Who we are looking for
A Full Stack Engineer, who will be responsible for developing, maintaining and evolving our US Sports platform.
We are building a team and trading platform to help us become a leader in the US sports gambling industry, replicating our strong foundation in Europe.
As part of our team, you will play a pivotal role in driving our growth and success. Our N-Tier distributed systems process large volumes of data, especially during high-profile sporting events, where resilience and stability are crucial to delivering an exceptional customer experience.
You will be expected to develop technical expertise in one or more areas of the stack. You will work with our product partners and technical stakeholders across teams to ensure successful delivery of the US Sports platform.
This role is eligible for inclusion in the Company's hybrid working from home policy.
The salary range for this position is $85,000-$135,000 annually.
bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Preferred skills and experience
Previously worked on high throughput and low latency systems.
Ability to manage your time to deliver efficiently.
Ability to prioritize people and conversations over process.
Previously thrived in a fast-paced agile environment.
Aptitude and enjoyment in learning new technologies.
Commercial experience using GCP with Kubernetes.
Knowledge of React and Typescript.
Experience with Golang Microservices.
Exposure to C#, .net, MSSQL and/or WPF.
Experience in a delivery focused culture.
Main Responsibilities
Building systems that guarantee quality and reliability.
Using pipelines and infrastructure as a service.
Utilizing scalable solutions to meet global demand.
Debugging and reverse engineering systems utilizing concurrency.
Adopting innovative technologies such as our various in-house AI offerings.
Collaborating proactively with stakeholders and the team.
Working on and solving complex problems.
