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Senior Software Engineer - Data Platform, AI Infrastructure

Microsoft

Senior Software Engineer - Data Platform, AI Infrastructure

Microsoft

United States, Washington, Redmond; United States, California, Mountain View

·

On-site

·

Full-time

·

1w ago

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.

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关于Microsoft

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

4.4

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.3

职业发展

3.8

管理层

4.0

82%

推荐给朋友

优点

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

缺点

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

薪资范围

5,620个数据点

Senior/L5

Senior/L5 · Account Management

5份报告

$209,483

年薪总额

基本工资

$181,941

股票

-

奖金

-

$194,895

$209,483

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge