What You Will Do: Key Technical Partner: Work in close partnership with the Principal and Software Architect to translate high-level architectural vision into production reality. Architect Distributed Systems: Lead the design, planning, and implementation of highly complex, high-throughput distributed systems from the ground up, ensuring seamless data ingestion and inference across Edge, On-Prem, and Cloud layers. Lead by Example in Code: Write extremely sharp, scalable, and maintainable code. You will set the engineering standards for the rest of the team using Node.js, Express, and NestJS. End-to-End Ownership: Take full ownership of the software lifecycle—from architectural design and backend coding to automated deployment and production monitoring. Ensure the high availability and observability of our multi-tenant SaaS environment. Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry. Requirements: Background: B.Sc. in Computer Science (from a leading university) OR Alumnus of an elite military technology unit. Experience Level: 7+ years of overall software engineering experience, with at least 5+ years of hardcore backend development focusing on distributed systems. Expert Coder: You are still deeply hands-on and "hot on code". Core Backend Stack: Expert-level knowledge of JavaScript (JS) and TypeScript (TS). Deep, authoritative expertise in Node.js, Express, and NestJS, alongside a profound understanding of the JS Event Loop and asynchronous programming. Distributed Systems: Proven, battle-tested experience planning, designing, and implementing complex, high-throughput distributed systems from scratch. Cloud Native: 5+ years across on of AWS, Azure, or GCP with a focus on managed services (Serverless, EKS/AKS/GKE, auto-scaling). Architecture: Proven experience with Event-Driven Design (one of Kafka, RabbitMQ, Redis Stream) and Microservices. State Management: High-speed in-memory state (Redis) and relational data stores (PostgreSQL). SaaS & Security: Expertise in secure, multi-tenant SaaS, ideally with knowledge of Zero Trust Architecture (ZTA) and mTLS. Containers: Hands-on experience with Docker and basic Kubernetes. Frontend Willingness: Practical experience with React and a strong willingness to touch client-side code when necessary to deliver end-to-end features. Big Advantages: Infrastructure as Code: Deep expertise treating infrastructure as software using Server-less Framework, Terraform, AWS CDK. AI Tooling: Experience enriching and optimizing development using dev-assisting GenAI tools (such as Cursor, CoPilot, or ClaudeCode). Data Scale: Experience with time-series telemetry pipelines and long-term storage tiering. Observability: Experience implementing observability stacks (Prometheus, Grafana, ELK, Datadog). Additional Tech: Python 3.6+ experience and multi-process/threaded application knowledge.