Staff Software Engineer-Platform Engineering

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. They are seeking a Staff Engineer to design, build, and own full-stack systems powering financial platforms, requiring a comprehensive understanding of both frontend and backend engineering as well as distributed systems.

Responsibilities:

• Build scalable frontend platforms using React, Next.js, and TypeScript
• Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns
• Develop reusable component systems and scalable frontend frameworks
• Build backend services using Node.js and NestJS
• Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems
• Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability
• Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems
• Build services that process high-volume financial events and real-time trading data
• Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments
• Design infrastructure that supports resilient, scalable distributed systems

Requirements:

• Build scalable frontend platforms using React, Next.js, and TypeScript
• Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns
• Develop reusable component systems and scalable frontend frameworks
• Build backend services using Node.js and NestJS
• Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems
• Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability
• Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems
• Build services that process high-volume financial events and real-time trading data
• Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments
• Design infrastructure that supports resilient, scalable distributed systems
• You have designed and operated event-driven distributed systems that process high-volume real-time data
• You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews
• You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production
• You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar
• You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability
• You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure
• You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote
• You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making
• You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious