Senior Software Engineer (Cloud/Backend)

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.