Are you interested in building technology to change the future of digital video analytics using best in class technologies such as Spark, Kubernetes, ElasticSearch and Python? Do you want to make an impact with a close-knit team working on mission-critical data products, microservices, and APIs?  Are you enthusiastic about Machine Learning (BERT, LLMs, etc.), MLOps, and related technologies?  Do you want to ship code as soon as you join and scale systems at a successful and rapidly growing company?

Tubular goes beyond real-time insights about the performance of online videos across all countries, devices, and all major platforms, by also making available the performance of everything else: competitive analysis, marketing demand, industry and thematic trends.  

We have empowered thousands of creators and hundreds of Enterprise customers to identify industry trends across social video in order to create the right video content at the right time, delivered to precisely the right audience. Tubular’s innovative products enable our customers to improve their organic and paid promotion, find and partner with influencers and brands, and report it all out efficiently. Tubular analyzes the world of digital video engagement and tracks 10+ billion videos and live streams across the major platforms, including YouTube, Facebook, Twitter, Instagram, TikTok, and Twitch.

Earlier this year, Tubular joined forces with Chartbeat, the industry-leading content analytics software for digital publishers. Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms.

Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. By joining two comprehensive network-level datasets, we’ll help our partners understand and measure a larger proportion of audience interactions and, in turn, make smarter decisions that grow reach and revenue. We now serve more than 1,000 brands globally, including influential content publishers like The New York Times, the BBC, ESPN, Gannett, Vox, BuzzFeed, Paramount, WB, Mediahuis, Hearst, McClatchy, and GQ.

Key Duties & Responsibilities:

• Python development of microservices, APIs, and related frameworks powering our core customer-facing applications
• Write large-scale distributed Spark data pipelines using Python and JVM languages
• Work with the Head of Architecture and Infrastructure team to design and implement efficient storage technology using distributed technologies such as ElasticSearch, Hive, AWS Aurora, and others
• Collaborate with the Data Science team to deliver innovative ML-driven products to market
• Work closely with Product Management in an Agile environment to ideate on, plan, and iteratively develop and release data-driven products

What You Bring To The Role:

• 3+ years of experience in a professional software engineering role
• Expert-level Python programming skills
• Excellent collaboration and communication skills, especially as they relate to Agile software development concepts such as XP and ScrumExperience with AWS, Azure, or similar cloud technologiesSome experience working on distributed data processing systems such as Spark, MapReduce, Kafka, or similar
• An interest in learning about the social media / video domain
• Pride in identifying the right-sized solution to technical challenges
• A desire to put your skills to work on mission-critical systems where your contributions really make difference
• Excellent character, including a strong sense of ownership and responsibility
• Willingness to participate in periodic on-call dutiesB.A./B.S., M.S., or Ph.D. in Computer Science or an equivalent field preferred