What is the salary for this Cloud Ops Engineer role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Jobgether.

Where is this Cloud Ops Engineer position located?

This is an on-site position at Jobgether located in Brazil, Latin America.

How do I apply for this Cloud Ops Engineer job at Jobgether?

Click the 'Apply' button on this page to be redirected to Jobgether's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Jobgether is actively hiring for Engineering roles. Visit the company page to see all open positions and learn more about working at Jobgether.

Cloud Ops Engineer

Jobgether Brazil 2 days ago

engineering

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!

Why Apply Through Jobgether?

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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