Golang Job: Full Stack Engineer

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Job Skills

Company

Sportradar AG

Location

Vienna - Austria

Job type

Full-Time

Golang Job Details

As a member of the Social Ads team you'll be working on building out our cutting edge platform, connecting sports fans with betting content they will love, via social media platforms, like Facebook and Instagram. As a team we focus on social network integration but we are part of a larger tribe that utilises the same underlying technology to power both display and direct publisher integrations.
We’re looking for someone who loves working in a collaborative environment and likes to work on all aspects of the software stack, from API design to front-end UI. You will work as part of a small cross-functional team who has control on how to solve problems whether that is through architecting solutions or technologies.
We use a mix of modern tools and languages and firmly believe in using the best tool for the job, e.g. Golang, Node.JS, Kubernetes, Vue, React, TypeScript, MongoDB and PostgresSQL.
We utilise both Google Cloud Platform and AWS for our infrastructure and as Engineers we are responsible to fulfil the devops function with help and support from our Platform team.
We're currently working on
  • Building tools that allow us to scale to 5x scale of customers this year
  • Helping our customers achieve ever-increasing campaign performance by optimising the signals measured on their site
  • Increasing our creative offering to market-leading levels
  • Experimenting on new and emerging marketing platforms
Requirements we're looking for
  • Full-stack development experience
  • JavaScript knowledge, especially using React/Vue, TypeScript and Node.js
  • Experience developing and operating microservices; health checks, load balancing, service discovery, metrics, etc.
  • Familiarity with microservices, Kubernetes, and a DevOps culture
  • Experience utilising databases, SQL or NoSQL
  • Deep understanding of approaches to testing
You may also bring - or like to gain - skills in any of the following
  • Professional experience with Go (Golang)
  • Optimisation and scaling of microservices
  • Machine Learning
  • Google Cloud Platform
  • Kubernetes
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