微软Senior Software Engineer (Frontend)
任职要求
Required Qualifications (RQs) • Bachelor’s degree in computer science, Software Engineering, or a related technical field. • 5+ years of professional experience designing, developing, and maintaining mobile (iOS/Android) and web applications using frameworks and languages such as React, React Native, Swift, Kotlin, JavaScript, or TypeScript OR equivalent experience. • Strong UX sensibility and experience working closely with designers to bring complex, user-centric features to life. • Excellent communication and collaboration skills. You take ownership and are proactive in cross-functional discussions. Preferred Qualifications (PQs) • Passion or experience working with AI-powered products or LLMs • Familiarity with payment solutions — including integrating payment gateways (e.g., Stripe, PayPal), handling subscriptions, in-app purchases, or secure transaction flows across web and mobile. • Experience or strong interest in data handling processes—such as data ingestion, transformation, cleansing, and integration within web and mobile applications—is a plus. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
工作职责
• Review, author, and optimize high-quality, extensible web and mobile code (React, React Native, Swift, Kotlin) to meet team standards for performance, security, testability, reliability, and maintainability. • Integrate automated static analysis (ESLint, SonarQube) and testing frameworks (Jest, XCTest) into the CI/CD pipeline, and provide timely, insightful code reviews to drive adherence to best practices and accelerate development. • Define and own the architecture and design of web and mobile features, producing clear design documents, trade-off analyses, and testability plans that ensure performance, scalability, reliability, security, and compliance across the entire stack. • Identify upstream and downstream dependencies, model system interactions, and collaborate with cross-functional teams to validate design hypotheses, integrate AI-driven testing strategies, and continuously improve test coverage, defect localization, and overall solution quality. • Lead security, privacy, and compliance excellence by embedding “security as code” invariants, implementing deployment gates and automated scanners, instrumenting telemetry and audit trails, conducting threat models and incident drills, and collaborating with cross-functional security partners to uphold global and local regulations. • Integrate end-to-end observability into web and mobile services by instrumenting comprehensive logging, telemetry, and real-time dashboards for performance, availability, and security; serve as the DRI on on-call rotations to swiftly diagnose and remediate incidents, drive root-cause postmortems, refine troubleshooting guides, and implement automated alerts and mitigations to continuously boost reliability and supportability. • Partner with product managers, privacy/security experts, technical leads, and customer-facing teams to elicit, validate, and prioritize user requirements for web and mobile solutions, embedding continuous feedback loops with quantitative metrics (usage patterns, performance) and qualitative indicators (accessibility, globalization), while championing end-user privacy and security throughout the development lifecycle.
• Lead code reviews to ensure adherence to engineering standards, test coverage, and secure coding practices. Provide feedback and mentorship to peers, and apply tools and patterns that enhance reliability, diagnosability, and maintainability. • Develop scalable and secure design proposals, collaborating across teams to resolve dependencies and validate design hypotheses. Ensure solutions meet performance, compliance, and cost expectations. • Create and maintain test plans that validate functionality and security. Leverage automation and AI tools to improve test reliability and coverage, and ensure testability is embedded in design. • Apply secure design principles and engineering best practices to build resilient systems. Drive automation in deployment, ensure compliance with global regulations, and integrate security monitoring and incident response mechanisms. • Translate product requirements into actionable plans, estimate effort, and guide execution. Ensure safe deployment practices, flighting strategies, and rollback plans are in place to support efficient and secure releases. • Integrate telemetry and observability into systems to monitor performance and security. Act as a Designated Responsible Individual (DRI), lead incident response efforts, and continuously improve live site operations and support documentation. • Collaborate with stakeholders to understand user needs and incorporate feedback into product design. Ensure privacy and security requirements are met, and establish feedback loops to measure impact and value.
• Working on backend and frontend design and development of web applications. • Collecting requirements and provide consultation to end users about their needs and use cases. • Analyzing performance bottlenecks. • Supporting and maintaining large scale data platform with high QoS. • Building infrastructure and microservices for various big-data scenarios.
As chip sizes continue to grow, power efficiency has become paramount across all applications - from data centers to automotive and personal computing. Our PMU IP, developed over the past 13 years, is crucial in optimizing chip performance and efficiency in both idle and active scenarios. The PMU IP consists of a RISC-V core and custom-designed control logic. It collects and processes data from the entire chip, working in tandem with software running on the RISC-V core to determine optimal operating points. We are seeking a Senior ASIC Engineer who can help architect the next generation PMU for AI datacenter. What you’ll be doing: • Collaborate with the production SW team and power arch team to define the architecture/micro-architecture for various power features. • Learn how PMU's function impacts the system and support the silicon debug. • Implement the micro-architecture to RTL design.
Design and develop AI-driven applications, delivering scalable, user-focused solutions across web and mobile platforms.Build and maintain robust, cloud-based architectures, ensuring seamless integration of front-end and back-end systems with AI models.Prototype and implement new features, leveraging analytics, user insights, and market trends to improve product quality and user experience.Collaborate with product managers, designers, and data scientists to align technical solutions with product strategies and business goals.Drive technical innovation by exploring new technologies and frameworks, ensuring system performance, maintainability, and scalability.Mentor and support junior engineers, fostering a culture of collaboration, learning, and continuous improvement.