> Markdown version of [/jobs/ext/1727597-distributed-systems-engineer-l5-data-platform-new](https://www.wearedevelopers.com/jobs/ext/1727597-distributed-systems-engineer-l5-data-platform-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distributed Systems Engineer (L5) - Data Platform New - **Company:** Netflix, Inc. - **Location:** Reading, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Abstraction Layers, Big Data, C++ (Programming Language), Content Delivery Networks, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Memory Management, Fault Tolerance, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Data Processing, Multithreading, Data Storage Technologies, Apache Spark, Caching, Information Technology, Druid, Free and Open-Source Software, Data Management, Presto, Golang - **Published:** July 14, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/distributed-systems-engineer-l5-data-platform/351422 ## About the Role * 7+ years experience in crafting complex, scalable distributed data infrastructure * Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management * Proven track record of developing and maintaining high-impact systems * Experience building and operating scalable, fault-tolerant, distributed systems * You have a BS in Computer Science or a related field ## Description We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S. Spotlight on Data Platform Teams: Big Data Compute {Spark} The BDCS team is responsible for providing the cloud-native platform for distributed data processing at Netflix. This team is central to batch data processing in Data Platform. It provides support for Spark to ETL data into the Exabytes-scale data warehouse and support large scale analytics on the data to provide insight to all the Netflix functions such as A/B testing, Recommendations, Machine Learning to name a few and enable new business initiatives such as ads and live. We are looking for exceptional talent with experience in Spark, Presto / Trino, Druid, Iceberg and distributed database systems in general. Roles in this team involve solving super interesting and challenging problems of working with data at scale, building features and performance enhancements and working closely with open source communities to shape the projects and make contributions. Online DataStores - Caching The Online Data Stores team is developing and maintaining highly performant, reliable, and cost-efficient data storage solutions at Netflix's extreme scale. These data stores are built from a combination of world-class in-house solutions that are open-sourced and used by top technology firms, as well as state-of-the-art data solutions from public cloud offerings. Additionally, we enhance developer productivity by providing opinionated and intuitive, secure abstraction layers on top of the base storage systems. Our focus is a customer-obsessed infrastructure team that strives to accelerate the growth and diversification of Netflix's business verticals through world-class data storage technologies. Our team also seeks to impact the greater technology landscape by engaging with open source communities, actively contributing to, and responsibly stewarding the development and use of open source software. We provide extremely low-latency yet high-throughput in-memory and distributed data storage solutions across the company. Our services power mission-critical Tier-0 Netflix services such as the streaming Catalog and Content Delivery Network (CDN) metadata. We are looking for passionate and innovative software engineers to join our team to build novel caching architectures that push the limits of performance, cost efficiency, utility, and usability. Analytics Infrastructure and Enablement The Analytics Infrastructure and Enablement team offers a platform that enables data practitioners to develop and manage data models for broad analytical use and to produce analytic products with efficiency and ease. The ultimate goal of the team is to enable broader self-service of high-fidelity analytics by developing robust APIs, user-friendly interfaces, and semi-automated data management and governance systems. Our team offers abstractions on Netflix's expansive data warehouse, and other data platform components, to provide easy access to semantic data models and easier development of analytical reporting and visualizations., * Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills. * Architecting and building a robust, scalable, and highly available distributed infrastructure. * Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams. * Sharing our experiences with the open source communities and contributing to Netflix OSS. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes](https://www.wearedevelopers.com/videos/100356-super-scaling-for-the-super-bowl-how-to-survive-30-million-users-hitting-your-backend-in-30-minutes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)