Platform engineer

Remote

Curotec

We're a development agency with expertise in SaaS products, business applications, and websites. Hire us for a project or staff augmentation.

View all jobs at Curotec

Apply now Apply later

This is a remote position.

About Curotec

We have a really interesting team of people that span many different skill sets, cultures, and backgrounds. We are a melting pot of sorts. One of the things our team members enjoy the most about working at Curotec is their ability to learn new things every day, not only about technology but also about their fellow team members and their cultures.

We are looking for Platform Engineers to join our remote team.

About the Job
You’ll lead efforts to decouple dependencies, simplify environment setup, and reduce friction for both backend and ML engineers working in a shared codebase. This is for a 6-month contract. The position is full-time and remote. Please find the requirements below:

Project Description

Dependency Management
  • Redesign how requirements are defined and consumed in the monorepo.
  • Introduce isolation or opt-out mechanisms to prevent conflicts between unrelated libraries.
  • Reduce risk and effort required to upgrade core dependencies, especially for small or isolated services.
  • Work toward unbundling shared dependency sets (backend, ML, third-party runtimes).

Environment Setup
  • Improve reproducibility and hygiene across development environments.
  • Streamline and standardize Python installation and tooling.


Requirements

Qualifications
  • Experience managing Python environments in large, shared codebases.
  • Deep knowledge of dependency resolution and packaging tools.
  • Familiarity with containerization, reproducible builds, monorepo CI(Buildkite).
  • Bonus: Experience with Airflow, Spark, Tecton, Notebooks, or other ML/DS systems.


Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Airflow Machine Learning Python Spark

Region: Remote/Anywhere

More jobs like this