Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Business fluency in English (read, write, speak).
Preferred Qualifications:
Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
Understanding of version control systems (e.g., Git) and DevOps practices.
Curiosity, collaboration mindset, and a passion for solving real-world customer problems.
Responsibilities
Responsibilities
Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.
Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.
Implement robust monitoring, logging, and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.
Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.
Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.
Champion a culture of diversity, inclusion, customer obsession, and continuous learning.