Backend Engineer

About the Role

We are looking for an experienced Backend Engineer to design and build scalable, high-performance backend systems that power large-scale applications. You will work on distributed systems, event-driven architectures, and high-throughput services while collaborating closely with Product, Infrastructure, Data, and Engineering teams to deliver reliable and efficient platform capabilities.

Key Responsibilities

• Design, develop, and maintain scalable, low-latency backend services using languages such as Go, Rust, Java, or C++.
• Build and optimize distributed systems, APIs, data processing pipelines, and event-driven architectures to support large-scale applications.
• Improve system performance by profiling, tuning, and optimizing latency, throughput, memory utilization, and overall application efficiency.
• Design and implement reliable messaging and streaming solutions using technologies such as Kafka, RabbitMQ, RocketMQ, or similar platforms.
• Develop secure, highly available, and fault-tolerant backend systems that support business-critical applications.
• Troubleshoot and resolve production issues, perform root cause analysis, and continuously improve system reliability and operational stability.
• Participate in system architecture design, technical discussions, and code reviews to promote engineering best practices.
• Collaborate closely with Product Managers, Frontend Engineers, Infrastructure Engineers, Data Engineers, and QA teams throughout the software development lifecycle.
• Contribute to CI/CD, observability, and platform automation to improve development efficiency and operational excellence.
• Stay current with emerging backend technologies and continuously improve engineering standards and development processes.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline is preferred.
• At least 5 years of professional backend development experience.
• Strong proficiency in one or more of the following programming languages: Go, Rust, Java, or C++.
• Strong foundation in algorithms, data structures, concurrency, networking, and memory management.
• Experience building high-performance, distributed, and scalable backend systems.
• Solid understanding of Linux-based development and production environments, including debugging and performance optimization.
• Strong knowledge of network protocols including TCP/IP, HTTP/2, WebSocket, and related communication technologies.
• Experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar coding assistants.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to independently resolve complex technical challenges.
• Excellent communication and collaboration skills within cross-functional engineering teams.

Technical Skills

• Programming Languages: Go, Rust, Java, or C++
• Frameworks: Spring Boot, Spring Cloud, MyBatis, JPA, or equivalent backend frameworks
• Messaging & Streaming: Kafka, RabbitMQ, RocketMQ, Redis Streams, or similar messaging technologies
• Databases: MySQL and other relational or NoSQL databases
• Monitoring & Observability: Prometheus, Grafana, JProfiler, Arthas, OpenTelemetry, or similar monitoring and performance analysis tools
• Containerization & Cloud: Docker, Kubernetes, and containerized deployment environments
• Development Practices: RESTful APIs, microservices architecture, distributed systems, CI/CD, and automated testing

Preferred Qualifications

• Experience building large-scale distributed systems serving millions of users or processing high request volumes.
• Experience designing highly available, fault-tolerant, and resilient backend architectures.
• Experience optimizing low-latency and high-throughput systems.
• Experience designing event-driven architectures and large-scale data processing pipelines.
• Familiarity with distributed caching, database optimization, and performance tuning.
• Experience handling large-scale data processing and storage solutions.
• Experience supporting business-critical systems requiring high availability and rapid incident recovery.
• Familiarity with cloud-native architecture, Infrastructure as Code (IaC), and modern DevOps practices.