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Senior Data Platform Engineer - Remote

Posted 8 weeks ago
Software Development
Full Time
Colombia

Overview

Gorilla Logic is seeking a Senior Data Platform Engineer to lead a MySQL to PostgreSQL migration while ensuring minimal downtime and data integrity, alongside other cloud infrastructure responsibilities.

In Short

  • Lead MySQL to PostgreSQL migration projects.
  • Enhance database replication and high availability.
  • Implement logging, monitoring, and observability best practices.
  • Contribute to cloud security and performance tuning.
  • Support Terraform refactoring and monorepo decomposition.
  • Migrate Kubernetes clusters for improved scalability.
  • Optimize CI/CD pipelines and deployment automation.
  • Work with GCP services and multi-cluster deployments.
  • Ensure reliability of cloud-based systems.
  • Collaborate with Agile teams to deliver complex software initiatives.

Requirements

  • 5+ years of experience in Database Cloud Infrastructure & DevOps.
  • Strong knowledge of MySQL & PostgreSQL.
  • Experience with Kubernetes (GKE) and Terraform.
  • Hands-on experience with GCP services.
  • Proficiency in SQL query optimization.
  • Strong knowledge in PostgreSQL architecture.
  • Experience with CI/CD automation.
  • Proficiency in Python, Go, or Bash scripting.

Benefits

  • Work with a highly collaborative Agile team.
  • Opportunity to work with Fortune 500 and SMB companies.
  • Gain competitive advantages in software delivery.
  • Flexible work environment with remote options.
Gorilla Logic logo

Gorilla Logic

Gorilla Logic is a leading provider of nearshore Agile teams, specializing in delivering full-stack web, mobile, and enterprise applications to Fortune 500 and SMB companies. With a strong emphasis on collaboration and expertise, their Agile Gorillas are adept at implementing complex software initiatives. Operating from offices in the United States, Costa Rica, Colombia, and Mexico, Gorilla Logic empowers clients to gain competitive advantages and achieve results more efficiently.

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