Cloud DevOps Engineer — Remote-First & AI-Powered Growth

Logical Media Group; Colombia; On-site; COP 141,150,000 - 235,250,000; Full time

Benefits offered by this job

Remote-first

Flexible work environment

Annual retreats

Job summary

Logical Media Group is actively seeking a Cloud DevOps Engineer based in Colombia. You will join a fast-paced development team responsible for deployment, performance tuning, scaling, and cost optimization on our cloud infrastructure.

You will collaborate with product teams, deploy optimized features, tune performance, scale infrastructure, and control costs while following best practices and working in 1–2 week sprints.

Qualifications

• Proven experience as a DevOps Engineer or similar role in software development and system administration.
• Experience with Docker is a must.
• Experience with Google Cloud Platform or AWS is a must.
• Experience with APIs and FastAPI is a big plus.
• Strong knowledge of Python, Node.js, and backend development is a plus.
• Familiarity with LLMs, LangChain, and similar technologies is desirable.

Responsibilities

• Collaborate with development teams to understand features and requirements for the product.
• Handle the deployment of optimized features developed by the team.
• Perform performance tuning to ensure stability and efficiency of the product.
• Scale cloud infrastructure to meet growing business needs.
• Optimize costs associated with cloud infrastructure.
• Work in 1-2 week sprints, focusing on specific layers of the product.
• Ensure all actions are aligned with best practices.

Skills

Docker

Cloud platforms

APIs

FastAPI

Python

Node.js

LangChain

LLMs

Communication

Teamwork

Tools

Google Cloud Platform

AWS

Job description

Logical Media Group is actively seeking a Cloud DevOps Engineer based in Colombia. You will join a fast-paced development team responsible for deployment, performance tuning, scaling, and cost optimization on our cloud infrastructure.

You will collaborate with product teams, deploy optimized features, tune performance, scale infrastructure, and control costs while following best practices and working in 1–2 week sprints.