If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology. We empower the world’s leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the “moments that matter” to their customers and their business. As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Our platform does what legacy observability and monitoring tools can’t: we eliminate the gaps between system performance, user experience, and engagement, enabling issue identification, impact assessment, and root cause resolution in seconds. This isn’t just important, its game-changing! Our platform processes over 5 trillion daily events, providing real-time, cost-effective, stateful computation across diverse data sets. This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue.

 

We are seeking for an exceptional engineering role with a proven record of delivering consistently in high growth and high scale environment. This role is expected to play a vital role in supporting high growth business, drive innovation and deliver the next generation of highly scalable, modular, and extensible OLAP platform based on ClickHouse. The next generation of OLAP platform built on ClickHouse is one of foundation technologies at Conviva and provide a common set of capabilities and interfaces to all Conviva products supporting real-time, near real-time and off-line analytics with an eye on the future. This role is expected to have rich experiences in ClickHouse development and administration; experiences in debuging & customize ClickHouse based on Community Open Source version.

 

What Success Will Look Like:

• Responsible for the evolution of next generation’s OLAP platform based on ClickHouse at Conviva;
• Design, build and maintain the highly reliable & scalable OLAP platform and corresponding pipelines with ClickHouse to support Conviva business transformation;
• Online / offline debug and trouble shooting on OLAP platform / ClickHouse to resolve any issues with E2E data pipeline;
• Design, customize and develop new features based on community Open Source ClickHouse version to align with the direction of Conviva’s OLAP technology evolution, including but not limited to: storage-compute separation architecture;
• Responsible for optimized performance for all users of OLAP Platform in various use cases. Including query tuning, optimization and ClickHouse source code improvement to archive the goals;

 

Who You Are & What You've Done: 

• Proven experience in design, implementation, and testing high-performance DBMS features in a complex C++ codebase like ClickHouse;
• Excellent background in database internals including query languages, access methods, storage, and/or connectivity;
• Demonstrated ability to read and write in C++, excellent programming and debugging skills;
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts;
• Good understanding of networking and I/O on Linux; familiar with performance optimization techniques and tools on Linux platform;
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning etc
• Experience with big data infrastructures like Spark, Flink, Kafka, Druid, HDFS etc. to handle TB/PB+ data;
• Good communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

 

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.