About the role
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.