Sr. Software Engineer -- Full Stack -- Platform Feature Design / Delivery -- REMOTE

Published: 2024-08-12

Scuba is a continuous intelligence platform designed to unify customer experience management. We bring an easy-to-use platform to the entire organization, instead of requiring trained data analysts to produce a limited set of static reports to make data-driven decisions. Our unique approach was originated by Facebook engineers who found the that the best commercial tools were not powerful enough to ...

Job details

Boston, MA / Remote US
Remote
Full-time
Sr. Software Engineer -- Full Stack -- Platform 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.
 
Apply