Senior Full-Stack Real-Time Systems Engineer (Fintech, AI)

TL;DR

Senior Full-Stack Real-Time Systems Engineer (Fintech, AI): Designing and delivering mission-critical, multi-service systems for real-time data analysis and decision-making with an accent on sub-millisecond ordering guarantees and scalable data processing. Focus on architecting backpressure-aware pipelines, implementing AI and anomaly detection services, and ensuring seamless failover strategies across complex data streams.

Location: Remote (Worldwide)

Company

hirify.global is a fintech company developing sophisticated infrastructure for real-time data analysis and decision-making.

What you will do

• Design and maintain multi-region microservices for market data streams with sub-millisecond ordering guarantees.
• Build hybrid persistence layers leveraging PostgreSQL, TimescaleDB, Redis, and ClickHouse for real-time applications.
• Architect backpressure-aware pipelines across Kafka, NATS, and Pulsar 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.
• Collaborate in a Scrum sprint process, participating in planning, estimation, stand-ups, and retrospectives.

Requirements

• 5+ years of engineering experience across Go, Rust, Node.js, TypeScript, Kotlin, and C++ with production code.
• 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.
• Experience running stateful microservices with rolling upgrades and zero downtime.
• Working knowledge of Scrum/Agile, delivering increments under tight deadlines and stress.

Nice to have

• Built or operated Kafka clusters moving > 10M events/sec.
• Familiar with CRDTs vs Lamport clocks for ordering ticks across unreliable streams.
• Implemented 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.

Culture & Benefits

• Strong emphasis on collaboration, process, and accountability over lone-wolf coding.

Hiring process

• Recruiter Interview focusing on culture fit and career alignment.
• Interview(s) with future manager to assess hard and soft skills for the role.
• Final Interview(s) with Leadership to evaluate strategic thinking and broader team fit.