DevOps Engineer – Data Platform

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CI&T

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

Artificial Intelligence • Cloud Services • SaaS

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Design, build, and manage our cloud data infrastructure on GCP using Terraform. Champion automation and IaC best practices. • Take ownership of the stability, performance, and quality of our data platform. Implement robust monitoring, alerting, and logging to proactively identify and resolve issues. • Continuously analyze and optimize the platform for cost, performance, and scalability. Ensure our resources are utilized efficiently. • Work in tight collaboration with data and analytics engineers to support their needs, streamline deployment processes, and ensure a stable development environment. • Be a proactive force for improvement. Identify bottlenecks, security vulnerabilities, and opportunities to enhance our systems and processes. • Keep up-to-date with the latest trends in cloud infrastructure, data engineering, and AI technologies. Advise the team on best practices and new tools. • Effectively communicate technical concepts and platform status to both technical and non-technical stakeholders, including clients in an international setting.

🎯 Requirements

• Proven experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role. • Strong hands-on experience with cloud platforms, specifically GCP (Google Cloud Platform). • Expert-level knowledge of Terraform for managing infrastructure as code. • Solid understanding of data infrastructure components (e.g., data warehousing, ETL pipelines, data lakes). • Demonstrated ability to improve the performance, stability, and quality of complex platforms. • Knowledge of monitoring and observability tools (e.g., Elementary, Prometheus, Grafana, Datadog). • Hands-on experience with data-specific tools like BigQuery, Airflow, or dbt. • A proactive, self-starting, and problem-solving mindset. • Advanced/fluent level of English is mandatory for this international project. • Nice-to-Have Qualifications • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions). • An interest in or experience with the infrastructure requirements for AI and machine learning (MLOps).

🏖️ Benefits

• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; • Profit Sharing and Results Participation (PLR); • Life insurance • Continuous learning platform (CI&T University); • Discount club • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • And many more!

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