Software Engineer II - Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Software Engineer II role focused on building and operating Azure Managed Grafana and Azure Monitor Dashboards with Grafana services, including new feature areas of Microsoft Foundry (formerly AI Foundry). The role involves designing and maintaining highly available cloud services, developing integrations, and creating scalable infrastructure. A key aspect is leveraging AI to enhance observability through anomaly detection, predictive alerting, and intelligent insights to help developers detect service health changes and resolve issues. The position requires strong programming skills in languages like C#, C++, or Java, and experience with cloud development, particularly Azure.

What you'd actually do

  1. Drive the creation of feature designs and lead design discussions with team members, leveraging your expertise to make informed decisions that align with the overall product vision.
  2. Participate in code reviews to maintain a high standard of code quality and consistency across the codebase, providing constructive feedback and guidance to team members.
  3. Implement comprehensive unit and functional tests, ensuring robust test coverage and reliability of the codebase, and deploy production bits to the Azure environment with a focus on automation and scalability.
  4. Establish and maintain telemetry to monitor usage and performance, proactively identifying and addressing potential issues to ensure optimal service delivery and customer satisfaction.
  5. Respond to incidents in a timely manner, working with cross-functional teams to mitigate impact and restore service availability, and contribute to the ongoing operation of the services in a cost-effective manner.

Skills

Required

  • Bachelor'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.
  • Ability to meet Microsoft, customer and/or government security screening requirements.

Nice to have

  • Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Java, JavaScript, or Python OR equivalent experience.
  • 2+ years of experience developing commercial software with C#, C++, or Java
  • 1+ years of proficiency with AI-assisted development tools (e.g., GitHub Copilot).
  • Experience with building testable, distributed and highly scalable online services on Azure or similar cloud platform
  • Detail oriented design, coding, debugging and problem-solving skills
  • Experience with Open Source Software development
  • Experience developing, deploying, or integrating AI-powered solutions in production environments.
  • Effective communication, collaboration, and problem-solving skills
  • A growth mindset and a willingness to learn new things and take on challenges
  • Passion for quality with strong customer empathy

What the JD emphasized

  • designing and maintaining highly available cloud services
  • developing seamless integrations with other Azure offerings
  • creating scalable, secure infrastructure
  • building anomaly detection, predictive alerting, and intelligent insights
  • Strong experience in programming languages such as C#, C++, or Java
  • proven track record of solving complex technical problems
  • ability to collaborate effectively with partner teams are essential requirements
  • Knowledge and hands-on experience with Azure or cloud development are highly desirable
  • Experience developing, deploying, or integrating AI-powered solutions in production environments.

Other signals

  • building foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI
  • integrating Grafana deeply into Azure to provide rich, intelligent dashboards that help developers understand both their cloud services and AI applications
  • leveraging AI to enhance observability - such as building anomaly detection, predictive alerting, and intelligent insights