Staff Software Engineer, Real-Time Trading Systems

fanaticsfbg; Stati Uniti; Remoto; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Fanaticsfbg is seeking a Staff Software Engineer on a Distributed Systems team powering a real-money prediction and trading platform. The role centers on event-driven infrastructure behind live trading where pricing decisions influence daily P&L.

It is a hands-on, high-ownership position expected to translate deep trading-domain understanding into durable systems. You will design and scale distributed systems in Kotlin/Java with Spring Boot, build high-throughput Kafka pipelines, and implement

Competenze

• 7+ years building scalable, fault-tolerant distributed systems in production.
• Expert proficiency in Java or Kotlin with Spring Boot and modern API design across REST, gRPC, and Protobuf.
• Deep hands-on Kafka experience covering internals, partition strategies, consumer groups, and delivery guarantees.

Mansioni

• Design and scale distributed systems in Kotlin, Java, and Spring Boot to absorb concurrency spikes in a live trading platform.
• Build and optimize high-throughput event pipelines on Kafka, owning partition strategy, consumer group design, and delivery guarantees.
• Engineer low-latency event-stream processing that preserves data integrity and cache coherence under peak load.
• Partner with product and engineering leaders to align cross-domain technical decisions while protecting architectural integrity.
• Diagnose and durably resolve production issues in a live trading environment, distinguishing pricing latency, strategy misfires, and adverse selection patterns.
• Raise engineering standards through design docs, code and architecture reviews, and reusable patterns.

Conoscenze

Distributed systems

Java/Kotlin

API design

Production ownership

Strumenti

Spring Boot

Kafka

Protobuf

REST/gRPC

Pub/Sub / Redpanda

Descrizione del lavoro

Fanaticsfbg is seeking a Staff Software Engineer on a Distributed Systems team powering a real-money prediction and trading platform. The role centers on event-driven infrastructure behind live trading where pricing decisions influence daily P&L.

It is a hands-on, high-ownership position expected to translate deep trading-domain understanding into durable systems. You will design and scale distributed systems in Kotlin/Java with Spring Boot, build high-throughput Kafka pipelines, and implement