DevOps Engineer, Mexico City

ION Group; Ciudad de México; Presencial; USD 60,000 - 120,000; Jornada completa

Descripción de la vacante

An innovative consultancy is seeking a talented DevOps Engineer to support a data science team in transforming machine learning MVPs into robust API services. In this role, you will architect and deploy DevOps flows, contribute to cloud architecture adoption, and mentor development teams to enhance their cloud competencies. This is a fantastic opportunity to work on cutting-edge financial technology projects, collaborate with industry leaders, and accelerate your career growth in a dynamic environment where mentorship and personal development are prioritized. Join a team that is at the forefront of financial services innovation and make a significant impact.

Formación

• 5+ years of experience in deploying software into production.
• Proficiency in cloud technologies and CI/CD best practices.

Responsabilidades

• Architect and deploy DevOps flows to support data science teams.
• Guide teams on cloud architecture and deployment best practices.

Conocimientos

DevOps

Infrastructure as Code (IaC)

AWS

Terraform

CI/CD

Docker

Python

SQL

Herramientas

Docker

Terraform

AWS

Descripción del empleo

Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance.

We were founded in 2002 to bring Silicon Valley solutions to Wall Street’s door. 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.

Lab49 is looking for a 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.

Key responsibilities:

• 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.

Required Skills and Experience:

• 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.

Desired Skills:

• Ideally, experience with Data Engineering, Machine Learning models, MLOps and AIOps (or interested in picking up).
• Experience with GenAI technologies and RAG is a plus.

Why us:

At 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.

Our philosophy is to always prioritize candidates able to take responsibility and drive execution, at the same time we understand that having a great leader is essential to your success and personal development. That’s why we place you under the guidance of experienced, supportive mentors who are dedicated to helping you thrive and grow in your role.

Join a team of experts pushing the boundaries of financial services products.