Cloud Ops Engineer

Jobgether; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A cloud consulting firm is seeking an experienced Cloud Ops Engineer in Brazil to manage and optimize cloud infrastructure for advanced data science and machine learning workloads. You'll work closely with teams to ensure reliable cloud environments and implement DevOps best practices. The ideal candidate has at least 5 years in cloud operations, hands-on experience with AWS, and proficiency in scripting. This position is fully remote, offering competitive salary and professional development opportunities.

Serviços

Competitive salary

100% remote work

Professional development opportunities

Collaborative work environment

Qualificações

• 5+ years of experience in cloud operations, DevOps, SRE, or related roles.
• Hands-on experience with major cloud platforms, preferably AWS.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.

Responsabilidades

• Manage, scale, and optimize cloud platforms for data-intensive workloads.
• Provision and maintain compute clusters for machine learning workloads.
• Develop and maintain CI/CD pipelines and infrastructure-as-code solutions.

Conhecimentos

Cloud operations

DevOps

SRE

AWS

Kubernetes

Python

Terraform

Formação académica

Bachelor’s degree or higher in a STEM field

Ferramentas

AWS

Terraform

Kubernetes

CloudFormation

Jenkins

Descrição da oferta de emprego

Cloud Ops Engineer – Brazil

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.