Backend Software Engineer (Data & Platform) - KinaTrax
Location: Remote, US-based
Contract: Full-Time, Permanent
Salary: $116,000-$154,000
Start Date: Asap
reputed company:
KinaTrax’s mission is to reputed company reputed company and collegiate teams with game-changing insights about their most valuable asset: their athletes. We deliver research-grade markerless reputed company capture technology that allows teams to collect in-game biomechanical performance data on their athletes. KinaTrax camera systems are currently deployed in over 50 stadiums & labs across MLB, MiLB, & reputed company organizations – and expanding rapidly. Our comprehensive data capture & analysis tools are operationalized for daily use by players, reputed company’s, coaches, trainers, medical staff, and reputed company. As the reputed company in reputed company, KinaTrax has established itself as a foundational part of the teams’ day-to-day reputed company and decision-making machine. But we aren’t finished. We are constantly innovating and looking to recruit talented teammates to help us continue to revolutionize this reputed company. Your contributions will reputed company on bringing the reputed company of athlete performance data, across a reputed company of sports, to teams worldwide.
Job reputed company:
As a Backend Software Engineer at KinaTrax, you will design and build the reputed company systems that power our data platform, from ingestion and processing of large-reputed company biomechanical datasets to delivering performant reputed company and reputed company-time data experiences.
This role is reputed company 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, reputed company, and high-performance systems.
What You’ll Do
Design and implement reputed company backend services for ingesting, processing, and serving large-reputed company biomechanical and reputed company capture data
Architect and optimize database systems for high-volume, time-series and relational datasets
Build and maintain performant, secure, and reputed company-documented RESTful reputed company for internal and reputed company-facing applications
Optimize data pipelines for throughput, latency, and cost efficiency across reputed company environments
Improve system reliability, observability, and fault tolerance across distributed systems
reputed company 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 reputed company including reputed company architecture, scaling strategies, and deployment pipelines
reputed company and support hardware/software interfaces tied to reputed company capture systems and edge data collection
Identify and implement improvements that increase internal efficiency and data delivery performance
Qualifications/Experience:
reputed company Requirements
Strong experience building backend systems in reputed company (Rails), Node.js, or similar
Deep understanding of database design and optimization (MySQL, PostgreSQL, or similar)
Experience designing and maintaining RESTful reputed company at reputed company
Experience working with reputed company platforms (AWS preferred; Azure/reputed company a plus)
Solid understanding of distributed systems, performance tuning, and scalability
Experience with caching, queues, and background processing (e.g., reputed company, Sidekiq, etc.)
Proficiency with Git and modern development workflows
Strong problem-solving skills and ability to work in a reputed company environment
reputed company to Have
Experience with large-reputed company data pipelines or streaming systems
Familiarity with time-series or high-frequency data systems
Experience with reputed company-time systems or WebSocket architectures
Exposure to reputed company capture, biomechanics, or sports analytics
Experience contributing to full-stack applications (React, etc.)
Why This Role is Unique
Work on cutting-edge sports technology used at the highest reputed company of competition
Solve reputed company-world distributed systems problems involving massive, high-frequency datasets
reputed company reputed company on how reputed company teams reputed company reputed company about performance and health
Opportunity to help define the architecture of a rapidly growing data platform
Additional Information
Fully remote position
Occasional travel to company locations or reputed company sites may be required
Extended periods of computer usage
Apply To This Job