"Learning fast is an engineer’s superpower in the AI era." What You'll Be Doing Lead the backend architecture design, core module development, and system optimization for the company’s core products and platforms, building highly available and high-performance distributed systems. Drive the design and evolution of cloud-native microservices architectures based on Kubernetes and Docker, ensuring system scalability, resilience, and observability. Design and implement critical middleware components for high-concurrency environments, including message queues, asynchronous task scheduling systems, and distributed caching solutions. Continuously improve system performance, security, and reliability to address complex technical challenges and ensure high availability. Promote deep integration of AI throughout the software development lifecycle, leveraging intelligent tools to improve efficiency across design, coding, testing, deployment, and operations. What You’ll Need Strong proficiency in Go (Golang), with a deep understanding of its concurrency model, garbage collection mechanisms, and high-performance best practices. Extensive experience with Kubernetes, Docker, and Linux, including hands‑on implementation of cloud-native architectures. Solid expertise in MySQL, Redis, RabbitMQ/Kafka, and distributed systems design. Proven experience in large‑scale system performance optimization, high-concurrency processing, and stability engineering. Outstanding recent graduates are encouraged to apply. Bachelor’s degree or above in Computer Science or a related field, with strong system design and technical documentation skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field. Years of Experience: Intermediate: 3+ years of professional software development experience. Senior: 6+ years of professional software development experience. Extensive experience using AI coding assistants such as GPT, Claude, Cursor, Copilot, or similar tools in large-scale engineering workflows. Demonstrated AI-native development experience with measurable engineering productivity impact. Experience building or contributing to open-source projects, technical blogs, or engineering knowledge-sharing initiatives. Passion for improving engineering productivity through AI-driven development methodologies. Startup or high-growth company experience. Strong ownership mindset, problem-solving skills, and collaborative spirit. In-office expectations: This role requires employees to work onsite five days per week. However, for employees who live 56 kilometers or more from one of our offices, we can accommodate up to two work-from-home days per week upon request. Perks & Benefits Highly competitive compensation package, plus year-end performance bonuses and equity opportunities Flexible work arrangements with a premium office experience designed for collaboration and creativity Comprehensive health, dental, and insurance coverage to keep you and your family supported Complimentary lunch, dinner, snacks, coffee, and drinks, because great work runs on great food Fun, energetic office environment with regular team events, gaming, and creator culture vibes #J-18808-Ljbffr