Staff Software Engineer, Finance Engineering
FlexSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Betting, Fantasy Sports, Data & Analytics, Software DevelopmentIndustries
Requirements
Candidates must possess 8+ years of production software engineering and technical leadership experience, a Bachelor's degree in Computer Science or a related field, and hands-on experience with NodeJS and Python, as well as both relational and non-relational databases. They should demonstrate a passion for reliability, high availability, automation, observability, coding standards, and global scale, along with strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
Responsibilities
The Staff Software Engineer will serve as a technical lead and owner for key products within the core backend applications, performing code reviews, identifying optimizations, designing and enhancing services, working with globally distributed data, participating in architectural discussions, and having a deep understanding of high-traffic APIs and networking topology. They will also contribute to the development and maintenance of critical business applications, while adhering to established coding standards and best practices.
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees