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Staff Engineer

Intellibus

Newark · On-site Full-time Lead Yesterday

About the role

About

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 – design, build, and own full‑stack systems powering financial platforms — from frontend architecture to backend services to distributed event‑driven infrastructure. This role requires thinking end‑to‑end: understanding the business problem, designing the system, making trade‑offs, and delivering 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.

Responsibilities

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.

Requirements

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, holding ground in stakeholder meetings, explaining technical decisions to non‑technical audiences, and navigating 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.

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.

Requirements

  • 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.

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.

Skills

Azure App ServicesAzure Data FabricAzure Event GridAzure Service BusBullMQCI/CDCSS3DockerHTML5Infrastructure-as-CodeJavaScriptKafkaLinuxMicroservicesNestJSNext.jsNode.jsNoSQLPostgreSQLReactREST APIsSQLTailwindCSSTypeScript

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