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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Member of Technical Staff - Data Platform

United States, Mountain View 119800.00 - 234700.00 USD / Year · Job Posted February 13, 2026
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Job Description

If you are excited by the challenge of designing distributed systems that process petabytes of data for the world's most advanced AI models, this is your team. We are not looking for someone to just write queries or maintain legacy pipelines. We are looking for Systems Builders—engineers who understand the internals of distributed compute, who treat data infrastructure as a product, and who want to architect the backbone of Microsoft Copilot. Join us to build the "Paved Road" for AI. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users. We need someone who is energized by solving hard problems in stream processing, lakehouse architecture, and developer experience.

Job Responsibility

  • Core Platform Engineering: Design and build the underlying frameworks (based on Spark/Databricks) that allow internal teams to process massive datasets efficiently
  • Distributed Systems Architecture: Modernize our data stack by moving from batch-heavy patterns to event-driven architectures
  • Unstructured AI Data Pipelines: Architect high-throughput pipelines capable of processing complex, non-tabular data (documents, code repositories, chat logs) for LLM pre-training, fine-tuning and evaluations datasets
  • AI Feedback Loops: Engineer the high-throughput telemetry systems that capture user interactions with Copilot
  • Infrastructure as Code: Treat the data platform as software. Define and deploy all storage, compute, and networking resources using IaC (Bicep/Terraform)
  • Data Reliability Engineering: Move beyond simple "validation checks" to build automated governance and observability systems
  • Compute Optimization: Deep-dive into query execution plans and cluster performance. Optimize shuffle operations, partition strategies, and resource allocation

Requirements

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
  • Proficiency in Python, Scala, Java, or Go
  • Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake)
  • Experience architecting Lakehouse environments at scale (using Delta Lake, Iceberg, or Hudi)
  • Experience building internal developer platforms or "Data-as-a-Service" APIs
  • Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing
  • Experience with container orchestration (Kubernetes) for deploying data applications
  • Experience enabling AI/ML workloads (Feature Stores, Vector Databases)

Nice to have

  • Bachelor's or Master's Degree in Computer Science, Software Engineering, or related technical field
  • 4+ years of experience in Software Engineering or Data Infrastructure
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Member Of Technical Staff, Microsoft Robotics (Perception)

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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.
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