Staff Software Engineer - Fanatics Markets

fanaticsfbg; EE. UU.; A distancia; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Distributed systems

Java/Kotlin

API design

Production ownership

Herramientas

Spring Boot

Kafka

Protobuf

REST/gRPC

Pub/Sub / Redpanda

Descripción del empleo

Role overview

A Staff Software Engineer position on a Distributed Systems team powering a real-money prediction and trading platform. The work centers on the event-driven infrastructure behind live trading, where pricing decisions directly influence daily P&L. It is a hands-on, high-ownership role expected to translate deep trading-domain understanding into technical specs and durable systems.

Responsibilities

• Design and scale distributed systems in Kotlin, Java, and Spring Boot to absorb the concurrency spikes typical of 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

Requirements

• 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 (or Redpanda/Pub Sub) experience covering internals, partition strategies, consumer group rebalancing, and delivery guarantees
• Strong background in event-driven architecture and asynchronous messaging under real production load
• Demonstrated end-to-end ownership of systems from design through operation and continuous improvement
• Clear, direct communicator comfortable writing design docs, explaining production failures to traders, and debating trade-offs with senior engineers

Nice to have

• Experience with real-time delivery systems such as WebSocket fan-out, server-sent events, or pub/sub at scale
• Familiarity with financial platforms, real-time trading systems, or prediction markets
• Background in a high-growth startup environment with broad technical ownership
• Familiarity with FIX protocol or exchange connectivity patterns