Job Description
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.
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