Backend Software Engineer (Ruby/Node.js)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Software Engineer (Ruby/Node.js): Designing and building core systems for a biomechanical data platform with an accent on large-scale data ingestion, processing, and API performance. Focus on architecting distributed systems and optimizing database performance for high-frequency time-series datasets.
Location: Remote (Must be US-based)
Salary: $116,000–$154,000
Company
KinaTrax provides professional sports teams with markerless motion capture technology for biomechanical performance analysis.
What you will do
- Design and implement scalable backend services for ingesting and processing large-scale motion capture data.
- Architect and optimize database systems for high-volume relational and time-series datasets.
- Build and maintain secure, performant RESTful APIs for internal and client applications.
- Optimize data pipelines for throughput and cost efficiency within cloud environments.
- Improve system reliability, observability, and fault tolerance across distributed architectures.
- Collaborate with product and data science teams to support advanced data visualization and reporting tools.
Requirements
- Strong experience with Ruby (Rails), Node.js, or similar backend technologies.
- Deep understanding of database design and optimization (MySQL, PostgreSQL).
- Experience designing and scaling RESTful APIs.
- Proficiency with cloud platforms, specifically AWS.
- Knowledge of distributed systems, caching, and background processing (Redis, Sidekiq).
- Must be based in the United States.
Nice to have
- Experience with large-scale data pipelines or streaming systems.
- Familiarity with time-series or high-frequency data.
- Knowledge of WebSockets or real-time system architectures.
- Background in sports analytics or biomechanics.
- Full-stack experience with React.
Culture & Benefits
- Work on cutting-edge sports technology used by MLB and NCAA.
- Solve complex distributed systems problems with massive datasets.
- Direct impact on professional athlete performance and health decisions.
- Fully remote work environment.
- Opportunity to define the architecture of a rapidly growing platform.
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