Technical Lead / Systems Architect
Weekly Rate: $11,000/week
Overview
The Technical Lead is responsible for the overall system architecture and technical vision of the HYROX squat tracking system. This role provides architectural governance, technical leadership, and ensures all components integrate seamlessly to meet performance and reliability requirements.
Key Responsibilities
System Architecture and Technical Vision - Define and maintain the technical roadmap for the entire HYROX squat tracking system. Establish the overall system architecture that ensures all components work together seamlessly while meeting performance, reliability, and scalability requirements.
Technology Selection and Integration Strategy - Evaluate and select appropriate technology stacks for each component of the system. Design cross-component integration strategies that ensure smooth interaction between computer vision, edge computing, backend services, and frontend applications.
Performance and Scalability Planning - Optimize system performance to meet the sub-200ms latency requirement while planning for future growth. Design architectures that can scale to support 80+ simultaneous tracking stations across multiple venues globally.
Technical Risk Management - Identify and assess technical risks proactively, developing mitigation strategies before issues arise. Create disaster recovery and failover architectures that ensure system resilience and business continuity during critical events.
API and Interface Design - Define clear, maintainable APIs and system interfaces that enable seamless integration with existing HYROX infrastructure. Ensure all interfaces are well-documented, versioned, and backward compatible.
Vendor and Hardware Evaluation - Assess and select optimal hardware solutions including cameras, edge computing devices, and networking equipment. Work with vendors to ensure hardware meets the specific requirements of real-time sports tracking.
Code Quality and Governance - Conduct architecture reviews and code reviews to maintain high standards across the codebase. Establish and enforce architectural patterns, coding standards, and best practices that ensure long-term maintainability.
Team Leadership and Mentorship - Guide and develop the engineering team through technical mentorship and knowledge sharing. Foster a culture of technical excellence while bridging the gap between technical and business stakeholders.
Security and Compliance Architecture - Design security architectures and conduct threat modeling to protect system and athlete data integrity. Ensure the system architecture supports compliance with international data protection regulations.
Documentation and Specifications - Create comprehensive technical documentation including architecture decision records, design specifications, and integration guides. Maintain up-to-date system documentation that enables effective knowledge transfer and onboarding.
Required Skills
Software Architecture Experience. A minimum of 10 years of hands-on software architecture experience is essential for this role. The ideal candidate has designed and implemented large-scale systems and understands the trade-offs between different architectural patterns. This extensive experience ensures the ability to make critical design decisions that impact the entire system.
Distributed Systems Expertise. Expert-level knowledge of distributed systems is crucial for architecting the HYROX tracking platform. This includes deep understanding of consistency models, fault tolerance, and scalability patterns. The candidate must have practical experience building and operating distributed systems in production environments.
Real-Time Processing Systems. Extensive experience with real-time processing systems is required to meet the stringent sub-200ms latency requirements. The candidate must understand the complexities of low-latency architectures, including event-driven systems and stream processing. Knowledge of real-time constraints and optimization techniques is essential for ensuring consistent performance.
Computer Vision Pipeline Understanding. Strong understanding of computer vision pipelines and their integration challenges is necessary to architect the complete system effectively. The candidate should comprehend the flow from image capture through processing to final output. This knowledge enables informed decisions about data formats, processing stages, and optimization opportunities.
Cloud and Edge Computing Architecture. Expertise in both cloud and edge computing architectures is critical for designing the hybrid system deployment. The candidate must understand the trade-offs between centralized and distributed processing approaches. Experience with edge device limitations and cloud scalability patterns is essential for optimal architecture design.
Communication and Leadership Skills. Excellent communication and leadership skills are vital for this senior role that involves guiding technical teams and interfacing with stakeholders. The candidate must effectively translate technical concepts for business audiences while providing clear direction to engineering teams. Strong mentorship abilities are crucial for developing team capabilities and ensuring knowledge transfer.
