
Platform Engineer
Entellux · Latin America
Remote
About the job
Key Responsibilities
• Develop, deploy, and maintain dbt and Airflow instances in production
• Manage Kubernetes clusters and containerized applications
• Implement and maintain CI/CD pipelines for data applications
• Handle system upgrades, version migrations, and maintenance windows
• Troubleshoot and resolve infrastructure issues affecting pipeline execution
• Implement monitoring, alerting, and logging for infrastructure health
• Manage infrastructure as code (IaC) using Terraform or CloudFormation
• Provide security hardening and ensure compliance with InfoSec policies
• Support ML compute infrastructure and scaling requirements
• Collaborate with data engineers on pipeline optimization and troubleshooting
• Document infrastructure architecture, procedures, and runbooks
• Participate in on-call rotation for infrastructure support and incident response
Required Skills
LatAm Position (G7): 6-10 years of platform/infrastructure engineering experience
• 3+ years with Kubernetes and container orchestration
• 3+ years with AWS or similar cloud platforms
• 2+ years managing data infrastructure (Airflow, dbt, or similar)
• Expert-level Kubernetes administration and orchestration
• Advanced AWS knowledge: EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch
• Proficiency in Infrastructure as Code: Terraform, CloudFormation, or Ansible
• Strong Python and Bash scripting skills
• Experience with dbt and Airflow infrastructure and scaling
• Knowledge of networking concepts: proxies, load balancers, DNS, VPNs
• Understanding of security best practices: SSO, OIDC, IAM, encryption
• Monitoring and logging tools: Prometheus, Grafana, CloudWatch, ELK stack
Preferred Skills
• Strong problem-solving and debugging skills
• Excellent documentation practices
• Ability to work under pressure during incidents and outages
• Collaborative approach to supporting multiple teams
• Commitment to reliability and operational excellence
• Bachelors degree in Computer Science, Engineering, or related field
• Masters degree or relevant cloud certifications preferred
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