Senior Backend Engineer (Golang)

TL;DR

Senior Backend Engineer (Golang): Building high-performance, cloud-native backend systems using Go to support real-time data processing and low-latency workflows with an accent on system reliability, observability, and performance tuning. Focus on designing microservice architectures, optimizing systems performance, and contributing to infrastructure automation and CI/CD improvements.

Location: On-site in Singapore

Company

Our client is seeking a seasoned Backend Engineer to help build high-performance, cloud-native infrastructure to support our research, trading, and data pipelines.

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.
• 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.

Requirements

• 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.
• Familiarity with containerization technologies (Docker) and orchestration engines (e.g., ECS, Kubernetes).
• Knowledge of data storage technologies such as PostgreSQL, Redis, and time-series databases.

Culture & Benefits

• Be a part of the on-call incident response team in a high-uptime environment