Software Engineering M365 Copilot App Platform

Microsoft • Redmond, WA

6d

About The Position

Application and Platform Ownership: From the app code to backend web servers and middle-tier services. Partner Enablement: All AI-enabled experiences from partner teams are built on our platform, making us critical to their success. Data and Insights: We manage the data pipeline that supports business insights and operational excellence. End-to-End Delivery: From platform APIs and infrastructure to deployment and monitoring, ensuring reliability and scalability. As a Senior Software Engineer in the M365 Copilot App Platform team, you will design, build, and optimize scalable data pipelines and platforms that power advanced analytics and AI solutions. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• These requirements include but are not limited to the following specialized security screenings:
• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Responsibilities

• Design and implement robust ETL/ELT workflows for structured and unstructured data using modern data engineering frameworks.
• Scalable Data Solutions: Build distributed data processing systems leveraging technologies such as Spark, Azure Data Lake, and Synapse.
• Data Quality & Governance: Establish standards for data integrity, lineage, and compliance with enterprise security and privacy policies.
• Performance Optimization: Monitor and tune data pipelines for efficiency, scalability, and cost optimization.
• Data Visualization & Low-Code Solutions: Develop and maintain low/no-code dashboards and data-driven apps (e.g., Power BI, Vibe-coded apps) to enable self-service analytics for stakeholders.
• Experimentation Infrastructure Support: Help maintain and enhance experiment platforms, including Cosmos streams and VC(s), ensuring reliability and scalability for A/B testing and feature experimentation.
• Collaboration & Mentorship: Partner with cross-functional teams to integrate data solutions into AI products and mentor team member/engineers on best practices.
• Innovation & Continuous Improvement: Evaluate emerging technologies and contribute to architectural decisions for next-generation data platforms.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees