Netflix is one of the world’s leading entertainment services with 278 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.

The Role

The Netflix Performance Engineering team drives performance optimization and efficiency improvements by working as a trusted expert to teams across the entire engineering organization. We are looking to add a talented, full-stack software engineer to work on industry leading performance observability and analysis tools. The team has pioneered and built extensive profiling and eBPF based tracing tools and utilities such as FlameCommander. You will work on building cutting-edge observability, visualization and analytics tooling to help us stay at the forefront of our domain.

Netflix has built a reputation as a world leader in Performance Engineering and the Netflix Performance Tech blog is one of the de-facto resources in the Industry. The team gets involved in the hardest problems and most critical projects to ensure Netflix is always delivering the very best performance to its customers. Join us as we push the boundaries of performance and resiliency.

What you will do:

Build, enhance, and operate performance observability, data analysis and visualization, and benchmarking tools.

Learn, evaluate, and integrate new tools and technologies 

Engage with performance engineers and end engineering users to understand their needs and improve their experience

Maintain strong relationships with cross-functional teams through clear communication.

Must-Have Skills:

2-5 years of professional Software Engineering experience

Demonstrated proficiency in Python, Go, and/or Java..

Demonstrated proficiency in Frontend technologies like Javascript and React or Angular.

Excellent communication skills and ability to work in a team environment.

Nice-to-Have Skills:

Experience building applications in a cloud environment.

Good understanding of systems and performance engineering concepts.

Familiarity with cloud platforms, such as AWS, and their performance monitoring tools.

Knowledge of statistical analysis and data visualization techniques.

Exposure to observability tools for machine learning (ML) models.

Experience with big data processing frameworks such as Spark.

A few more things about us:

As a team, we come from many different backgrounds and countries, and our fields of education range from the humanities to engineering to computer science and we strive to give people the opportunity to wear different hats, should they choose to. We strongly believe this diversity and agility has helped us build an inclusive and empathetic environment, and we are looking forward to adding your perspective to the mix!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here. 

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.