Software Engineer 5 - Python Platform

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Our application development platform teams enable the underlying technology and best practices for engineering at Netflix. We work to provide Netflix engineers with the best support, solutions, and approaches to leverage common centralized needs. Python is the engine for critical domains like Machine Learning, Data Science, and Animation at Netflix. Our mission is to evolve Python from a supported language to a fully managed, curated "Paved Path" for every engineer. You will define the architecture and build the foundational platform that enables engineers to ship with zero friction and maximum confidence.

• Design and promote internal Python libraries that address common challenges faced by Netflix's Python engineers. Refine the foundational Python capabilities and ensure they operate seamlessly for internal customers.

• Understand and improve Python development experience by bringing in best practices and the latest technologies into runtime management, dependency resolution/management, testing, delivery, monitoring, and operation. 

• Work backward from Python engineers to understand their needs and wants, and collaborate with partner teams to provide an opinionated, batteries-included software development lifecycle for Python engineers.

• Safely apply massive code refactoring changes to thousands of git repositories for migration and upgrade needs. 

• Participate in the team’s support and on-call rotations.

• Extensive experience with authoring Python libraries that will be used across multiple environments, such as batch jobs, data streaming, training, and web services. 

• Deep understanding of common software engineering challenges, such as observability, security, configuration, caching, and IPC.

• Deep expertise in the internal mechanics of Python, spanning the python execution model, high-scale dependency resolution, and the Python build/packaging ecosystem, demonstrating knowledge well beyond basic usage.

• Expert on mainstream Python web frameworks (e.g. FastAPI, Flask)

• Apply Generative AI tools with strong judgment and adaptability to continuously improve workflows and drive significant business impact.

• Demonstrated ability to collaborate cross-functionally with other Platform teams.

• Able to comfortably navigate the ambiguity of a wide range of customer and partner needs, working to create the best products for the business priorities.

• Wearing different hats as needed for the team, including project and product management.

• Demonstrate a pragmatic balance between adopting modern best practices and taking a conservative, risk-aware approach to change.

• Experience with Machine Learning (e.g., TensorFlow, PyTorch, scikit-learn)

• Experience with Data Engineering (e.g., Jupyter Notebooks, Spark, pandas, numpy)

• Working knowledge of Conda

At Netflix, we value talent, passion, and the ability to learn over a perfect checklist. If you don’t see yourself in every single bullet point above but you are confident you can contribute to our mission of creating a seamless, managed Python experience, we want to hear from you. We’re looking for insightful, empathetic engineers who are excited to build the “next” in platform evolution.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.