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Software Engineer 5 - Live Media Asset Management

Netflix

Software Engineer 5 - Live Media Asset Management

Netflix

USA - Remote

·

Remote

·

Full-time

·

1mo ago

Compensation

$388,000 - $558,000

Benefits & Perks

Healthcare

Mental Health

401(k)

Equity

Flexible PTO

Parental Leave

Healthcare

Mental Health

401k

Equity

Parental Leave

Required Skills

Backend services

Platform engineering

Distributed systems

Event-driven architecture

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Creative Compute and Storage (cCAS)

The cCAS team is building the next generation of media management platforms to support Netflix’s expanding live and sports content. We are looking for a Senior Software Engineer to help build our Live Media Asset Management (MAM) platform, which will underpin our ingest, management, and reuse of live media at scale.

In this role, you will design and build core backend and platform services that integrate a third‑party MAM with Netflix’s hybrid on‑prem/AWS infrastructure, cCAS storage and compute, and upstream/downstream content workflows.

What you will do

  • Design and build backend services that power the Live MAM platform (e.g., ingest orchestration, media/metadata normalization, rights‑aware APIs, timecode‑based services).

  • Integrate a third‑party MAM with Netflix’s hybrid infrastructure, ensuring a coherent media and metadata flow across systems.

  • Implement robust data models and APIs for live media assets, metadata, rights and restrictions, and time‑aligned events.

  • Collaborate with partner teams (engineering, production, operations, vendors) to deliver end‑to‑end workflows for live and near‑live content.

  • Work with AI/ML teams and services to incorporate automated tagging and indexing into the MAM ecosystem.

  • Own services in production, including observability, reliability, and on‑call, for systems that support time‑critical live workflows.

About you

  • 5+ years of experience building and operating backend/platform services in production.

  • Strong foundation in distributed systems and event‑driven architectures.

  • Experience in at least one of:

Media platforms, MAM/DAM systems, or video workflows (live or VOD), or

  • Complex integrations between 3rd‑party platforms and in‑house infrastructure.

  • Comfortable working in a hybrid cloud + on‑prem environment; able to reason about large‑scale storage, transcoding, and messaging systems.

  • Platform mindset: you design reusable services and clear APIs for multiple internal customers.

  • Care deeply about reliability and observability, especially for time‑sensitive workflows.

  • Strong collaborator who can work effectively with engineering, product, and operations partners.

  • Self‑directed, pragmatic, and comfortable operating with freedom and responsibility.

Bonus / Nice to Have

  • Experience with live sports media workflows or Live Sports MAM (e.g., multi-feed ingest, melts/highlights, sports-specific metadata and stats integration).

  • Prior work integrating vendor MAM systems into in‑house media infrastructure at scale.

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 $388,000.00 - $558,000.00. This compensation range will vary based on location.

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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

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.

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About Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

Employees

Los Gatos

Headquarters

$280B

Valuation

Reviews

4.2

15 reviews

Work Life Balance

4.2

Compensation

4.5

Culture

3.2

Career

3.8

Management

3.0

65%

Recommend to a Friend

Pros

Very high compensation packages (430k-700k)

Fully remote work opportunities

All cash compensation structure

Cons

Lower compensation than expected in some cases

Difficult interview process

Simple/uninteresting technical problems

Salary Ranges

1,869 data points

Mid/L4

Mid/L4 · Analytics Engineer

7 reports

$274,996

total / year

Base

$211,536

Stock

-

Bonus

-

$274,996

$358,605

Interview Experience

4 interviews

Difficulty

4.0

/ 5

Offer Rate

25%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Team Matching

7

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit