Senior Backend Engineer (Golang)
Our client is looking for an experienced Backend Engineer to play a key role in developing high-performance, cloud-native infrastructure to support research, trading, and data pipelines. The focus is on enabling real-time data ingestion and processing workflows within a high-uptime, low-latency trading environment.
Responsibilities
Lead the creation of strong high-performance back-end systems utilizing Go for real-time data processing and low-latency workflows. Promote engineering excellence by upholding code quality, best practices, and mentoring team members. Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and provide efficient solutions. Take responsibility for production services, ensuring reliability, observability, and enhancing performance. Optimize system performance and ensure system stability, reliability, and security. Contribute to infrastructure automation and enhancements in CI/CD for swift deployment and operational flexibility. Conduct thorough code reviews, guide technical discussions, and influence engineering culture and standards. Implement automated testing, CI/CD pipelines, and contribute to code reviews and design dialogues. Deploy and manage services employing cloud-native tools and practices. Monitor, debug, and resolve issues in production systems, and be part of the on-call incident response team for a high-uptime setting.
Requirements
Minimum of 5 years of backend development expertise, including at least 3 years working with Go in production systems. Experience in leading large-scale system design and coaching engineers on engineering best practices. Solid understanding of concurrency, memory management, and optimizing performance in Go. Demonstrated experience in designing and deploying microservice architectures in high-throughput, highly available environments. Comprehensive knowledge of message queues, event-driven architectures, and asynchronous processing. Strong grasp of microservice architecture and REST/gRPC APIs. In-depth understanding of networking data transmission protocols such as TCP, UDP, WSS, etc. Experience developing and deploying cloud-native applications. Familiarity with containerization technologies like Docker and orchestration engines such as ECS and Kubernetes. Proficiency in working with message brokers like Kafka and distributed systems. Knowledge of data storage technologies like PostgreSQL, Redis, and time-series databases.

