Senior Software Engineer

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Are you passionate about shaping the future of AI? Join us –Responsible AI group in Azure AI Platform. You’ll build Azure AI Content Safety and RAI service integrated into AI Studio, Azure OpenAI, AML, Cognitive Services, etc. Our mission is to empower developers and data scientists around the world and of all skill levels to easily add responsible AI capabilities to their applications.

In this panel, you will have the opportunity to learn how we can protect our world, keep AI from harming everyone's lives, and apply the most advanced technologies to achieve our mission. You will focus on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content, as well as detecting abusive customers to prevent them from misusing Microsoft AI products.

We are looking for talents who are passionate about building customer-facing AI services with excellent customer experience, scalable and sustainable architecture, implementation and with high performance, low latency, and high availability.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Required Qualifications

• Bachelor’s degree in Computer Science, a related technical discipline, or equivalent experience
• 8+ years of experience in designing and developing high availability, reliability, and scalability products and services
• Having experience writing production quality service in languages including but not limited to - C#, Go, Python, Java, C++, JavaScript
• Knowledge of containerization technologies such as Kubernetes, Docker, etc.
• Knowledge of AI technology products and tools
• Experience in building pre-production quality assurance pipelines and product runtime monitoring systems
• Experience in collaborating across disciplines and teams

Preferred Qualifications

• Ability to generate clarity and direction in ambiguous situations
• Comprehensive full stack development capabilities, with a strong emphasis on C#, Go, JavaScript, and React
• Experience in developing cutting-edge AI products and applications, with a deep understanding of AI technology and customer requirements
• Proven experience in developing SDKs, reusable platforms, or frameworks

#IDCAIPlatformHiring

• Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code
• Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft
• Reviews code of a product feature to assure it meets the team's and Microsoft's quality standards, is reliable and accurate and is appropriate for the scale of the product feature. Applies feedback to current and future iterations. Participates in code reviews to ensure coding standards are followed. Considers diagnosability, reliability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and screens for coding patterns and best practices in reviews
• Supports efforts to apply debugging tools and examines logs, telemetry, and other methods to verify assumptions proactively before issues occur and reactively as issues occur for product features. Conducts retrospective debugging of solutions to identify root causes of problems
• Contributes to the development of automation within production and deployment of a complex product feature. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight
• Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., project managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Escalates any issues that would cause a delay
• Identifies areas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards