Software Engineer (Python and Data Platform)
Summary
Software engineer at OMP building the data/extension layer around its platform: data pipelines (data lake/projections), event-streaming and queuing integrations, and Python SDKs that other teams use to extend the product safely. You own your services end to end, including CI/CD automation and production deployment.
As a Software engineer, you build the data layer that lets other teams and industry solutions extend our platform safely, outside the core product. You own your code and its deployment end to end, in production.You work closely with architecture and product to shape an extension layer that’s still taking shape.
You are responsible for:
- Building data pipelines (data lake / data projections) that expose platform data to extensions.
- Building event-streaming and queuing integrations that extensions use to consume and publish platform events.
- Developing and maintaining the Python SDKs and contracts libraries extension authors build against.
- Automating the CI/CD and deploying your own services. You build it, you run it.
- Discussing and validating the functional requirements throughout the development cycle together with our experienced product managers.
Skills
As published by greenhouse · 11 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (7)
- Country of residence optional
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Pick from a list (3)
- How did you find us? optional
- Years of experience optional
- How would you describe your current AI fluency?
Written answers (1)
- In a few sentences, tell us how you use AI in your day-to-day work today. What tools do you use, what kind of tasks do you use them for, and where have you found AI most (and least) useful?