**Job Highlights:**
* **Position:** Experienced Full Stack Software Engineer
* **Company:** arenaflex
* **Location:** Remote
* **Start Date:** Immediate openings available
* **Compensation:** A competitive salary
**Job Description:**
At arenaflex, we're revolutionizing the way people engage with the world through entertainment, and we're constantly pushing the boundaries of how content is created and delivered to a global audience. With over 30 languages streamed in 190 countries, we've surpassed 220 million paid subscribers and are venturing into new forms of entertainment like gaming. Our data platform teams empower us to harness data to bring joy to our members in countless ways. We provide integrated data platforms and tools for various business capabilities at arenaflex, enabling them to make data-driven decisions. We do all the hard work to make it easy for our colleagues to work with data effectively, safely, and efficiently. We strive to be the best in building an elite data foundation as arenaflex drives the way to be the most popular and unavoidable destination for global web entertainment.
**About the Role:**
We're seeking experienced full stack software engineers to help advance and develop our foundation as we pursue our aggressive goal of 500 million members worldwide. We're committed to building a diverse and inclusive team to bring new perspectives as we tackle the next set of challenges. And we're open to remote applicants. We value what you can do, from anywhere in the U.S.
**Focus in Data Platform Teams:**
* **Data Access Layer:** Learn More
The Data Access Layer team builds and operates an adaptable query interface that works with data considerations to operate at sub-millisecond latencies while enabling Netflix microservices to more easily store, consume, and manage their data. This team holds a significant responsibility to empower Netflix microservices to fulfill their constantly evolving and advancing data needs.
* **Data Platform Foundation:** Learn More
The Data Platform Foundation team serves as a platform for our own data platforms. Our shared framework and tooling enable Netflix to rapidly improve on providing cutting-edge data and analytics platforms to the rest of the organization without building tailor-made platforms for each new framework. To do this, we create high-impact frameworks, control, and organization frameworks that are calibrated for the requirements of running our data platforms at scale; particularly, many of our tools and frameworks are written in Python, so this is an excellent team to consider if you enjoy working in various languages.
* **Data Development and Handling:** Learn More
Offers a preoccupied self-service cleared way item to empower varied client persona across Netflix meet their low-dormancy Data Development and Handling necessities; enables reflection throughout complex Constant structures like Kafka and Flink; offers a Pattern driven handling experience; puts resources into functional computerization, dependability and instruments for unsurprising information quality.
* **Big Data Figure:** Learn More
Responsible for providing the cloud-local stage to disseminated information handling at Netflix. This group is vital to cluster information handling in Information Stage. It offers help for Flash, to ETL information into the Petabytes-scale information stockroom and access that information utilizing Flash and Voila/TrinoDB. It also gives sub-second dormancy to a specific class of inquiries utilizing Druid. We are searching for outstanding ability with experience in Flash, Presto/Trino, Druid, Icy mass and dispersed data set frameworks overall. Jobs in this group include tackling very fascinating and testing issues of working with information at scale, building highlights and execution improvements and working intimately with open source networks to shape the ventures and make commitments.
* **Big Data Arrangement:** Learn More
Offers the stage for planning, organizing and executing enormous information occupations and work processes in a self serve way. These stages incorporate essential administrations that have all ETL and ML jobs running on Enormous Information Frameworks at Netflix. These completely disseminated frameworks are continually advancing for Netflix scale with cutting-edge innovation. We are moving towards occasion driven and wise arrangement which would require insignificant client input/mediation.
**What You'll Love About This Job:**
* Addressing genuine business needs at large scale by applying your programming and insightful critical thinking abilities.
* Architecting and building a powerful, versatile, and extremely accessible dispersed foundation.
* Driving cross-functional drives and working together with engineers, item supervisors, and TPM across groups.
* Imparting your encounters to the open source networks and adding to arenaflex OSS.
**About You:**
* You have 2+ years of experience in building large-scale distributed systems or applications.
* You are capable in the plan and advancement of Tranquil web administrations.
* Experienced in building and working versatile, shortcoming lenient, circulated frameworks.
* You are knowledgeable about Java or other article arranged programming dialects.
* Multi-stringing is a test that you are open to handling.
* You have a BS in Software engineering or a connected field.
**Ready to Apply?**
If you're a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We're excited to review your application.