Senior Data DevOps, Google Cloud Platform

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 (Google Cloud Platform). 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 (Google Cloud Platform), 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 Google Cloud Platform 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