Company Description 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 consumer/enterprise clients.
We're looking for a senior software engineer to build and own the production systems and shared frameworks behind our modeling platform. You'll work primarily in Python and Rust to keep our real-time products fast, reliable, and scalable.
This is a remote position.This is a software engineering role, not a data science role - you'll partner closely with data scientists and own the systems their models run on. We're looking for engineering depth, not modeling.
Duties- Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products
- Own the deployment and operation of your own services on Kubernetes within a larger platform - this is service ownership within a shared ecosystem, not cluster administration or a DevOps function
- Proactively improve and extend our Rust codebase
- Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase
- Set up and maintain alerting, monitoring, and observability for the services you own
- Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams
- Apply large-scale data processing techniques to build scalable, innovative sports betting products
- Examine and improve the integration and scaling of our real-time operations, simulations, and experiments
- Develop solutions for open-ended problems where information is incomplete and no precedent exists
Requirements- Bachelor's degree in Computer Science or a related technical field
- 5-7 years building and shipping production software
- Advanced Python experience (Rust experience strongly preferred)
- Comfortable owning your own services in a Kubernetes environment
- Experience setting up alerting and monitoring systems
- Experience with Kafka (or a comparable streaming / event platform)
- Proficiency with SQL
- Experience with source control (GitHub) and related CI/CD processes
- Experience working in AWS environments
- Track record of technical leadership and partnering across teams on complex, ambiguous problems
- Strong communication skills with both technical and non-technical audiences
Base salary: Starting at $170,000 - DOE
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.
Department Engineering & Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote
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