Role Description We aren’t looking for a traditional server administrator or a standard database developer who just writes basic CRUD APIs. We need an elite Backend Systems Architect who can build world-class, hyper-scalable, and fault-tolerant infrastructure with surgical precision. Your job is to engineer our core distributed systems, optimize real-time data pipelines, and ensure absolute service reliability under immense global load. This is a remote, high-availability role for a technical powerhouse who views backend systems as a high-performance engine and is comfortable operating at the absolute frontier of the Web3 economy. We value structural integrity, clean concurrent code, and engineering momentum over corporate credentials. Whether you have designed high-throughput financial rails or led the architecture for high-velocity distributed platforms, we care about your ability to ship. If you have the analytical rigor to handle massive data concurrency, eliminate latency spikes, and protect data integrity, we will give you the runway to build our engine room. Qualifications - Proven experience shipping production-grade, highly resilient backend ecosystems. - Deep understanding of data structures, concurrency, and network protocols. - Analytical rigor using profiling tools, load-testing frameworks, and internal monitoring metrics. - Understanding of the unique technical challenges of digital asset data and transaction validation speeds. - Self-motivated and highly organized; ability to write clean, idiomatic code and bulletproof tests. Requirements - Available 7 days a week to handle real-time hotfixes, critical system deployments, and sudden market surges. - Advanced asynchronous architecture, event loop optimization, and high-performance package deployment with Node.js. - Complex schema design and efficient query/mutation orchestration with GraphQL. - Concurrent programming patterns and high-performance memory management with Golang. - Non-relational database design and aggregation pipeline optimization with MongoDB. - Real-time event streaming and message broker architecture with Kafka. - In-memory caching architecture and real-time pub/sub mechanics with Redis. - Containerized, horizontally scalable service decoupling and distributed event-driven logic in Microservices Architecture. Benefits - Extreme Technical Autonomy: Freedom to design, optimize, and break new ground within a high-speed environment. - Global Infrastructure: Code will run core systems relied upon by thousands of users every second across a worldwide landscape. - A Culture of Momentum: Join a team that moves at the speed of light; if your system architecture is ready, we push it to production. - High-Growth Upside: Clear, unrestricted runway to lead the entire engineering organization for senior engineers who take extreme ownership. Operational Details - Location: Fully Remote. - Schedule: On-call 7 days a week (Requires high flexibility to handle real-time hotfixes, system maintenance, and global release cycles). - Payment: All compensation is processed in digital assets (USDC/USDT).

• Lead the migration and re-architecture of legacy Golang services into a modern Python-based ecosystem • Actively contribute to development, writing high-quality, scalable, and performant code • Define and own the cloud architecture roadmap on Azure, ensuring scalability and reliability • Ensure systems meet healthcare data standards and compliance requirements (HIPAA/GDPR) • Provide technical leadership, mentoring the team and promoting best practices (code reviews, architecture standards)

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities • Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights • Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights • Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale • Champion engineering best practices around code quality, testing, observability, and system health • Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

• Design, develop, and test high performance systems that operate at massive scale • Gain an understanding of existing systems, determine areas of complexity, and potential risks • Perform code and design reviews • Act as a Subject Matter Expert on projects in which they have been involved • Build reliable systems with monitoring, alerting, incident response, and shared ownership of on-call responsibilities for business-critical services