Staff Engineer — Event-Driven Architecture

About Us

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Hiring Dreams LLC, is seeking the following.

Job Description

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: to 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. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential.

If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you.

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.

• 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.

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

Interview Process

1. 15-minute video call with someone from our team
2. 3 Proctored GQ Tests (under 2 hours)
3. 30–45 minute final video interview

Job offer