DevOps Engineer – Data Platform

CI&T

DevOps Engineer managing cloud data infrastructure supporting AI-driven business solutions. Designing, building, and optimizing robust platforms for data-intensive environments.

Posted 7/7/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLGoogle Cloud PlatformGrafanaJenkinsKubernetesPrometheusTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DevOps EngineeringSite Reliability EngineeringInfrastructure as CodePerformance OptimizationData WarehousingETL PipelinesData LakesMonitoring ToolsBigQueryAirflow

Soft Skills

Proactive MindsetProblem-SolvingEffective Communication