Senior Backend Engineer (Golang)

Job description

Our client is seeking a seasoned Backend Engineer to help build high-performance, cloud-native infrastructure to support our research, trading, and data pipelines. This role is crucial to enabling real-time data ingestion and processing workflows, and ensuring our systems can meet the demands of a high-uptime, low-latency trading environment. ### What You Will Do - Lead the design and development of robust high-performance, cloud-native backend systems using **Go** that support real-time data processing and low-latency workflows. - Drive engineering excellence through code quality, best practices, and mentorship of other team members. - Work closely with trading, product, and infrastructure teams to understand system requirements and deliver performant solutions. - Take ownership of production services, ensuring reliability, observability, and performance tuning. Optimize systems performance and ensure system stability, reliability, and security. - Contribute to infrastructure automation and CI/CD improvements to support rapid deployment and operational agility. - Conduct in-depth code reviews, lead technical discussions, and influence engineering culture and standards. - Implement automated testing, CI/CD pipelines, and participate in code reviews and design discussions. - Deploy and manage services leveraging cloud-native tools and best practices - Monitor, debug, and troubleshoot production systems and be a part of the on-call incident response team in a high-uptime environment ### What You Will Need - 5+ years of backend development experience, including 3+ years with **Go** in production-grade systems. - Experience leading large-scale system design and mentoring engineers on engineering best practices. - Strong knowledge of concurrency, memory management, and performance optimization in Go. - Proven track record of designing and deploying **microservice architectures** in high-availability, high-throughput environments. - Solid understanding of **message queues**, **event-driven architectures**, and **asynchronous processing**. - Strong understanding of **microservice architecture** and **REST/gRPC APIs**. - Strong understanding of networking data transmission protocols (TCP, UDP, WSS, etc.) - Experience building and deploying cloud-native applications - Familiarity with containerization technologies (Docker) and orchestration engines (e.g., ECS, Kubernetes). - Proficiency with message brokers (e.g., Kafka) and distributed systems. - Knowledge of data storage technologies such as **PostgreSQL**, **Redis**, and **time-series databases**.