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.
1. Work with product teams and stakeholders to translate business requirements into scalable technical solutions； 2. Conduct technical discussions, and solution presentations in fluent English with external clients and non-technical stakeholders； 3. Design, develop, test, and deploy Java applications using Spring Boot, adhering to coding standards, best practices, and microservices architecture principles； 4. Develop high volume, high performance, low latency and reliable mission-critical applications； 5. Participate in architectural reviews, apply design patterns and object-oriented design principles, and optimize system performance (e.g., SQL tuning, JVM profiling)； 6. Assist in troubleshooting and resolving software defects and issues； 7. Containerize applications using Docker, manage orchestration via Kubernetes, and deploy to cloud platforms (AWS/Aliyun)； 8. Participate in sprint planning, code reviews, and CI/CD pipeline maintenance within Scrum teams.
This role demands the best and brightest; the ideal candidate will be self- motivated, accountable, technically strong and offers a diverse skillset that aligns with the key qualifications listed above. You love working in a dynamic fast paced environment, building and maintaining strong working relationships with a variety of partners, including business partners, application owners, project managers, technology and infrastructure teams to get the work done. You naturally take a deep interest in working closely with business partners to drive the product feature and technology roadmap beyond the first release.
• Design, develop, and deploy robust AI/ML systems with high-quality, scalable, and maintainable code • Translate complex, ambiguous requirements into clear technical plans and lead project execution across engineering efforts • Build scalable infrastructure and platforms to support cutting-edge machine learning workflows, including agentic systems that can plan, reason, and act autonomously • Research and apply state-of-the-art ML techniques—including LLMs, custom model training, and RAG/agent-based architectures—to real-world hardware challenges • Stay current with the fast-evolving AI/ML landscape, continuously improving our tools, systems, and methods to maintain a technical edge • Provide technical mentorship, foster a culture of excellence and inclusion, and help grow team capabilities • Lead design discussions, author technical documentation, and provide thoughtful, actionable feedback to peers • Represent the team in executive reviews, product demos, retrospectives, and cross-functional forums
This role requires a blend of skills in software engineering, machine learning, and operations to ensure the smooth functioning of ML systems in production environments. In this role you will: - Lead the team to design and implement automation for model training, testing, validation, and deployment - Collaborate with machine learning engineers to ensure efficient deployment and scaling of ML models - Implement monitoring and alerting systems to track model performance, system health, and data drift - Optimize compute resources for cost and performance efficiency - Manage model versions to ensure traceability and reproducibility