Looker or similar BI/reporting tools
Exposure to data engineering workflows or analytics platforms