Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Ops Engineer in Brazil.

In this role, you will be responsible for managing and optimizing cloud infrastructure that supports advanced data science and machine learning workloads. You will work closely with cross-functional teams to ensure secure, scalable, and reliable cloud environments while implementing DevOps best practices and automation frameworks. Your contributions will directly impact the efficiency and performance of analytics systems, supporting critical business decisions. This position offers an opportunity to work in a dynamic, fast-paced environment, tackling complex cloud operations challenges while driving continuous improvement. Remote work flexibility allows you to 

Accountabilities:

• Manage, scale, and optimize cloud platforms for data-intensive workloads (AWS, Azure, GCP)
• Provision and maintain compute clusters for machine learning workloads using Kubernetes, ECS/EKS, Databricks, or SageMaker
• Develop and maintain CI/CD pipelines, infrastructure-as-code (IaC) solutions, and automated testing frameworks
• Implement monitoring, logging, and alerting systems to ensure high availability and operational reliability
• Support smooth data ingestion, transformation, and model execution workflows, collaborating with data scientists and engineers
• Implement cloud security controls, compliance checks, and governance procedures for sensitive data
• Serve as a technical advisor on cloud architecture, operational best practices, and performance optimization

Requirements:

• Bachelor’s degree or higher in a STEM field
• 5+ years of experience in cloud operations, DevOps, SRE, or related roles
• Hands-on experience with major cloud platforms (AWS preferred) and container orchestration (EKS, Kubernetes, ECS, AKS)
• Proficiency in scripting languages such as Python, Bash, or PowerShell
• Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi)
• Familiarity with CI/CD systems (GitHub Actions, Jenkins, CircleCI, GitLab CI)
• Experience supporting data-intensive or ML workloads and implementing automation for operational efficiency
• Preferred: knowledge of financial services or regulated industries, ML/AI platforms (Databricks, SageMaker, MLflow), cloud networking, and distributed compute frameworks (Spark, Ray, Dask)

Benefits:

• Competitive salary
• 100% remote work with flexible collaboration
• Opportunities to work on cutting-edge cloud and data projects
• Professional development in cloud operations, DevOps, and machine learning infrastructure
• Collaborative, innovative, and high-impact work environment
• Inclusion in cross-functional teams supporting global data initiatives

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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