Senior Backend Engineer (Golang)

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 .