Software Engineer

Swish Analytics
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Job 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 enterprise clients.

About the team

The Software Engineering team is looking for qualified engineers to work on 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.

Responsibilities

  • Design, build, and optimize low latency, highly available core API services
  • Build backend applications while working cross-functionally with teams across the organization
  • Assist in developing a platform and SDK for internal teams to build their services
  • Work with the Swish infrastructure team to optimize the existing API service architecture and strategy
  • Participate in code reviews and knowledge sharing with teams and team members
  • Influence the technical direction of distributed services at Swish

Qualifications

  • Bachelor Degree in CS/CE/SE or relevant experience 
  • 3+ years of production level API / Microservice development
  • A creative mind for solving technically difficult problems in both standard and non-standard ways
  • 1+ years of production experience with languages like NodeJS & Python
  • 1+ years of production experience with databases both relational and non-relational
  • Passionate about reliability, high availability, automation, observability, coding standards and global scale

Preferred

  • Production experience with Software Engineering at a global level
  • Interest or experience in Rust or GO
  • Production experience with stream-processing paradigms like Kafka
  • Production experience with Docker and Kubernetes
  • Familiarity with sports data

Base salary: $100,000 -140,000

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.

Company Info.

Swish Analytics

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.

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Swish Analytics is currently hiring Software Engineer Jobs in San Francisco, CA, USA with average base salary of $100,000 - $140,000 / Year.

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