We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

You’ll have the opportunity to bring beautiful solutions to life through clean and maintainable code, contribute to feature development from day one, and work closely with a passionate and diverse team of engineers, product managers, and designers.

We follow a Tribes and Squads model, with multiple product teams currently hiring Senior Backend Engineers. Depending on your interests and experience, you could be building anything from Sports and Gaming features to player-focused experiences covering everything from registration, deposits, withdrawals all the way to player engagement, and retention. Every squad plays a key role in delivering seamless, secure, and engaging user experiences — and your work will directly impact how we stand out in a highly competitive market!

We're are looking for someone who has:

• A minimum of 5 years of hands on experience in a large scale production environment.


• Has experience engineering high-quality, highly scalable software in any object-oriented or Functional language


• A willingness to learn new technologies (we are working with Golang, Python, Erlang, Elixir)


• A talent for clean coding, simple solutions, automated testing, and continuous deployment


• A passion for working in the cloud and automation


• Experience working with distributed systems


• Experience building and improving upon observability


• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in AWS (Cloudformation, MSK, S3, Cognito etc..)


• An interest in Functional Programming


• Knowledge of Kafka


• Front end development experience in React/Vue.js

What you'll be doing:

• Collaborating closely with geographically distributed engineering teams to design and implement scalable and robust software solutions.


• Enhancing the existing platform to increase the amount of business functionality driven by end-user configuration


• Enhancing system automation (scale, resiliency, deployment)


• Maintaining, enhancing and creating common platform components and libs (AWS, Go, Python, Erlang, Kafka)


• Working with technical and non-technical stakeholders from the wider organization to understand and drive requirements and improvements across the platform


• Building on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency


• Building on our observability tooling and infrastructure to better understand the capabilities of our systems


• Growing the engineering community, building on the existing process and practices


• Leading initiatives and tasks and driving them to completion


• Drive continuous improvement initiatives to enhance team productivity and efficiency.