Microsoft is looking to shape and build a rapidly expanding commercial platform by designing and implementing intelligent, scalable, and secure AI-driven solutions that build the next generation of commerce automation.
Requirements
- 4+ years of experience in software engineering practices, coding and solid foundation in data structures and algorithms, with problem solving, debugging and analytical skills.
- 3+ years’ experience in design and implementation of large-scale cloud services.
- Industry experience with cloud technologies (Azure, AWS, Google).
- Experience with distributed systems, micro-service architecture, scalability patterns, and high-availability architecture.
- Experience with AI/ML technologies, especially LLMs and prompt engineering.
- Experience with Pub/Sub systems and streaming ingestion systems.
- Familiarity with modern engineering practices such as CI/CD and version control systems like Git.
Responsibilities
- Create, implement, optimize, debug, refactor, and reuse code to enhance performance, maintainability, effectiveness, and return on investment (ROI).
- Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor systems/products/services for degradation, downtime, or interruptions, alerting stakeholders about status, and initiating actions to restore systems/products/services for both simple and complex problems when appropriate.
- Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns to improve the availability, reliability, efficiency, observability, and performance of products while driving consistency in monitoring and operations at scale.
- Lead by example, engage in discussions on the architecture of products or solutions, and apply engineering principles to establish robust and maintainable architecture and designs.
- Design, develop, and operationalize the deployment of complex, enterprise-grade cloud services that leverage multiple services and platforms, ensuring high availability, scalability, robustness, and observability.
- Be responsible for the end-to-end lifecycle of these services, ensuring their scalability, reliability, and security.
- Drive improvements for systems and engineering processes with simplicity and maintainability as core tenets.
Other
- Collaborate with stakeholders to determine user requirements for various scenarios.
- Leverage subject-matter expertise of product features and partner with stakeholders (e.g., project managers) to drive project plans, release plans, and work items for the workgroup.
- Overcome roadblocks to deliver work to users quickly and iteratively.
- Drive, coach, and mentor others through design reviews, code reviews, and test case reviews.
- Deliver value through a collaborative approach spanning multiple teams across geographies.
