Senior Backend Engineer (Golang)

Our client is in search of an experienced Backend Engineer to play a key role in developing high-performance, cloud-native infrastructure that supports research, trading, and data pipelines. This position is pivotal in facilitating real-time data ingestion and processing workflows and ensuring the systems are equipped to handle the demands of a high-uptime, low-latency trading environment.

Responsibilities:

• Lead the development of robust, high-performance backend systems in Go for real-time data processing and low-latency workflows.
• Promote engineering excellence by upholding code quality, implementing best practices, and guiding fellow team members.
• Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and deliver efficient solutions.
• Take charge of production services to guarantee reliability, observability, and performance optimization. Enhance systems performance, stability, reliability, and security.
• Contribute to infrastructure automation and improvements in CI/CD to facilitate quick deployment and operational flexibility.
• Conduct detailed code reviews, drive technical conversations, and influence engineering norms and practices.
• Implement automated testing, CI/CD pipelines, and actively engage in code reviews and design dialogues.
• Deploy and oversee services utilizing cloud-native tools and practices.
• Monitor, troubleshoot, and debug production systems and participate in the on-call incident response team within a high-uptime setting.

Requirements:

• Over 5 years of backend development experience, with at least 3 years involving Go in production-grade systems.
• Proficiency in leading large-scale system design and mentoring engineers in best practices.
• Thorough knowledge of concurrency, memory management, and performance optimization in Go.
• Demonstrated expertise in devising and deploying microservice architectures in high-availability, high-throughput environments.
• Sound understanding of message queues, event-driven architectures, and asynchronous processing.
• Strong grasp of microservice architecture and REST/gRPC APIs.
• Proficient in networking data transmission protocols such as TCP, UDP, WSS, etc.
• Experience in developing and deploying cloud-native applications.
• Familiarity with containerization technologies like Docker and orchestration engines (e.g., ECS, Kubernetes).
• Proficient in message brokers (e.g., Kafka) and distributed systems.
• Knowledge of data storage technologies including PostgreSQL, Redis, and time-series databases.