At Tradeify.co, we are a fintech company developing sophisticated infrastructure for real-time data analysis and decision-making. This is not a typical web app role — it’s about designing and delivering mission-critical, multi-service systems that power sophisticated, large-scale data processing.

We’re looking for a pragmatic engineer who can integrate into a team, follow sprint ceremonies, and deliver high-quality code under pressure. We value collaboration, process, and accountability over lone-wolf coding.

A competitive compensation package will be offered to the successful candidate.

What You’ll Do

Design and maintain multi-region microservices that ingest, deduplicate, and replay futures market data streams with sub-millisecond ordering guarantees.
Build a hybrid persistence layer leveraging PostgreSQL, TimescaleDB, Redis, and ClickHouse and know when to apply each in real time.
Architect backpressure-aware pipelines across Kafka, NATS, and Pulsar simultaneously, with seamless failover strategies.
Implement an AI and anomaly detection service consuming millions of events per second without packet loss.
Deliver a multi-monitor Electron desktop shell embedding a proprietary charting platform, with hot-reloading and drag-drop layout persistence.
Collaborate in a Scrum sprint process: participate in planning, estimation, stand-ups, and retrospectives.
Write integration harnesses that simulate exchange disconnects, order fills, tick sequence gaps, and user recovery scenarios.

What You’ll Bring

5+ years of engineering experience across Go, Rust, Node.js, TypeScript, Kotlin, and C++, with production code in all of them.
Deep expertise in WebSockets, gRPC, FIX, and custom binary protocols.
Prior experience in high-frequency trading.
Proven ability to ship React/Electron apps with real-time state synchronization across thousands of widgets.
Experience running stateful microservices with rolling upgrades and zero downtime.
Working knowledge of Scrum/Agile, delivering increments under tight deadlines and stress.
Ability to thrive under pressure, communicate clearly, and collaborate with teammates rather than work in isolation.

Bonus Points

Built or operated Kafka clusters moving >10M events/sec.
Familiar with CRDTs vs Lamport clocks for ordering ticks across unreliable streams.
Implemented your own message broker or time-series database “for fun.”
Strong awareness of WCAG AA accessibility in multi-pane trading dashboards.
Deployment experience across AWS, GCP, Azure, and bare-metal Kubernetes simultaneously.

Our Hiring Process

Recruiter Interview: If we like your initial application, expect to schedule an interview with a member of our recruitment team. This interview will focus on getting to know you a bit more and will explain the culture of the company. We want to know more about why you want to join our team, how you feel about our company, and how it fits into your overall career plan to make sure this is the right place for you.

Interview(s) with your future manager: This is to make sure that you are a fit for the role you are applying to and to explore your career history. In this interview, we’ll learn more about the hard and soft skills you possess to help determine if you’d be a good fit for us.

Final Interview(s) with Leadership: Depending on the role, you may be interviewed by multiple senior leaders to assess your strategic thinking and fit within the broader team.