Build and optimize high-performance, cloud-native infrastructure for real-time data processing and trading systems in a low-latency environment.
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.
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