Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Mountain View office. This role sits at the heart of designing distributed systems that process petabytes of data for the world's most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.

About the Role

As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

Accountabilities

• Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure.
• Modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• 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).

Personal attributes:

• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing.
• Experience with container orchestration (Kubernetes) for deploying data applications.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Redmond office. This role sits at the heart of designing distributed systems that process petabytes of data for the world's most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.

About the Role

As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

Accountabilities

• Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently
• Modernize our data stack by moving from batch-heavy patterns to event-driven architectures

The Candidate we're looking for

Experience:

• 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

Technical skills:

• 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)

Personal attributes:

• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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