The statistics Platform teams at Netflix permit us to leverage statistics to bring joy to our participants in lots of one-of-a-kind ways. We offer centralized information platforms and gear for numerous enterprise capabilities at Netflix, as a way to utilize our information to make critical statistics–pushed choices. We do all the heavy lifting to make it easy for our commercial enterprise partners to paintings with facts efficiently, securely, and responsibly. We aspire to lead the industry preferred in constructing a international–elegance facts infrastructure, as Netflix leads the manner to be the most famous and pervasive vacation spot for worldwide internet leisure.
we are looking for dispensed systems engineers to assist evolve and innovate our infrastructure. we are committed to building a diverse and inclusive team so as to bring new perspectives as we clear up the following set of demanding situations. in addition, we are open to faraway applicants. We cost what you may do from everywhere within the U.S.
spotlight on data Platform groups:
GenAI Platform
The venture of the GenAI Platform group is to enhance the productivity of the statistics science and engineering network at Netflix. this indicates enabling customers to spend greater time solving commercial enterprise issues and less time engineering decrease–degree systems. we are in search of a software Engineer to help construct a developer platform with a purpose to offer the building blocks for Netflix to effectively create GenAI packages. The platform will permit our teams to leverage LLM models and internally best-tuned fashions. it’s going to provide equipment to support the LLM improvement lifecycle, excessive–degree abstraction APIs for RAG, and equipment for prompt engineering, control, and LLM operations.
on line DataStores – Caching
the net records shops company offers managed, distinctly-scalable data storage solutions to satisfy Netflix’s operational necessities across all business strains (e.g. streaming, ads, gaming, and live activities). those data garage offerings are grouped into the subsequent domains:
– No-square Key/value
– search
– Relational
– Caching
– Composite (eg. graph, tree, time series, counter)
– not unusual Infrastructure
Our awareness is on developing and maintaining incredibly performant, dependable, and value–green statistics storage answers at Netflix’s excessive scale. those statistics shops are constructed from a mixture of global–magnificence in-house answers which might be open-sourced and used by top generation firms, as well as modern information solutions from public cloud services. moreover, we decorate developer productiveness through presenting opinionated and intuitive, comfy abstraction layers on pinnacle of the base storage systems.
the online statistics stores group is a consumer-obsessed infrastructure team that strives to accelerate the growth and diversification of Netflix’s commercial enterprise verticals via world–magnificence data garage technology. Our crew additionally seeks to effect the more era landscape by using engaging with open supply communities, actively contributing to, and responsibly stewarding the development and use of open source software program.
Caching team
The Netflix on-line facts stores Caching crew offers extremely low-latency yet excessive-throughput in-memory and dispensed records storage answers across the organization. Our services electricity undertaking–critical Tier-0 Netflix services including the streaming Catalog and content material delivery network (CDN) metadata. we’re seeking out passionate and progressive software engineers to join our crew to construct novel caching architectures that push the boundaries of overall performance, cost performance, software, and usefulness.
this would be your dream job in case you enjoy:
solving real business desires at large scale with the aid of making use of your software program engineering and analytical trouble–solving competencies.
Architecting and building a sturdy, scalable, and fairly to be had disbursed infrastructure.
leading pass–functional tasks and collaborating with engineers, product managers, and TPM across teams.
Sharing our experiences with the open source groups and contributing to Netflix OSS.
approximately you:
you’ve got 2+ years of experience in building big-scale dispensed structures capabilities or applications.
you are gifted inside the design and improvement of RESTful web services.
experienced in constructing and operating scalable, fault-tolerant, disbursed systems
you are skilled in Java or different item–oriented programming languages.
Multi-threading is a mission which you are comfy tackling.
you have a BS in laptop science or a related discipline.
a few greater things approximately us:
As a crew, we come from many one-of-a-kind international locations and our fields of training range from the humanities to engineering to computer science. Our group consists of product managers, application managers, designers, full-stack builders, allotted systems engineers, and information scientists. folks have the possibility to wear special hats, need to they choose to. We strongly consider this variety has helped us construct an inclusive and empathetic surroundings and look forward to including your angle to the combination!
Our reimbursement structure consists completely of an annual profits; we do no longer have bonuses. You select every 12 months how tons of your reimbursement you want in income versus inventory options. To decide your private pinnacle of market compensation, we rely on marketplace signs and consider your specific activity family, history, abilties, and revel in to decide your repayment inside the market variety. The variety for this position is $a hundred and seventy,000 – $720,000.
Netflix provides comprehensive blessings which includes fitness Plans, mental fitness support, a 401(ok) Retirement Plan with corporation suit, stock alternative application, incapacity applications, health financial savings and bendy Spending bills, family-forming benefits, and existence and extreme injury blessings. We also offer paid leave of absence programs. full-time hourly personnel accrue 35 days annually for paid day off for use for excursion, holidays, and ill paid time off. complete-time salaried employees are at once entitled to bendy break day.
