Life-Changing Brands
Data Cloud Engineer, DataOps
Location
Uruguay
Posted
64 days ago
Salary
0
Seniority
Senior
Job Description
Data Cloud Engineer, DataOps
Trafilea Tech E-commerce Group
• Design, implement, and maintain scalable, secure, and cost-effective cloud infrastructure and data pipelines on AWS • Combine DevOps and DataOps practices to ensure seamless infrastructure automation, data management, and deployment workflows • Collaborate cross-functionally with data, BI, and development teams to support critical business needs • Proactively identify improvements in automation, security, and cost efficiency • Build and maintain data architectures and ETL pipelines supporting BI and analytics • Implement Infrastructure as Code (Terraform, Terragrunt) and manage CI/CD pipelines for automation • Use Docker and Kubernetes to enable containerized, reliable deployments • Ensure cloud security, compliance, and cost efficiency across environments • Document best practices and share expertise to strengthen the team’s capabilities.
Job Requirements
- 3+ years of experience as a Cloud, DevOps, or Data Engineer
- Deep expertise with AWS services (S3, Redshift, Glue, Lambda, EMR, ECS, RDS, DynamoDB)
- Strong background in data architecture, ETL design, and automation
- Proficiency in Terraform/Terragrunt for IaC and CI/CD pipeline management
- Knowledge of Docker, Kubernetes, and container orchestration
- Understanding of cloud security frameworks and compliance standards
- Solid scripting skills in Python or Bash
- Strong communication, collaboration, and problem-solving skills
- A mindset of ownership, curiosity, and continuous learning.
Benefits
- 100% Remote
- USD competitive salary
- Paid time off
Related Guides
Related Categories
Related Job Pages
More Cloud Engineer Jobs
Senior Cloud Platform Engineer, Hamburg
DEMV Systems GmbHSoftware für den Versicherungs- und Finanzsektor
• Further development of the team and the development platform • Designing reliable infrastructures • Contributing to the expansion of the new development platform
Lead Cloud Platform Engineer
Think-itSoftware engineering collective | We help teams around the world build digital solutions for a sustainable future.
• Own and evolve Think-it's cloud and platform infrastructure. • Build organisational capability, not dependency. • Engage with stakeholders to translate needs into infrastructure solutions. • Identify gaps and drive solutions. • Keep the lights on whilst building forward. • Invest in your own growth (20% time).
• As an experienced Cloud Engineer you’ll be part of an agile project team working with all the infrastructure pieces of a system. • From writing code to provision infrastructures to driving root cause analysis, all while making sure you have fun learning and building things. • You will also be guiding the team on DevOps methodologies and best practices, and have very close contacts with CEO, COO (others) from client side.
• Innovate, develop, maintain, and optimize infrastructure within the AWS Cloud ecosystem. • Provision and manage infrastructure using Infrastructure as Code (IaC) tools such as Onica Runway and AWS CloudFormation. • Engineer solutions aligned with the AWS Well-Architected Framework pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. • Implement and enforce security best practices, including least privilege, encryption, and network segmentation. • Document infrastructure designs, workflows, configurations, and standard operating procedures. • Stay current with AWS services, emerging features, and evolving best practices. • Implement and maintain cloud-native disaster recovery and backup strategies to ensure resilience and business continuity. • Collaborate remotely with teams on status updates, effort estimations, problem solving, and feature development. • Monitor, troubleshoot, and resolve issues across cloud services, deployments, and operational workflows. • Work closely with our AWS Cloud Architect on design, implementation, and maintenance of infrastructure workflows that support application delivery, scalability, and feature development.
