is an award-winning specialist consultancy that
creates bespoke technology
Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data science.
DevOps Engineer
to help and support a data science team to move their machine learning MVP and POC from running in a development environment to a fully standalone API service in a production environment.
Architect, design, develop, and deploy DevOps flows to support a data science team. Actively contribute to the adoption of cloud architecture, development and engineering best practices, and new cloud technologies. Provide guidance, thought leadership, and mentorship to development teams to build cloud competencies.



Define and document best practices and strategies regarding application deployment and infrastructure maintenance
5+ years as a technical IC putting software into production. Proficiency in IaC and cloud technologies. Good understanding of the AWS ecosystem and Terraform. Proficient in CI/CD technologies and best practices for deploying software APIs and data pipelines to production. Proficient with Docker and best practices for creating new API services. Experience with Python package managers and Python testing frameworks. Experience with SQL and creating schedule data pipeline jobs that power other systems.
Ideally, experience with Data Engineering, Machine Learning models, MLOps and AIOps (or interested in picking up). LAB49 , you'll have the opportunity to work on cutting-edge projects, collaborate with industry leaders, and accelerate your career growth in a dynamic environment.

📌 DevOps Engineer, Mexico City (Cuajimalpa de Morelos)
🏢 Ion Group
📍 Cuajimalpa de Morelos