Principal Software Engineer

Microsoft's Azure Data team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our products include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure MySQL, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

We are looking for a Principal Software Engineer with experience working with all aspects of high-throughput and multi-tenant services, able to design components carefully, identify opportunities to reuse existing software and infrastructure, write clean and well-factored code with good tests and maintainability, able to drive architectural changes and influence the roadmap of relevant software components in various database service teams.

Responsibilities:

• Build and deploy data pipeline infrastructure into different database systems to collect training data and store it in the most cost-effective manner possible.
• Design and implement machine learning model deployment and monitoring.
• Design, optimize, debug, refactor, and reuse existing code to improve performance and maintainability, effectiveness, and return on investment (ROI).
• Apply metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.
• Hold accountability and mentor other engineers across products/solutions, working on call to monitor system/product/service for degradation, downtime, or interruptions.
• Develop a playbook for the team to resolve issues.
• Act as a key contact for leadership to ensure alignment with partners' expectations.
• Help build a test-driven engineering culture to reduce regressions and bugs in production and set a higher bar for infrastructure quality.

Required Qualifications:

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

Preferred Qualifications:

• Experience with Azure/AWS/GCP or other cloud computing platforms
• Demonstrated experience in working with operational databases, machine learning, data science, and distributed systems
• 4+ years of experience in developing and running operational services
• 4+ years of experience with Machine Learning software or building associated data pipelines
• 2+ years of experience in tuning performance of ML or HPC applications

Microsoft is an equal opportunity employer and offers industry-leading healthcare, educational resources, discounts on products and services, savings and investments, maternity and paternity leave, generous time away, giving programs, and opportunities to network and connect.