We are one of the largest sports betting operators across Europe and have recently started our expansion into Brazil, making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 90 million bets per month - why not join us?

We have offices based in Madrid but will be offering full flexibility with occasional meet-ups with your teams and leads in the office as well as collaboration with our offices in London, Zagreb and more!

We are looking for someone who has:

• A minimum of 4+ 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
• 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 (DynamoDB, OpenSearch, MSK, S3, Cognito etc..)
• An interest in Functional Programming
• Knowledge of Kubernetes, Terraform
• Prior experience with data engineering principles-specifically involving Airflow, Kafka, or Snowflake-is a plus

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, Erlang, Go, 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.