Senior Backend Engineer (Golang)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (Golang): Building and optimizing high-performance, cloud-native infrastructure to support research, trading, and data pipelines with an accent on real-time data ingestion and low-latency processing. Focus on designing robust backend systems, ensuring reliability in high-uptime environments, and driving engineering excellence.
Location: On-site in Hong Kong
Company
Our client is a company focused on high-performance, cloud-native infrastructure to support research, trading, and data pipelines.
What you will do
- Lead the design and development of robust high-performance, cloud-native backend systems using Go.
- 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.
- Monitor, debug, and troubleshoot production systems and be a part of the on-call incident response team.
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).
- 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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