Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Software Engineering team is looking for qualified staff software engineers to lead and own 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 like SDKs and CLIs, Database optimization and scaling, observability stack development, cloud cost optimization, and more.
- Be the technical lead and owner for key products of our core backend applications.
- Perform code reviews and provide constructive feedback.
- Find optimizations in current applications, implement best practices, and ensure adherence to coding standards.
- Design and enhance both new and existing services.
- Work with globally distributed data.
- Participate in discussions and create and review architectural diagrams.
- Have a deep understanding of high-traffic, client-facing APIs and networking topology.
- 8+ years of production software engineering and technical leadership experience.
- A creative mind for solving technically difficult problems in both standard and non-standard ways.
- Hands-on production experience with languages like NodeJS & Python.
- Hands-on production experience with databases, both relational and non-relational.
- Passionate about reliability, high availability, automation, observability, coding standards, and global scale.
- Strong communication skills working with technical and non-technical stakeholders
- You have a BS or higher in CS/CE/SE or relevant experience.
- Production experience with software engineering at a global level.
- Interest or experience with GO.
- Production experience with stream-processing paradigms like Kafka.
- Production experience with Docker and Kubernetes.
- Familiarity with sports data.
- Production experience working with low latent globally distributed data.
- Production experience developing, deploying and maintaining critical business applications
- Understanding of various observability platforms.
- Knowledge of CI/CD
$140,000 - 190,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
Top Skills
What We Do
Swish Analytics provides sports predictions and analytics by using in-depth historical data and proprietary algorithms. In the age of information overload, we do the technical heavy lifting to provide the end consumer with simplistic metrics, stats and forecasts that matter. Our platform serves fans, bettors and media partners via licensing and sub
