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Full Stack Engineer

Apple•Published 4 months ago•First seen 2 months ago
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Summary

Are you a versatile engineer who excels at bridging the gap between innovative development and rock-solid operations? We are seeking a high-caliber Senior Full Stack & Operations Engineer to lead the end-to-end lifecycle of our next-generation services. In this role, you will not only architect and build robust frontend and backend systems but also take full ownership of their deployment, scaling, and long-term reliability across global cloud infrastructures. We are looking for a technical polyglot who thrives on learning new technologies, utilizes AI to solve complex engineering challenges, and remains calm under pressure during critical system incidents. If you are a proactive problem-solver who enjoys the intersection of software development and cloud-native orchestration, we want to hear from you.

Description

As a Full Stack Engineer, you will be the cornerstone of our team's technical resilience and service delivery. Your capabilities will span across active development, live system operations, and in-depth problem triaging:

  • End-to-End Service Development: Design, build, and maintain scalable frontend and backend systems, ensuring seamless integration, high performance, and exceptional user experiences.、
  • Cloud Infrastructure & Deployment: Architect and manage robust deployment pipelines. Leverage your deep expertise in CI/CD, Kubernetes (K8s), and distributed cloud platforms (e.g., AWS, GCP, AliCloud) to ensure smooth, automated rollouts.
  • Operational Excellence & Monitoring: Take ownership of system health and operational readiness. Create, manage, and optimize comprehensive monitoring dashboards and alerting systems to proactively identify anomalies before they impact users.
  • Incident Response & Emergency Triage: Act as a critical responder during technical escalations. Demonstrate swift analytical skills and unwavering composure to troubleshoot, manage, and mitigate live system emergencies effectively.
  • Deep Problem Analysis: Apply a highly proactive mindset to dive deep into system logs and complex, multi-tiered architectures to pinpoint the exact root causes of issues, driving them to permanent systemic fixes.
  • AI-Driven Engineering: Proactively integrate AI-powered tools and methodologies to accelerate development, automate repetitive tasks, and perform intelligent root-cause analysis of system anomalies.
  • Continuous Learning: Champion a culture of proactive learning, rapidly adapting to new frameworks, infrastructure paradigms, and emerging technologies to keep our tech stack at the cutting edge.

    Minimum Qualifications

    • BS/MS in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
    • Solid foundation in Computer Science with proven experience in full-stack software development, encompassing both backend services and frontend interfaces.
    • Strong proficiency in scripting and programming languages, specifically Python and Linux shell scripting.
    • Hands-on experience managing and deploying to modern cloud environments (e.g., GCP, AWS, AliCloud) and deep familiarity with containerization and orchestration using Kubernetes (K8s).
    • Demonstrated expertise in building, maintaining, and scaling CI/CD pipelines and automated deployment workflows.
    • Proven experience in live incident response and operational monitoring, including the creation and management of observability dashboards.
    • Excellent analytical and root-cause analysis skills, with a highly proactive, self-starting mentality and an eagerness to continuously learn.
    • Demonstrated ability to effectively utilize AI tools to enhance productivity, streamline debugging, and optimize operational workflows.

    Preferred Qualifications

    • Practical experience with iOS development technologies and strong familiarity with Swift.
    • Understanding of mobile-to-cloud architectures and client-side profiling tools (e.g., Xcode, Instruments).
    • Experience building custom internal developer tools or advanced automation frameworks for operational efficiency.
    • Highly adaptable and resilient, with the proven ability to maintain composure and drive swift solutions during critical, time-sensitive software emergencies.