Backend Software Engineer (Data & Platform) - KinaTrax

Hawk-Eye Innovations (HEI)

4d•Remote

About The Position

As a Backend Software Engineer at KinaTrax, you will design and build the core systems that power our data platform, from ingestion and processing of large-scale biomechanical datasets to delivering performant APIs and real-time data experiences. This role is focused on backend architecture and distributed systems, with opportunities to contribute across the stack where needed. You will work closely with product, data science, and infrastructure teams to ensure reliable, scalable, and high-performance systems.

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 Haves

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.)

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