Phase Allocation
The Technical Lead maintains full-time involvement during the critical Alpha and Beta phases, ensuring robust architecture establishment and seamless integration of all system components. As the system matures through Gamma and Delta phases, the allocation reduces progressively while maintaining architectural oversight and technical governance. During Full Release, the role transitions to advisory capacity, providing strategic guidance and handling escalated technical decisions.
| Phase | Weekly Rate | Allocation | Duration |
|---|---|---|---|
| Alpha | $11,000/week | 100% | 10 weeks |
| Beta | $11,000/week | 100% | 12 weeks |
| Gamma | $8,250/week | 75% | 8 weeks |
| Delta | $5,500/week | 50% | 10 weeks |
| Full Release | $2,750/week | 25% | 12 weeks |
Deliverables
System Architecture Documentation. Comprehensive documentation detailing the complete system architecture, including component interactions, data flows, and integration points. This documentation serves as the technical blueprint for the entire HYROX squat tracking system, ensuring all teams have a clear understanding of the system design and enabling effective knowledge transfer.
Technology Selection Reports. Detailed evaluation reports for each technology stack decision, including comparative analyses, proof-of-concept results, and rationale for selections. These reports document the decision-making process for critical technology choices, ensuring transparency and providing justification for architectural decisions that impact the entire system.
Integration Specifications. Complete specifications for all system interfaces and integration points, including API documentation, data formats, and communication protocols. These specifications ensure seamless interaction between system components and provide clear guidelines for developers implementing integrations with existing HYROX infrastructure.
Performance Benchmarks. Comprehensive performance testing results and optimization reports demonstrating system compliance with latency and throughput requirements. These benchmarks validate that the architecture meets the critical sub-200ms processing requirement and document performance characteristics under various load conditions.
Security Assessment Reports. Detailed security architecture documentation including threat models, vulnerability assessments, and mitigation strategies. These reports ensure the system maintains robust security posture and complies with data protection requirements while documenting security decisions and trade-offs.
Technical Risk Register. Comprehensive documentation of identified technical risks, their potential impacts, and mitigation strategies. This living document tracks technical challenges throughout the project lifecycle and ensures proactive risk management with clear escalation paths and contingency plans.
Architecture Decision Records. Formal documentation of significant architectural decisions, including context, alternatives considered, and rationale for chosen approaches. These records preserve institutional knowledge about why specific architectural patterns were selected and provide valuable context for future system evolution.
Design Review Feedback. Structured feedback from architecture and code reviews, including recommendations for improvements and compliance with established patterns. This deliverable ensures continuous quality improvement and knowledge sharing across the development team while maintaining architectural consistency.
Success Criteria
Latency Performance Achievement. The system consistently meets the critical sub-200ms end-to-end latency requirement from image capture to result display across all deployment scenarios. This includes maintaining performance under peak load conditions with 80+ simultaneous tracking stations operating during major competition events.
Seamless Component Integration. All system components integrate successfully without data loss or degradation, demonstrating smooth communication between computer vision, edge computing, backend services, and frontend applications. Integration testing validates error handling, failover mechanisms, and recovery procedures across all interfaces.
Scalability Validation. The architecture successfully supports 80+ simultaneous tracking stations across multiple venues with no performance degradation. Load testing confirms the system can handle projected growth scenarios while maintaining consistent performance and reliability standards required for international competition deployment.
Reliability Target Achievement. The system achieves and maintains 99.9% uptime across all critical components, with comprehensive monitoring and alerting in place. This includes successful demonstration of disaster recovery procedures and failover mechanisms that ensure continuous operation during component failures.
Security Compliance Verification. All security requirements are met, including data protection compliance, secure communication protocols, and access control implementations. Security audits confirm the absence of critical vulnerabilities and validate that athlete data remains protected throughout the system lifecycle.
Team Development Success. Measurable improvement in team productivity and capability through effective technical mentorship and knowledge transfer. This includes successful onboarding of new team members, increased code quality metrics, and demonstrated ability of team members to make independent architectural decisions aligned with system vision.