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.
As part of the Infrastructure organization we as a Engineering Enablement team helps scale Netflix’s engineering efficiency by improving how developers interact with core platform capabilities. We act as a central source of technical insight: working directly with engineers, analyzing platform behaviors, spotting cross-cutting patterns, and partnering with platform teams to drive meaningful improvements
We focus on strengthening developer workflows, optimizing platform usability, expanding paved-road tooling, and improving documentation and developer education. Our work combines hands-on technical investigation with platform-level influence.
Our Mission
Enable Netflix engineers to move quickly and confidently by improving how they experience the platform and by providing high-quality technical guidance across platform domains.
Our culture is unique, and we tend to live by our values, allowing you to do your best work and grow. To learn more about Productivity Engineering, feel free to listen to this podcast.
The Role
We are looking for a Productivity Solution Engineer (L5) with strong expertise in Java and platform tooling. In this role, you’ll work directly with engineers to understand how platform behaviors surface in real development and delivery workflows. You’ll investigate issues end to end, form and validate technical hypotheses, and provide clear, actionable guidance that helps engineers move forward quickly.
Because you engage with a wide range of teams and problem domains, you gain a unique vantage point into how our platform operates at scale. This perspective allows you to spot recurring patterns and collaborate with partner teams (such as Java Platform, CI/CD & Resilience, GenAI Platform, and others) to drive structural improvements that strengthen developer experience and platform reliability.
Responsibilities:
Lead end-to-end technical investigations across Java Platform tooling, CI/CD surfaces, and distributed systems
Build a deep understanding of how Netflix engineers use platform capabilities and where friction emerges
Identify cross-cutting patterns from real workflows and translate them into platform improvements
Collaborate closely with partner teams to influence roadmap prioritization and strengthen developer workflows
Improve paved-road tooling, documentation, and automation to reduce cognitive load for engineers
Create and maintain runbooks, best practices, and guidance for engineering teams across Netflix
What We’re Looking For
Technical Mastery
5+ years of hands-on Java experience, including advanced debugging, performance tuning, and solid understanding of JVM internals
Strong proficiency with Spring Boot and its ecosystem (Spring MVC, Spring Data, Spring Security, microservice patterns)
Experience working with distributed systems, including service-to-service communication, timeouts, retries, and resilience patterns
Proficiency with gRPC and REST, including designing, implementing, and troubleshooting APIs
Familiarity with relational and non-relational data stores and their integration in Java-based services
Deep understanding of Gradle, dependency management, build performance, and plugin behavior
Strong CI/CD expertise, including pipeline design, automated testing integration, and release engineering best practices
Experience with testing frameworks such as JUnit, Mockito, and integration testing strategies
Solid grasp of the SDLC, from design and implementation through deployment, operation, and long-term maintenance
Diagnostic & Problem-Solving Skills
Advanced debugging skills across distributed systems, JVM environments, and CI/CD workflows
Ability to quickly build accurate mental models and diagnose unfamiliar issues
Strong analytical thinking with a focus on identifying root causes and durable fixes
Ownership & Execution
Comfort operating independently and driving investigations from discovery through long-term solutions
Ability to turn real-world engineering signals into platform improvements and actionable roadmap insights
Collaboration & Communication
Clear communication of technical concepts to varied audiences
Experience working with globally distributed teams across time zones
Skilled at aligning multiple stakeholders around shared engineering goals
Developer Empathy
Strong understanding of developer workflows, needs, and pain points
Passion for improving developer experience and usability across platform surfaces
Nice to Have
Experience building internal automation tooling
Background designing or maintaining engineering productivity infrastructure
Experience contributing to knowledge bases, documentation, or developer education
Familiarity with GraphQL is a plus
Working Model
This role is based in Warsaw and follows a hybrid work model. Because you will collaborate closely with teams in both EMEA and the US/Canada, the core working hours for this position are 12:00–20:00 CET to ensure effective overlap and continuity.
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 diversitybuilds 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.
