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Software Engineer 5 - Developer Automation Platform jobs in United States
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Netflix · 6 hours ago

Software Engineer 5 - Developer Automation Platform

Netflix is a company dedicated to entertaining the world and is seeking a Software Engineer 5 to join their Test Automation Platform team. This role involves designing, building, and operating backend services and infrastructure for the Test Automation platform, focusing on reliability, scalability, and cost efficiency.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design, build, and operate backend services and infrastructure that power the Test Automation platform, with a focus on reliability, scalability, and cost efficiency
Own and evolve core infrastructure components such as service deployment and delivery, platform datastores (MongoDB)
Standardize and modernize service infrastructure by moving services onto paved paths for observability, provisioning, capacity management, security
Analyze and optimize critical systems like MongoDB for capacity, performance, and cost, including sharding, version upgrades, and data lifecycle strategies (TTL, archival, hot/cold storage)
Improve operational excellence by rationalizing metrics and alert sources, enhancing dashboards and alerts, and building runbooks
Drive resilience and reliability initiatives such as load testing, failure injection testing, disaster recovery and high-availability strategies, and post-incident improvements grounded in cost/benefit tradeoffs
Collaborate with partner teams on paved paths, storage and compute offerings, and ETL/data pipelines

Qualification

Backend engineeringCloud technologiesDistributed systemsMongoDBData pipelinesResilience engineeringCommunicationCollaborationInitiative

Required

Design, build, and operate backend services and infrastructure that power the Test Automation platform, with a focus on reliability, scalability, and cost efficiency
Own and evolve core infrastructure components such as service deployment and delivery, platform datastores (MongoDB)
Standardize and modernize service infrastructure by moving services onto paved paths for observability, provisioning, capacity management, security
Analyze and optimize critical systems like MongoDB for capacity, performance, and cost, including sharding, version upgrades, and data lifecycle strategies (TTL, archival, hot/cold storage)
Improve operational excellence by rationalizing metrics and alert sources, enhancing dashboards and alerts, and building runbooks
Drive resilience and reliability initiatives such as load testing, failure injection testing, disaster recovery and high-availability strategies, and post-incident improvements grounded in cost/benefit tradeoffs
Collaborate with partner teams on paved paths, storage and compute offerings, and ETL/data pipelines
You think in terms of platforms and paved paths and like building opinionated, reusable patterns and libraries that other engineers can rely on
You have a strong infrastructure and backend engineering background and enjoy working across services, storage, compute, and operations for large-scale platforms
You have experience working with cloud provider technologies (AWS, GCP, Azure)
You have experience with distributed systems fundamentals such as latency, throughput, backpressure, retries, idempotency, and consistency and availability tradeoffs
You have significant experience in at least one backend programming language
You understand networking details of client/server communication and can debug issues involving HTTP, TCP, DNS, etc
You take initiative and drive projects with dedication
You excel in collaborative settings and use your strong communication skills to influence outcomes

Preferred

Experience with MongoDB sharding, indexing, performance tuning, data lifecycle management
Experience with infrastructure for large-scale test or CI systems, including scheduling, queuing, parallel execution, and resource-aware scaling
Experience building or operating data pipelines and ETL from operational data stores into analytics systems such as Iceberg/BDP, data lakes, or data warehouses
Familiarity with resilience engineering practices, including failure injection, DR and multi-region strategies, incident reviews, and Linux systems debugging from the command line

Benefits

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
Life and Serious Injury Benefits
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.

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)

Funding

Current Stage
Public Company
Total Funding
$72.11B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $67.2B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

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Gregory Peters
Co-CEO
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Ted Sarandos
Co-CEO
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Company data provided by crunchbase