Job Description
Lab49 is seeking a DevOps Engineer to assist a data science team in migrating machine learning MVP and POCs from a development environment to a production-ready, standalone API service. Key responsibilities include architecting, designing, developing, and deploying DevOps workflows to support the data science team. The role also involves actively contributing to cloud architecture adoption, development best practices, and introducing new cloud technologies. The engineer will provide guidance and mentorship to development teams for building cloud competencies, and define/document best practices for application deployment and infrastructure maintenance. The position requires being in the office in Mexico City one day per week, or more as the project demands.
Good To Have:
- Experience with Data Engineering, Machine Learning models, MLOps, and AIOps
- Experience with Generative AI technologies and RAG
Must Have:
- 5+ years of experience putting software into production
- Proficiency in Infrastructure as Code (IaC) and cloud technologies
- Good understanding of AWS ecosystem and Terraform
- Proficient in CI/CD technologies and best practices for API/data pipeline deployment
- Proficient with Docker and best practices for API services
- Experience with Python package managers and testing frameworks
- Experience with SQL and creating scheduled data pipeline jobs
- Excellent written and spoken English
- Excellent communication skills
Perks:
- Opportunity to work on cutting-edge projects
- Collaborate with industry leaders
- Accelerate career growth in a dynamic environment
- Supportive mentors for personal development
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
- Be ready to be at the office in CDMX 1 day per week, or more if the project so requires
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.
- Excellent written and spoken English
- Excellent communication skills
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.
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