Staff Python Software Engineer

Reposted 19 Days Ago
28 Locations
Remote
Senior level
Machine Learning • Software
The Role
The Staff Python Software Engineer will develop and maintain Python APIs for model-building metadata, optimize performance, and guide a team in architectural innovations.
Summary Generated by Built In

We are seeking an experienced Staff Python Software Engineer to join our fully remote team. In this role, you will be part of the squad responsible for developing and maintaining our Python client libraries-APIs for logging and querying model-building metadata. As a key contributor, you will shape their architecture, optimize performance, and ensure seamless integration with machine learning workflows. This role requires a deep understanding of Python, API design, and performance optimization to deliver a robust and scalable experience for our users.


Our tech stack (the bigger the overlap, the better):

  • Languages: Python.
  • Cloud platforms: Microsoft Azure, Google Cloud Platform (GCP).
  • Others: Protobufs, gRPC, Swagger.


Responsibilities:

  • Develop and Maintain the Python Client Library: Contribute to the design, development, and maintenance of our Python API for logging and querying model-building metadata.
  • Code Quality & Reviews: Ensure high-quality, maintainable, and well-documented code through active development and rigorous code reviews.
  • Technical Leadership: Drive 1-2 key initiatives, working closely with 3-5 engineers to ensure smooth execution, clear task breakdowns, and effective communication of progress and challenges.
  • Architecture & Performance Optimization: Design scalable and efficient solutions for API interactions, ensuring high performance and reliability in large-scale ML workflows.
  • Innovation & Best Practices: Identify and propose enhancements to the Python client library and its surrounding ecosystem to improve user experience and performance.


You might be a fit if you have:

  • Minimum of 6 years of professional software development experience.
  • Strong proficiency in algorithmic thinking and problem-solving.
  • Passion for performance optimization, both on architecture & component level.
  • Concise and logical communication, both written and verbal.
  • Ability to balance business goals with technical purity, especially when adapting to high-paced, shifting priorities.
  • Experience in user-friendly API design.
  • Experience in leading 3-5 people engineering teams.


We offer:

  • Flexibility: 100% remote work with offices (co-works) in Warsaw/Wrocław/Poznań/Kraków available and flexible working hours;
  • Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey;
  • Time off: 20 paid service-free days per year;
  • Ownership and impact: Space to take action, bring your ideas to life, and make a real impact.


Any questions?

Check our ultimate guide for candidates to the neptune.ai Engineering team.

Don’t hesitate to contact our Talent Acquisition team, and check out our About us page to get to know the story and faces behind Neptune.



By applying, you consent for neptune.ai to process your personal data to assess your suitability for the role you have applied for in accordance with the General Data Protection Regulation (GDPR). Your personal data will remain confidential and shared only with authorized personnel involved in the recruitment process. You have the right to access, rectify, or delete your personal data at anytime.
With your optional consent, we can retain your data for up to 12 months after the application to consider you for future suitable roles if you’re not a match for the current position.

Top Skills

Google Cloud Platform
Grpc
Azure
Protobufs
Python
Swagger
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The Company
Palo Alto, California
73 Employees
On-site Workplace
Year Founded: 2017

What We Do

neptune.ai makes it easy to log, store, organize, compare, register & share 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗺𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗶𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗹𝗮𝗰𝗲. - Automate and standardize as your modeling team grows. - Collaborate on models and results with your team and across the org. - Use hosted, deploy on-premises or in a private cloud. Integrate with any MLOps stack. 𝗧𝗮𝗸𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝘂𝗿 𝗼𝗳 𝗮 𝗽𝘂𝗯𝗹𝗶𝗰 𝗻𝗲𝗽𝘁𝘂𝗻𝗲.𝗮𝗶 𝗽𝗿𝗼𝗷𝗲𝗰𝘁: https://bit.ly/3pSS1dZ

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