Senior Data Platform Engineer (Remote)

About Poolside

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.

poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.

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About Our Team

We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.

Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.

About The Role

Our data platform enables applied research teams at poolside to build high quality and large datasets for pretraining and postraining, run large-scale experiments end to end from data retrieval to running evaluations and benchmarks.

YOUR MISSION

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

Responsibilities

As a member of this team, you will:

• Work on our data platform, supporting core data pipelines and improving data infrastructure.
• Work with both open-source big data solutions and internal systems.
• Enhance system performance, scalability, and reliability for large-scale data processing.
  
  

Skills & Experience

• Strong programming skills in either Python, Go, C or C++ (we are open to polyglot engineers from other languages)
• Experience with distributed systems, data pipelines, data processing systems, and query engines.
• Plus: Experience with container runtimes and Linux system programming.
• Plus: Familiarity with Kubernetes and Apache Spark
  
  

PROCESS

• Intro call with a member of our team
• Technical Interview(s) with a member of our engineering team
• Team fit call with the People team
• Final interview with one of our Founding engineers
  
  

Benefits

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you and dependents
• Company-provided equipment
• Wellbeing, always-be-learning and home office allowances
• Frequent team get togethers
• Great diverse & inclusive people-first culture