Staff Engineer

About Intellibus

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission‑critical infrastructure.

We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production‑critical, and the people you work with will hold you to a high standard.

Role: Staff Engineer

We are hiring a Staff Engineer to design, build, and own full‑stack systems powering financial platforms — from frontend architecture to backend services to distributed event‑driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end‑to‑end: understand the business problem, design the system, make the trade‑offs, and deliver production‑grade software that performs reliably under heavy load.

You will work directly with senior stakeholders across technical and non‑technical functions, often navigating competing priorities, ambiguity, and high‑pressure timelines. Clear communication, managing complexity across people and systems, and maintaining a high quality bar when things get difficult are essential.

What You Will Do

Frontend Architecture

• 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.

Backend Engineering

• 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.

Event‑Driven & Distributed Systems

• 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.

Cloud & Infrastructure

• 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.

What Sets You Apart

We are looking for engineers who demonstrate several of the following:

• Designed and operated event‑driven distributed systems that process high‑volume real‑time data.
• Deep understanding of algorithms, data structures, and time complexity — applied to building systems, not just passing interviews.
• Built full‑stack platforms using React/Next.js and Node.js/NestJS that run reliably in production.
• Hands‑on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar.
• Ability to reason clearly about system trade‑offs: latency vs. throughput, consistency vs. availability, speed vs. reliability.
• Operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure.
• Designed systems end‑to‑end and taken ownership of architecture and production outcomes — not just the code you wrote.
• Mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision‑making.
• Communicated well under pressure; able to hold your ground with stakeholders, explain technical decisions to non‑technical audiences, and navigate ambiguous situations.

Technology Ecosystem

• Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3.
• Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM.
• Event‑Driven: Kafka, Azure Service Bus, Azure Event Grid.
• Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure‑as‑Code, Linux.
• Data: SQL, NoSQL, Azure Data Fabric.

Our Process

• 15‑minute video call with someone from our team.
• 4 proctored GQ tests (under 2 hours).
• 30–45 minute final video interview.
• Job offer.