Senior Software Engineer - Data Platform, AI Infrastructure

• Design, build, and operate core components of a distributed data platform, including: Orchestration systems (e.g., Airflow or equivalent)
• Backend services and APIs (Python/FastAPI or similar)
• Monitoring, alerting, and reliability systems
• Own the end-to-end lifecycle of platform components - from design through deployment, scaling, and maintenance
• Ensure systems meet requirements for availability, performance, and data reliability at large scale
• Define and enforce standardized patterns for infrastructure, deployment, and observability across the platform
• Partner with data engineering teams to enable efficient, reliable data processing workflows
• Diagnose and resolve complex issues in distributed systems, including performance bottlenecks and failure modes
• Contribute to infrastructure-as-code and deployment systems to support reproducibility and operational excellence
• Drive continuous improvements in system robustness, cost efficiency, and operational clarity

• 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 OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Strong programming experience in Python
• Experience building and operating large-scale distributed systems
• Hands-on experience with: Backend services or APIs (e.g., FastAPI, Flask, or similar)
• Cloud-based infrastructure (Azure, AWS, or GCP)
• Monitoring and observability systems (metrics, logging, alerting)
• Experience designing systems with reliability, scalability, and operational clarity in mind
• Proven ability to own and deliver production systems end-to-end
• Ability to break down ambiguous problems, ask the right questions, and execute effectively
• Experience with Azure technologies such as: ADLS Gen2 (Blob Storage)
• Synapse / Spark
• Azure Data Explorer (ADX)
• Experience with orchestration frameworks (e.g., Airflow)
• Experience with infrastructure-as-code (Bicep, ARM, Terraform, or similar)
• Familiarity with data platform concepts (data pipelines, schema evolution, data quality, etc.)
• Experience working on systems handling terabyte to petabyte-scale data
• Exposure to privacy, compliance, and secure data handling practices

• Strong programming experience in Python
• Experience building and operating large-scale distributed systems
• Hands-on experience with: Backend services or APIs (e.g., FastAPI, Flask, or similar)
• Cloud-based infrastructure (Azure, AWS, or GCP)
• Monitoring and observability systems (metrics, logging, alerting)
• Experience designing systems with reliability, scalability, and operational clarity in mind
• Proven ability to own and deliver production systems end-to-end
• Ability to break down ambiguous problems, ask the right questions, and execute effectively
• Experience with Azure technologies such as: ADLS Gen2 (Blob Storage)
• Synapse / Spark
• Azure Data Explorer (ADX)
• Experience with orchestration frameworks (e.g., Airflow)
• Experience with infrastructure-as-code (Bicep, ARM, Terraform, or similar)
• Familiarity with data platform concepts (data pipelines, schema evolution, data quality, etc.)
• Experience working on systems handling terabyte to petabyte-scale data
• Exposure to privacy, compliance, and secure data handling practices

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