JJobsSonar

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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