Backend Software Engineer – Data & Platform
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Job Description
Backend Software Engineer designing systems for the data platform at KinaTrax. Focused on backend architecture and distributed systems for athlete performance data collection.
Responsibilities:
- Design and implement scalable backend services for ingesting, processing, and serving large-scale biomechanical and motion capture data
- Architect and optimize database systems for high-volume, time-series and relational datasets
- Build and maintain performant, secure, and well-documented RESTful APIs for internal and client-facing applications
- Optimize data pipelines for throughput, latency, and cost efficiency across cloud environments
- Improve system reliability, observability, and fault tolerance across distributed systems
- Develop and refine data storage, indexing, and retention strategies for large datasets
- Collaborate with frontend and product teams to support data visualization and reporting tools
- Contribute to infrastructure decisions including cloud architecture, scaling strategies, and deployment pipelines
- Integrate and support hardware/software interfaces tied to motion capture systems and edge data collection
- Identify and implement improvements that increase internal efficiency and data delivery performance
Requirements:
- Strong experience building backend systems in Ruby (Rails), Node.js, or similar
- Deep understanding of database design and optimization (MySQL, PostgreSQL, or similar)
- Experience designing and maintaining RESTful APIs at scale
- Experience working with cloud platforms (AWS preferred; Azure/Cloudflare a plus)
- Solid understanding of distributed systems, performance tuning, and scalability
- Experience with caching, queues, and background processing (e.g., Redis, Sidekiq, etc.)
- Proficiency with Git and modern development workflows
- Strong problem-solving skills and ability to work in a collaborative environment
- Nice to Have: Experience with large-scale data pipelines or streaming systems
- Familiarity with time-series or high-frequency data systems
- Experience with real-time systems or WebSocket architectures
- Exposure to motion capture, biomechanics, or sports analytics
- Experience contributing to full-stack applications (React, etc.)
Benefits:
- Fully remote position
- Occasional travel to company locations or client sites may be required
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