DevOps/Data Platform Engineer (GCP exp, 100% remote)

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Job Overview

The DevOps/Data Platform Engineer will play a pivotal role in enhancing and maintaining our cloud-based data infrastructure on Google Cloud Platform (GCP). This remote position requires a collaborative individual who will work closely with development teams to ensure seamless integration, deployment, and monitoring of data pipelines and services. The ideal candidate will focus on automating operations, enhancing system reliability, and optimizing data workflows, using their expertise to support business-driven data initiatives.

Job Responsibilities

• Design, implement, and manage scalable data platforms on Google Cloud Platform (GCP).
• Collaborate with development teams to automate deployment pipelines and improve CI/CD processes.
• Develop and maintain data ingestion, transformation, and storage workflows.
• Monitor production systems and implement alerting systems using appropriate tools.
• Optimize performance and reliability of data services while ensuring data integrity.
• Support troubleshooting efforts for data issues, including root cause analysis.
• Document standard operating procedures for data architecture and operations.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum 3 years of experience in DevOps or data engineering, with a focus on GCP.
• Proficient in using cloud-based technologies such as Google BigQuery, Cloud Storage, and Dataflow.
• Solid experience with container orchestration tools (e.g., Kubernetes, Docker).
• Strong understanding of CI/CD tools and practices (e.g., Jenkins, GitLab CI).
• Familiarity with scripting languages such as Python, Bash, or Go.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

The ideal candidate will work with a range of technologies and tools, including Google Cloud Platform (GCP) services such as BigQuery, Cloud Dataflow, Cloud Functions, and Cloud Storage. They will also utilize CI/CD tools like Jenkins and Git for source control, as well as container orchestration platforms like Kubernetes and Docker for managing applications and services.

Ideal Candidates

The ideal candidates for this position should exhibit a strong sense of ownership and initiative, coupled with excellent communication and collaboration skills. They should have a keen analytical mindset and be able to prioritize tasks effectively in a remote work setting. A passion for continuous learning and staying updated with industry trends in cloud technologies, data platforms, and DevOps practices is also essential for success in this role.