DevOps Engineer (GCP/Data)

TL;DR

DevOps Engineer (Data Platform): Building and managing cloud data infrastructure on GCP with an accent on infrastructure as code, platform reliability, and performance optimization. Focus on automating data pipelines, ensuring system stability, and collaborating with data engineering teams to support AI-driven business solutions.

Location: Must be based in Brazil (Remote)

Company

hirify.global is a global digital transformation partner with 30 years of experience, specializing in AI-native execution, application modernization, and data strategy for large enterprises.

What you will do

• Design, build, and manage cloud data infrastructure on GCP using Terraform.
• Ensure the stability, performance, and scalability of the data platform.
• Implement robust monitoring, alerting, and logging to proactively resolve issues.
• Optimize infrastructure for cost and resource efficiency.
• Collaborate with data and analytics engineers to streamline deployment processes.
• Communicate technical platform status to international stakeholders and clients.

Requirements

• Must be based in Brazil.
• Advanced or fluent English proficiency is mandatory.
• Proven experience as a DevOps or SRE engineer.
• Strong hands-on experience with GCP and Terraform.
• Solid understanding of data infrastructure components like data warehousing, ETL, and data lakes.
• Experience with data-specific tools such as BigQuery, Airflow, or dbt.

Nice to have

• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Interest in MLOps and infrastructure requirements for AI/ML.

Culture & Benefits

• Global collaborative environment with 8,000+ professionals across 25+ countries.
• Focus on AI-driven innovation and technological transformation.
• Remote-first work culture.
• Access to career development and continuous learning resources.