ResponsibilitiesAI-Native DevelopmentUses AI tools effectively across the SDLC, taking accountability for reviewing and validating AI-generated outputs with minimal guidance.
CodingDevelops, reviews, and improves code with a focus on quality, security, and maintainability, while leveraging testing, telemetry, and best practices to prevent and resolve issues.
DesignCollaborates on architecture and design decisions, evaluates options, and contributes to scalable, secure, and well-documented solutions aligned with product requirements.
Engineering ExcellenceApplies best practices across security, compliance, performance, and automation, while continuously improving tools, processes, and system reliability at scale.
ImplementExecutes project and release plans, breaking down work, ensuring secure and compliant deployments, and using safe rollout strategies like flighting and experimentation.
Reliability and SupportabilityMaintains live-site health through monitoring, incident response, and telemetry, improving troubleshooting processes and ensuring secure, reliable service operations.
Understand User RequirementsWorks with stakeholders to understand customer needs and incorporates both explicit and implicit feedback into feature design and continuous improvements.
QualificationsRequired/minimum qualificationsBachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications- Experience with distributed systems, micro-service architecture, scalability patterns, and high-availability architectures. 1
- Experience contributing to solution design by exploring design options, documenting technical decisions, and proactively managing upstream and downstream dependencies while partnering with other teams to deliver scalable, reliable, and secure solutions.
- Experience with REST Based API's development, messaging patterns (e.g. Service bus, Event Hub, Storage Queues) and cloud storage technologies ( e.g. Cosmos DB)
- Experience in deploying, monitoring, and operating services in the cloud.
- Industry experience with cloud technologies (Azure, AWS, Google).
- Familiarity with modern engineering practices such as CI/CD and version control systems like Git.
- Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants) to improve engineering productivity, code quality, and software delivery.
- Problem-solving skills, with a data-driven approach to debugging and performance optimization.
- Communication and collaboration skills.
- Problem-solving, troubleshooting, and organizational skills.
- Experience with or exposure to Agile and iterative development processes.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
