Software Engineer — Developer Platform
Warsaw, Poland
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Netflix
Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more.Netflix is one of the world's leading entertainment services, with 283 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.
About the Developer Platform Teams
The Infrastructure Engineering Org at Netflix has teams focusing on a number of different areas including: test infrastructure, resilience & reliability tooling, internal application interface development, improving the technical health of systems, and collecting and reporting on the metrics that help Netflix quantify and improve developer productivity. These teams work across Java, Python, and JavaScript, building applications and services in these languages as well as serving our internal customers who work in one or more of these languages.
We are hiring for this role across the following Developer Platform teams:
Platform Modernization Engineering
The Platform Modernization Engineering team’s mission is to enable Netflix engineering teams to rapidly build and create innovative experiences by making software changes transparent using automation of large-scale upgrades and improving developer productivity using discovery, learning and support tools. This central team is responsible for evangelizing the evolution of a safe, healthy and efficient software ecosystem and for identifying and driving product adoptions and software changes for Netflix fleet of services.
Test Tools & Infrastructure
The Test Tools & Infrastructure team builds the frameworks and services that help Netflix build resilient and reliable services, from providing insights into code quality and test coverage to creating synthetic traffic and load-testing systems. Metrics & analytics on test health, canary frameworks and automation, and mocking and integration-testing solutions are part of this teams’s charter.
Distributed Refactoring
The Distributed Refactoring Platform team is dedicated to creating services and APIs that facilitate safe and efficient source code modernization across Netflix's vast array of code repositories with the goal to make large-scale migrations and refactoring seamless and effortless for Netflix's engineers.
About the Role
We are seeking experienced Software Engineers who are passionate about writing software that will help other engineers write software. The ideal candidate will have a strong generalist background, having built moderately complex applications in Python or Java. This role requires demonstrated experience scaling services and applications to serve hundreds of users and thousands of requests per minute. Engineers in this job will interact with customers and product managers to ensure that the team is delivering the tools and features needed by Netflix. Writing design documents, driving changes across teams and organizations, and ensuring the reliability and success of productivity tools is a significant part of this role. The tools and services delivered by engineers in this role will span multiple parts of the stack (from persistence and data layers through business logic and service APIs to front-end user UX) so familiarity with each of those areas is required, though focus, experience, and expertise may be concentrated on one layer.
Key Responsibilities
Software Development: Write software that assists other engineers in their software development processes.
Application Building: Develop moderately complex applications using Python or Java
Service Scaling: Scale services and applications to efficiently handle hundreds of users and thousands of requests per minute.
Customer and Product Interaction: Engage with customers and product managers to ensure the delivery of necessary tools and features.
Design Documentation: Write design documents and drive changes across teams and organizations.
Tool Reliability: Ensure the reliability and success of productivity tools.
Cross-Functional Collaboration: Work across different layers of the stack, focusing expertise on one layer while maintaining familiarity with others.
Data Modelling & Analysis: Choose storage solutions and design data models for relation and non-relational datasets. Write queries and reports to power analytics and dashboards for customer teams and organizations.
Who You Are
A skilled software engineer with experience in developer platform or productivity teams.
A meticulous software designer who researches and documents technical tradeoffs clearly and concisely.
A self-motivated and organized individual who can independently drive a project from design to production
A proactive communicator who engages effectively with technical and non-technical stakeholders.
A developer who is passionate about writing tests for their code and has demonstrable experience solving difficult testing and reliability challenges in complex domains.
A problem-solver who can leverage data to make quantitative decisions and seeks out creative approaches in order to derive useful signals from noisy systems.
An effective collaborator who can work closely with customer teams and partner teams to create tailored strategies to execute software change campaigns effectively.
A passionate advocate for developer productivity using tooling investments for better discovery, learning and support
Experience We’d Be Excited About
Expertise in one or more the following languages: Java, Python, JavaScript, Golang
Familiarity with relational and non-relational databases and data stores.
Performance engineering experience and work with load and traffic generation tools.
Passion for maintaining the technical health of our software ecosystem to enable faster innovation
You are an expert in using one or more of the following build tools or frameworks: Gradle, UV, Bazel, pip
You have implemented advanced log, metric, or error stacktrace analysis.
You have hands-on experience using machine learning or statistical analysis on moderately large data sets
Familiarity with running and debugging services and applications in Linux environments
Familiarity with managing applications in AWS and familiarity with the core AWS service and feature ecosystems (EC2, S3, etc.)
Familiarity with Kubernetes or other container management solutions
Experience designing, building, and operating continuous delivery and continuous integration systems.
Full-Stack Development: deliver tools and services that span multiple parts of the stack, including persistence and data layers, business logic, service APIs, and front-end user experience (UX).
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.
Job is open for no less than 7 days and will be removed when the position is filled.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Bazel EC2 Engineering Golang Java JavaScript Kubernetes Linux Machine Learning Python RDBMS Statistics Testing UX
Perks/benefits: Career development Health care
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