Microsoft

Senior Software Engineer

Microsoft$119K — $234K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or a related technical field.
  • 4+ years of technical engineering experience in software development.
  • Proficient in coding with languages like C, C++, C#, Java, JavaScript, or Python.
  • 5+ years of preferred experience in software engineering with a focus on automated testing and validation.
  • Knowledge of server administration and management features.

Responsibilities

  • Design and implement tracking for AI usage, policy, and efficiency.
  • Build observability pipelines utilizing telemetry insights and diagnostics.
  • Define and develop the management layer for AI inference toolchains.
  • Create validation plans for assessing infrastructure quality and workflows.
  • Coordinate with security teams to ensure compliance with platform requirements.

Benefits

  • Opportunity to work with cutting-edge AI technologies in on-prem and hybrid environments.
  • Chance to influence the next generation of enterprise-level AI capabilities.
  • Collaborative work environment focusing on deep systems engineering and modern AI innovation.
  • Engagement with security and compliance teams to meet critical benchmarks.
Full Job Description
Overview

Core OS is responsible for the foundational technologies that underpin Windows and Windows Server, providing the trusted platform on which customers run their most critical workloads. Our team combines deep systems engineering with modern AI innovation to bring the next generation of intelligent capabilities to enterprise environments.

We are hiring a Senior Software Engineer to build new Artificial Intelligence (AI) platform capabilities for Windows Server across on-premises and hybrid customer deployments. You will be at the forefront of AI inference in a novel environment, and your work will infuse cutting edge AI concepts into existing Server platforms and workflows.

AI has thus far remained in the cloud, and you will translate those cloud-connected ideas to air-gapped, on-premises and hybrid environments. You will work at the intersection of AI models, agents, identity, and management surfaces on our most hardened OS platform. Experience or demonstrated interest in operating system fundamentals is a plus; experience with existing AI inference toolchains is valued.

Responsibilities
  • Design and implement how we track usage, policy and efficiency for artificial intelligence capabilities.
  • Build observability pipelines through telemetry insights, diagnostics, and health signals needed to measure how this on-prem infrastructure is performing.
  • Define and develop the management layer for AI inference toolchains from model lifecycles and catalogs to language and protocol gateways.
  • Design and implement validation plans to assess the quality of this infrastructure and evaluate the end to end workflows and life cycle experiences of such a solution.
  • Coordinate with security and compliance teams to ensure this toolchain meets or exceeds platform release requirements.


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.

Preferred Qualifications
  • 5+ years of professional software engineering experience with coding in one or more languages such as C, C++, C#, Java, JavaScript, Python, Rust, or TypeScript, including designing automated tests and validation for the software you ship.
  • Demonstrated knowledge of Server administration and management features.
  • Familiarity with Server deployment and usage strategies in air-gapped or on-premises environments.
  • Understanding of AI model catalogs, model servers, protocols and inference layers.
  • Familiarity with the current state of the art around observability and diagnostics.
  • Experience with systems software development, deep systems architecture, driver development, and code architecture/design for complex software systems.

#W+DJOBS

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 $160,200 - $261,000 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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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