Scuba Analytics Inc

Reporting to: Director, Software Engineering. Our roots are planted firmly in innovation, with a founding team of former Facebook executives and leadership that boasts veterans from Kantar, Sonos, and Splunk.. Features we have worked on in the past include our custom query planner, distributed ingest pipeline, lightweight ETL library using Python generators, incremental metadata management system, query cache and SCUBA CLI.. Automated Testing - Our best defense against spending time fixing bugs after we ship, is to plan ahead, and author features that contain a solid battery of unit and integration tests.. Heavy engineering emphasis on backend development (with exposure to UI with JavaScript)

sr software engineer

Sr. Software EngineerFull StackPlatform Features Design / Delivery

Remote-US

Reporting to: Director, Software Engineering

WHY SCUBA?

Join SCUBA, the pioneering Decentralized Collaborative Decision Intelligence platform, and become an instrumental part of a team trusted by global giants like Microsoft, McDonald's, Twitter, and Warner Bros. SCUBA offers unparalleled, real-time decision intelligence across billions of touchpoints, all while maintaining the utmost respect for privacy. Our roots are planted firmly in innovation, with a founding team of former Facebook executives and leadership that boasts veterans from Kantar, Sonos, and Splunk.

ABOUT YOU

You have architected systems on your own, and are familiar with distributed systems. You have solved tough problems across different domains; when challenged with big, new problems you are able to come up with a space of possible solutions, advocate for an approach, and implement seamlessly. You are looking to apply your skills to build a fundamentally new product that will one day be used by digital businesses everywhere. Lastly, you are looking to do this within a small, elite team of engineers, at a company where we strongly value treating each other well and helping each other succeed.

WHAT YOU'LL BE DOING

Building New Product Features and Capabilities -  We're building a product unlike any other. Every day we work to solve technical problems in uncharted territory, so that our product can be the best on the market. Features we have worked on in the past include our custom query planner, distributed ingest pipeline, lightweight ETL library using Python generators, incremental metadata management system, query cache and SCUBA CLI.
Creating a Great Product Experience For Customers -  SCUBA is active 24/7 as it helps our customers analyze billions of rows of sophisticated data. Every engineer knows that bugs happen - but we work hard to try to not only avoid them in the first place, but also fix them as soon as possible. The stakes are high when we log into production environments to diagnose the toughest distributed issues, but the rewards outweigh the risks.
Automated Testing -  Our best defense against spending time fixing bugs after we ship, is to plan ahead, and author features that contain a solid battery of unit and integration tests.
Collaborating -  We work with our Product, QA, Documentation, Support and other teams to build the best software we can. One of the advantages of being a small startup is that we have great opportunities to collaborate, share knowledge, and innovate as a team.

SKILLS & KNOWLEDGE

5+ years of experience engineering scalable software product
Heavy engineering emphasis on backend development (with exposure to UI with JavaScript)
Comfortable working with and developing highly concurrent systems
Applied experience with Python required
Excellent engineering skills and strong computer science fundamentals (BS in Computer Science or equivalent experience/knowledge)
Demonstrated strong verbal and written communication skills
Experience working with system performance and resource optimization strategies
Self motivation and team spirit - An ability to take initiative and solve problems without direction from others is crucial. At the same time, we value and appreciate the opportunity to work with each other as a team.
Analytics experience - We work with data daily, so an interest in and experience with collecting, importing, visualizing, exploring, and/or analyzing data is key.

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