Backend Engineer
Modelops Infrastructure
Updated on 5/25/2023
Experience Level
Desired Skills
Google Cloud Platform
  • Significant professional experience in Python backend infrastructure and Pytorch
  • Experience in working on scalability and maintainability challenges
  • Production experience with Terraform, Kubernetes, Docker, and preferably GCP or equivalent technologies
  • Experience with NVIDIA Triton backend and post-production monitoring of large language models ( >10GB)
  • High interest in defining infrastructure for large-scale ML recommendation engines
  • A genuine passion for learning as you will be solving the challenges of today, tomorrow, and many years to come
  • Play a key role in the design, implementation, and integration of product features
  • Solve technical infrastructure problems of high scope and complexity
  • Test, deploy, maintain, and improve ML infrastructure and software that uses these models
  • Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale web environment
  • Collaborate with other ML engineers and advise on the MLOps architecture from an infrastructure perspective
  • Respond to feature availability incidents and provide support for service engineers with customer incidents

1,001-5,000 employees

Repository hosting manager tool
Company Overview
It is GitLab's mission to make it so that everyone can contribute. When everyone can contribute, users become contributors and greatly increases the rate of innovation.
  • Spending Company Money
  • Equity Compensation
  • Life Insurance
  • Financial Wellness
  • Paid Time Off
  • Growth and Development Benefit
  • GitLab Contribute
  • Business Travel Accident Policy
  • Immigration
  • Employee Assistance Program
  • Incentives
  • All-Remote
  • Part-time contracts
  • Meal Train
  • Fertility & Family Planning
  • Parental Leave
Company Core Values
  • Collaboration: To achieve results, team members must work together effectively.
  • Results: We do what we promised to each other, customers, users, and investors.
  • Efficiency: Working efficiently on the right things enables us to make fast progress, which makes our work more fulfilling.
  • Diversity, Inclusion, and Belonging.
  • Iteration: We do the smallest thing possible and get it out as quickly as possible.
  • Transparency: Be open about as many things as possible.