We're a fully remote team building the next-gen Sports video analytics platform for professional teams. Our clients are pro scouting and coaching teams in the NBA, FIBA and MLB.
The platform is massive (currently 10 petabytes) and we're scaling rapidly, so imagine our scalability challenges require top engineering teams to solve them. The company is 250 people globally which is large enough to work on a massive scale platform but at the same time, small enough so that engineers have a massive impact in their day to day jobs.
Our Engineers work in a variety of projects including:
• Creating internal and external APIs to support both data and video
• Building complex data models supporting the business rules of sports
• Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure
• Scaling out current systems to support new sports
• Building build and test automation systems
• Building complex reporting data structures for analytical systems
We’re looking for someone with really strong experience in C#, .Net Core and NoSQL database (MongoDB Preferred) that can help us build the sports platform of the future. The team always look for very experienced people who's not only very proficient with C# but can also have experience architecting systems.
Tray is a visual programming tool for APIs. It’s a low-code user experience that allows anyone* to precisely instrument the data flow between their SaaS tools. *No dev resources required.
We’re a well-funded startup with a team in San Francisco and 60+ in our London Engineering HQ. Having increased our revenue by 4.5x in 2018 we’re growing fast and looking for Engineers to grow domain expertise and best practise within service-specific squads. We’re small and dynamic, open to new ideas and the work you do now will have a big impact on shaping how we grow our team and our product.
There’s an app out there for everything but most cloud software services are difficult to use together and doing so is very labour intensive. With our cutting-edge platform, our users can freely hack & strategise automations that leverage conditional logic and enterprise-class architecture.
Customers like Reddit, GitHub, Lyft & IBM are already reinventing how they work through Tray. Help us usher in the era of automation.
We're a fully remote team building the next-gen Sports video analytics platform for professional teams. Our clients are pro scouting and coaching teams in the NBA, FIBA and MLB.
The platform is massive (currently 10 petabytes) and we're scaling rapidly, so imagine our scalability challenges require top engineering teams to solve them. The company is 250 people globally which is large enough to work on a massive scale platform but at the same time, small enough so that engineers have a massive impact in their day to day jobs.
Our Engineers work in a variety of projects including:
• Creating internal and external APIs to support both data and video • Building complex data models supporting the business rules of sports • Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure • Scaling out current systems to support new sports • Building build and test automation systems • Building complex reporting data structures for analytical systems
We’re looking for someone with really strong experience in C#, .Net Core and NoSQL database (MongoDB Preferred) that can help us build the sports platform of the future. The team always look for very experienced people who's not only very proficient with C# but can also have experience architecting systems.
Have a look at the job description here https://apply.workable.com/synergysports/j/9C8F6BC28F/ and apply if you are interested.
Note: Please, mention on the application form that you've seen this post on HN.