Swish Analytics

Staff Software Engineer

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Betting, Fantasy Sports, Data & Analytics, Software DevelopmentIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: Starting at $140,000

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 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.

Responsibilities

  • 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.

Qualifications

  • 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.

Preferred Qualifications

  • 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

Company Information

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, or any other protected characteristic.

Skills

Microservices
APIs
Kafka
Kubernetes
SDKs
CLIs
Database optimization
Cloud cost optimization
Architectural design
High-traffic API management
Networking topology
Code review
Performance optimization
Distributed data handling

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.
Consumer privacy concerns may impact Swish Analytics' data collection practices.
Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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