Job Description
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
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.
Responsibilities
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
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