微软Senior Software Engineer
任职要求
Required qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. • Minimum of 2 years of experience in developing large-scale distributed systems or AI agent systems. • Experience with object-oriented design principles in software development is a plus. • Proficiency in programming languages such as Python, JavaScript, C#, and Go. Additional or preferred qualifications: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. • Familiarity with AI Agents, MCP servers, microservices archite…
工作职责
• Design, develop, and maintain new features while enhancing existing systems for performance, scalability, and reliability. • Write clean, testable, and maintainable code that adheres to design specifications, coding patterns, and security best practices. • Conduct timely code reviews to ensure quality, coach peers, and drive adherence to standards, diagnosability, and maintainability. • Troubleshoot live-site issues, deploy fixes, and implement solutions that reduce incident volume and improve system observability. • Collaborate with cross-functional teams to align on architecture, dependencies, and project goals, resolving blockers and driving success. • Ensure security compliance by configuring, updating, and maintaining tools, applying secure design principles, and validating security invariants. • Incorporate user feedback and telemetry data into design decisions, continuously improving product value, accessibility, and user experience.
As a pivotal member of the Copilot Team, you will bring unique perspectives and expertise to the organization, driving innovative features and delivering transformative AI-powered experiences:• This is an IC role, Coding / engineering design time >70%• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized web applications.• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.• Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.• Design and implement performance testing strategies to proactively address bottlenecks.• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.• Solve technical challenges to deliver outstanding outcomes for customers and the business.
• Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations.• Own data quality initiatives including monitoring, validation, and remediation to ensure integrity across attribution datasets and downstream dashboards.• Implement schema management solutions that enable quick and seamless evolution of attribution data without disrupting consumers.• Develop and maintain infrastructure that supports both batch and real-time attribution requirements.• Collaborate with product managers, marketing analysts, and data scientists to deliver insights for campaign optimization and growth strategies.• Design scalable attribution data architectures that can handle growing data volumes and evolving business needs.• Implement comprehensive monitoring and observability solutions for attribution pipelines, including SLA tracking and automated alerting.
• Design, develop, and manage Streaming and Batch pipelines, supporting key functionalities such as large-scale index construction, web page crawling and feature extraction, image processing, and context re-writing. • Optimize continuously a platform to manage, schedule, and monitor hundreds of pipelines. • Optimize continuously a platform to view, track, debug, and operate massive scale Ads Data. • Evaluate and optimize code and design, to maximize performance, minimize complexity. • Mentor junior SDE and solely drive feature development from ground zero.
Build/Improve experiment platforms for new scenarios.Build data pipelines on multiple computation platforms for reporting, analysis and metrics pre-computation with stable SLA and good quality.Build agents for productivity improvement.