資深後端工程師 Senior Backend Engineer

Position Overview We are building a high-growth content platform empowering creators to publish, interact, and monetize through livestreaming, short-form content, and community-driven engagement. Our backend team is responsible for building the core services that support real-time user interactions, creator point systems, task mechanics, and scalable content workflows. Key Responsibilities ￭ Design and build scalable, high-availability backend services to support real-time content interactions, creator rewards, and task systems. ￭ Lead or contribute to system architecture design that supports high concurrency and resilient distributed operations. ￭ Develop reliable data models and APIs with strong consideration for consistency, performance, and maintainability. ￭ Collaborate with cross-functional teams to prioritize and deliver product-aligned features with speed and quality. ￭ Establish and uphold best practices in system observability, monitoring, and incident response. ￭ Work closely with infrastructure to ensure backend services are robust, cost-efficient, and operable in cloud-native environments. ￭ Support deployment, scaling, and operational stability through a deep understanding of container orchestration and infrastructure automation. Requirements & Qualifications ￭ 5+ years of experience building and operating backend systems in production environments. ￭ Strong knowledge of designing systems for high concurrency, real-time data processing, and distributed architecture. ￭ Proficiency in Go and/or PHP, with solid experience in API design and backend architecture principles (e.g., CAP theorem, CQRS). ￭ Hands-on experience with relational databases and caching systems. ￭ Familiarity with modern cloud platforms (preferably GCP), including compute, networking, messaging, and storage components. ￭ Practical experience operating containerized services in orchestration platforms such as Kubernetes, including deployment, scaling, and monitoring. ￭ Proactive approach to observability, including structured logging, metrics, and alerting systems. ￭ Strong ownership mindset and the ability to make pragmatic technical decisions in fast-paced environments. Nice-to-Have Skills ￭ Experience with GCP-native services such as Load Balancer, Pub/Sub, Cloud SQL, Memorystore, and GKE. ￭ Experience managing or migrating observability stacks (e.g., ELK, Fluentd), or optimizing logging/monitoring pipelines. ￭ Familiarity with infrastructure-as-code (e.g., Terraform, Helm) and CI/CD practices. ￭ Contributions to open-source projects or a portfolio demonstrating system design and backend expertise. ￭ Knowledge of cloud cost optimization strategies and high-availability architecture patterns.