At arenaflex, we are on a mission to engage the world and revolutionize how entertainment is envisioned, created, and delivered to a global audience. As a leading force in streaming entertainment, we currently stream content in over 30 languages across 190 countries, serving more than 220 million paid subscribers. We are also expanding into exciting new frontiers like gaming, podcasts, and live experiences.
The data systems teams at arenaflex play a pivotal role in enabling us to leverage data to delight our members in countless ways. We provide unified data platforms and tools for various business functions across the organization, empowering them to make critical, data-driven decisions. We do the heavy lifting to make it easy for our colleagues to work with data efficiently, securely, and competently. Our goal is to set the industry standard in building a world-class data infrastructure, as arenaflex paves the way to becoming the most popular and ubiquitous destination for global internet entertainment.
We are searching for talented distributed systems engineers to help advance and grow our infrastructure as we pursue our ambitious goal of reaching 500 million people worldwide. We are committed to building a diverse and inclusive team that brings new perspectives as we tackle the next set of challenges. We welcome remote candidates from anywhere in the U.S. We value what you can do, regardless of your physical location.
We are seeking an experienced Distributed Systems Engineer (L4) to join our Data Platform team. This is a fantastic opportunity to work on challenging problems at massive scale, architecting robust systems that power critical business operations for one of the world's most innovative entertainment companies. In this role, you will design, build, and maintain scalable data infrastructure that enables thousands of internal teams to derive insights and make data-driven decisions.
This position offers the chance to work with cutting-edge technologies and collaborate with brilliant minds across the organization. You will have the opportunity to contribute to open-source projects, participate in technical discussions, and shape the future of our data platform.
The Database Access Platform team builds and operates a flexible query gateway that facilitates data abstractions to work at sub-millisecond latencies while allowing arenaflex microservices to more efficiently store, consume, and manage their data. This team holds significant responsibility in enabling arenaflex microservices to meet their ever-growing and evolving data needs.
You will be passionate about distributed data systems technology, active in the open-source community, and believe in operating what we own. You will be part of a small team responsible for business-critical systems and committed to a culture of feedback and engineering excellence.
The Data Platform Infrastructure team serves as a platform for our own data platforms. Our shared infrastructure and tooling enable arenaflex to quickly iterate on providing cutting-edge data and analytics systems to the rest of the organization without building custom platforms for each new system. To achieve this, we create high-impact infrastructure, control, and deployment systems tailored to the needs of running our data systems at scale.
Many of our tools and systems are written in Python, making this an excellent team to consider if you enjoy working in multiple languages.
This team offers a self-service throughput-optimized pathway product to enable diverse client personas across arenaflex to meet their low-latency Data Ingestion and Processing requirements. They enable abstraction over complex streaming systems like Kafka and Flink, offer a graph-driven processing experience, and invest in operational automation, reliability, and tools for predictable data quality.
This team is responsible for providing the cloud-native platform for distributed data processing at arenaflex. They are critical to batch data processing in Data Platform. The team offers support for Spark, to ETL data into the petabyte-scale data warehouse and access that data using Spark and Presto/Trino. They also provide sub-second latency for a specific class of queries using Druid.
We are looking for exceptional talent with experience in Spark, Presto/Trino, Druid, Iceberg, and distributed database systems overall. Jobs in this group involve tackling very interesting and challenging problems of working with data at scale, building features and performance improvements, and working closely with open-source communities to shape the projects and make contributions.
This team offers the platform for scheduling, orchestrating, and executing big data jobs and workflows in a self-serve manner. These platforms include core services that have all ETL and ML responsibilities running on Big Data Systems at arenaflex. These fully distributed systems are constantly evolving for arenaflex scale with best-in-class technology.
We are moving towards event-driven and intelligent orchestration which would require minimal user input/intervention.
At arenaflex, we invest heavily in your professional development and career growth. As part of our team, you will have access to:
arenaflex is renowned for its unique culture that emphasizes freedom and responsibility. We believe in hiring the best people and then getting out of their way. Our work environment is characterized by:
We offer competitive compensation and comprehensive benefits to support your well-being and professional growth:
This would be the most amazing opportunity if you enjoy:
If you are passionate about distributed systems, data engineering, and want to work on challenges that impact hundreds of millions of people worldwide, we want to hear from you! Apply now and be part of building the future of entertainment.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.