Senior Software Engineer - Sports Betting Startup
Kero Sports
Who we are: We’re on a mission of “Helping sports fans enjoy watching their favourite sports”.
Kero focuses on building proprietary algorithms that ingest real time play by play sports data and output curated in-game micro betting markets every 30 seconds that deliver an instant gratification betting experience.
Our thesis is that sportsbetting products of the future will need to incorporate the same ingredients that make today's mass consumer technology popular. They are: instant gratification, social, and most importantly "mindless consumption".
Our clients include global sportsbook operators and some of the biggest profesional sports teams in the world.
Simply put, Kero Sports is the ideal place to work if you are a talented professional who loves sports and is hungry for growth.
The Role:
The Software Engineering team is looking for qualified senior software engineers to lead the development of a variety of business essential products. A few examples are microservices and apis, data stream processing via Kafka, Kubernetes development and optimization, devtools development, Database optimization and scaling, observability stack development, and more.
Responsibilities
Be the technical lead for key features of core backend applications
Work with globally distributed data
Create and review Architectural diagrams and perform code reviews
Develop new and improve existing services
Qualifications
4+ years of production software engineering experience
A creative mind for solving technically difficult problems in both standard and non-standard ways
Hands on production experience with Python and/or GO
Hands on production experience with databases both relational and non-relational
Passionate about reliability, high availability, automation, observability, coding standards and global scale
You have a BS or higher in CS/CE/SE or relevant experience
Preferred
Production experience with Software Engineering at a global level
Production experience with stream-processing paradigms like Kafka
Production experience with Docker and Kubernetes
Familiarity with sports data & APIs