This job is no longer available

The job listing you are looking has expired.
Please browse our latest remote jobs.

See open jobs →
← Back to all jobs

DevOps Engineer

Added
17 days ago
Location
Type
Full time
Salary
Not Specified

Use AI to Automatically Apply!

Let your AI Job Copilot auto-fill application questions
Auto-apply to relevant jobs from 300,000 companies

Auto-apply with JobCopilot Apply manually instead
Save job

Lab49is an award-winning specialist consultancy that

creates bespoke technologyin 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.

Lab49is looking for a

DevOps Engineerto 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.
  • Additional Information

    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.

    Use AI to Automatically Apply!

    Let your AI Job Copilot auto-fill application questions
    Auto-apply to relevant jobs from 300,000 companies

    Auto-apply with JobCopilot Apply manually instead
    Share job

    Meet JobCopilot: Your Personal AI Job Hunter

    Automatically Apply to Hybrid DevOps Jobs. Just set your preferences and Job Copilot will do the rest—finding, filtering, and applying while you focus on what matters.

    Related DevOps Jobs

    See more DevOps jobs →