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Netflix Qa Jobs (NOW HIRING)

Senior Software Engineer, Backend

New York, NY ยท On-site

$180K - $250K/yr

Ideal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ... Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$150K - $250K/yr

... hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San ... Our customers include of the best teams in the world like Netflix, Ramp, Applied Intuition and ...

Software Developer

Dublin, CA ยท On-site

$45 - $70/hr

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... and quality assurance metrics, significantly improving visibility and response time across ...

Senior Technical Program Manager

Los Altos, CA ยท On-site

$185K - $220K/yr

... and Netflix. To learn more about Afero, please visit www.afero.io. Job Summary: We are seeking a ... Lead program execution across diverse engineering teams (Firmware, Mobile, Cloud, and QA) to ensure ...

Senior Technical Program Manager

Los Altos, CA ยท Hybrid

$185K - $220K/yr

... and Netflix. To learn more about Afero, please visit www.afero.io. Job Summary: We are seeking a ... Lead program execution across diverse engineering teams (Firmware, Mobile, Cloud, and QA) to ensure ...

Senior Technical Program Manager

Los Altos, CA ยท Hybrid

$185K - $220K/yr

... and Netflix. To learn more about Afero, please visit www.afero.io. Job Summary: We are seeking a ... Lead program execution across diverse engineering teams (Firmware, Mobile, Cloud, and QA) to ensure ...

Work with remote QA analysts, who will report to you in carrying out tasks that can be repeated at ... As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and ...

Senior iOS Engineer

New York, NY ยท On-site

$160K - $240K/yr

Netflix or PayPal), while newer products like TransactionLink support the retrieval of receipt ... Comfortable executing thorough QA validation prior to releases * Clear and effective communication ...

Quality Assurance: Implement quality control processes to ensure the service outcome meets or ... Our partners include Paramount, Netflix, Bauerfeind, NBCUniversal, Warner Bros., and more. Learn ...

Tooling Eng 2 (50274)

Oxnard, CA ยท On-site

$35 - $53/hr

... the Netflix series: Drive to Survive. The Tooling Engineer 2 (TE2) has an in-depth knowledge of ... Carry out quality assurance tests on new designs. * Provide training to junior Tooling Engineers ...

... the Netflix series: Drive to Survive. The Tooling Engineer 2 (TE2) has an in-depth knowledge of ... Carry out quality assurance tests on new designs. * Provide training to junior Tooling Engineers ...

Senior Consultant

Los Angeles, CA ยท On-site +1

$90K - $110K/yr

... QA checks on programs, tab specs, and reports Lead analysis on qualitative and quantitative data ... binge on Netflix. To that aim, we've put together the kind of generous benefits package you'd ...

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Netflix Qa information

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How much do netflix qa jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for netflix qa in the United States is $46.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Netflix Qa position, and why are they important?

To thrive as a Netflix QA, you need a solid understanding of software quality assurance processes, test automation, and debugging, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, JIRA, TestRail, and experience with scripting languages like Python or JavaScript are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help individuals excel in this fast-paced environment. These skills and qualities are crucial for ensuring the delivery of high-quality streaming experiences to millions of users worldwide.

What is a Netflix QA job?

A Netflix QA (Quality Assurance) job involves testing and ensuring the quality of Netflix's products, such as apps, streaming services, or internal tools. QA professionals identify bugs, verify fixes, and ensure a seamless user experience across different devices and platforms. They may use manual testing, automated scripts, and analytical tools to assess performance, usability, and functionality. Strong attention to detail and problem-solving skills are essential for the role.

What does a typical day look like for a Netflix QA professional?

A typical day for a Netflix QA professional involves collaborating closely with developers, product managers, and UX designers to understand project requirements and identify potential areas for testing. You will write and execute automated and manual tests, log and troubleshoot issues, and verify bug fixes to ensure product quality. Daily stand-up meetings and cross-functional teamwork are common, facilitating open communication and rapid problem-solving. This role offers exposure to innovative technologies and the opportunity to help shape user experiences enjoyed by audiences across the globe.

What cities are hiring for Netflix Qa jobs? Cities with the most Netflix Qa job openings:
What are the most commonly searched types of Netflix Qa jobs? The most popular types of Netflix Qa jobs are:
What states have the most Netflix Qa jobs? States with the most job openings for Netflix Qa jobs include:

Senior Software Engineer, Backend

Mecka AI

New York, NY โ€ข On-site

$180K - $250K/yr

Full-time

Re-posted 12 days ago


Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems - where model performance is dictated by data quality.
The Role
We are hiring a Senior Backend Engineer to build the systems that ingest, process, store, and serve petabyte-scale video and sensor data.
This is a true senior role. You will own architecture and reliability for production services that operate at extreme scale: heavy cloud networking, distributed GPU compute (thousands of GPUs), millions of GPU-hours, and massive video pipelines.
Ideal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ads/streaming, CDN/edge video, large-scale media processing).
What You'll Work On
Video + Data Platform Backend
  • Design and build high-throughput services for upload/ingest, processing, indexing, retrieval, and access control.
  • Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and model training.
Scale, Reliability, and Quality
  • Own service quality end-to-end: correctness, latency, uptime, capacity planning, and cost.
  • Build observability (metrics/logs/tracing), incident response, and operational tooling that prevents recurring failures.
Distributed Compute + Networking
  • Build systems that coordinate large jobs across cloud infrastructure and GPU fleets.
  • Make data movement reliable and fast: storage I/O, network throughput, queuing, retries, idempotency, and backpressure.
Who You Are
Required Background
  • 7+ years of backend/software engineering experience (or equivalent impact).
  • Strong system design fundamentals and proven experience operating production systems.
  • Excellent debugging and operational judgment (you can find the root cause, not just patch symptoms).

Strong Signals
  • You have built backend systems for video/media at scale (streaming, transcoding, processing, storage, CDN/edge, ingestion, metadata/search).
  • You think in terms of failure modes, invariants, and clean interfaces.
  • You write maintainable systems with crisp docs and strong ownership.
Why This Role
  • Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.
  • Operate at a scale that forces great engineering: data volume, networking, reliability, and compute orchestration.
  • High ownership and direct impact across product, operations, and research.