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General backend title and metro hiring increase competition, though fintech low-latency Golang skills narrow the qualified pool.
Highly domain-specific fintech trading and low-latency skills limit transferability across industries.
Requires proven Golang, low-latency trading experience, and Kafka/Kubernetes, making filters stringent.
Develop and optimize high-performance backend systems in Golang specifically for trading platforms and financial services.
Architect and maintain low-latency, high-throughput microservices and event-driven, fault-tolerant systems that handle massive real-time data streams.
Own end-to-end backend system development with no micromanagement, delivering solutions capable of executing trades in microseconds.
Proven expertise in Golang with deep knowledge of concurrency, memory management, and system design.
Experience working with trading, market data processing, or low-latency systems.
Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), real-time processing, Docker, Kubernetes, and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend engineer comfortable working in high-frequency trading or fintech environments demanding precision and millisecond-level performance.
Capable of independently owning critical backend components without supervision and thriving under high pressure.
Demonstrates technical mastery in Golang and distributed systems with a portfolio evidencing impactful, production-grade work in performance-sensitive contexts.