Senior Software Engineer - Data Platform, AI Infrastructure

Microsoft•Redmond, WA

22h

About The Position

Overview We are building a large-scale, productized data platform that powers critical insights and systems across Azure-based services for AI Infrastructure. This platform will process terabytes to petabytes of data daily and is designed for reliability, scalability, and long-term evolution. As a Senior Software Engineer - Data Platform, AI Framework you will focus on building and operating the core infrastructure layer of the platform - covering orchestration, APIs, observability, and system reliability. You will work closely with data engineers and partner teams to ensure the platform is robust, standardized, and capable of supporting rapid growth. We are looking for engineers who execute well, own systems end-to-end, and bring structure to complex problems - not just ideas. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. 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. Responsibilities 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 Qualifications Required Qualifications: 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. Other Requirements: 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. Preferred Qualifications: 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 #aiinfra Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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 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.

Nice To Haves

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

Responsibilities

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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume