Software Engineer L4 - Media Encoding Pipelines, Encoding Technologies

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.

The mission of Encoding Technologies is to deliver the best A/V experiences to our members and our studio customers via media innovations. A critical component to achieve this goal is the highly scalable cloud based encoding pipelines to support generating media assets of various formats and quality levels, which is also the charter of the Media Encoding Pipelines team. In recent years our scope has expanded to image processing. Dynimo is the system we have developed which could dynamically generate and serve images across all Netflix product UI platforms for hundreds millions of users in real time with very low latencies. We are looking for talented engineers to join our team and elevate our system to the next level.

To learn more about our work on Dynimo please check out .

You will be successful in this role if you:

• Are a quick learner and excited about learning new technologies

• Passionate about automated testing, code quality and engineering best practices

• Thrive in an environment with lots of context and minimal guidance

• Enjoy collaborating with both technical and non-technical partners from cross-functional teams and have excellent communication skills

• Enjoy taking full ownership of projects from conception to production

Qualifications:

• Experience using Go in a production environment

• Experience using Java or similar languages and proficient in OO design principles

• Experience with server-less Function as a Service systems such as AWS Lambda

• Experience with Docker along with its build environment and Continuous Integration/Continuous Deployment practices

• Experience in designing and developing large scale distributed systems focusing on availability, throughput, performance, and fault tolerance

• Good understanding of concepts like concurrency, parallelism, and event driven architecture

Bonus:

• Image processing experiences

Be sure to review our to learn more about the unique Netflix culture and the opportunity to be part of our team.

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.

Netflix is a unique culture and environment.  Learn more.

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.