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Salary
$102k – $202k per year
Location
In office (United States)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 2, 2026. Microsoft scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Microsoft is an American multinational technology corporation founded in 1975 by Bill Gates and Paul Allen and headquartered in Redmond, Washington. It built the personal computing era around the Windows operating system and the Office productivity suite, and now generates the largest share of its revenue from Azure cloud infrastructure and commercial subscriptions. The company also owns GitHub, LinkedIn and the Xbox gaming business, and has invested heavily in artificial intelligence through its partnership with OpenAI and the Copilot assistants embedded across its products.
Overview

We are looking for a Software Development Engineer II in Microsoft Cloud Operations + Innovation (CO+I) team. CO+I is the organization responsible for designing, building, and operating the global infrastructure that powers Microsoft cloud services. CO+I delivers the datacenters, networks, operational systems, and critical environments required to keep services available, secure, resilient, and sustainable for customers worldwide.

As a critical part of CO+I, Inventory and Asset Management (IAM) provides the platforms used to manage equipment and inventory throughout their operational lifecycles. IAM supports capabilities including inbound receiving, asset and component tracking, location and custody management, reservations, transfers, break-fix, warranty and RMA, Critical Environment inventory, decommissioning, and secure handling of data-bearing devices.

Responsibilities

Responsibilities:

  • Be a problem solver: seek out meaningful customer and operational problems, challenge assumptions, and focus engineering effort on outcomes rather than predefined solutions.

  • Partner with cross-functional teams - including product and program management, datacenter operations, supply-chain stakeholders, and partner engineering teams - to observe workflows, gather evidence, uncover root causes, and define the right problems to solve.

  • Own problems end to end, from discovery and problem framing through technical design, implementation, validation, production rollout, and measurement of customer and business impact.

  • Use an AI-native engineering approach in day-to-day work. Apply coding agents, generative AI, automation, and emerging engineering tools to accelerate exploration, implementation, testing, review, documentation, and operations while maintaining appropriate human judgment and accountability.

  • Identify opportunities to embed AI, agents, and automation into datacenter inventory workflows and shared engineering capabilities; validate their value through rapid experiments and measurable results.

  • Design and build production-grade inventory services, APIs, workflows, and user experiences across asset lifecycle, inventory, component tracking, movement, fulfillment, break-fix, and decommissioning scenarios.

  • Translate ambiguous business and operational needs into clear technical plans, interfaces, data contracts, and maintainable implementation patterns.

  • Make engineering tradeoffs across reliability, security, usability, performance, cost, and delivery speed, and communicate those decisions clearly to technical and non-technical partners.

  • Own the quality and production readiness of delivered capabilities, including automated testing, observability, secure data handling, safe deployment, incident response, and continuous improvement.

  • Use telemetry, customer feedback, operational data, and experiments to evaluate solutions, diagnose issues, and determine whether to scale, redirect, or stop an approach.

  • Contribute to design and code reviews, share knowledge, and help the team adopt effective AI-native and software-engineering practices through working software and practical guidance.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; OR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years of technical engineering experience; OR Master's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience; OR equivalent experience.
  • Experience designing and delivering production software, developer tools, services, or platform components as part of a collaborative engineering team.
  • Experience using generative AI models, coding agents, or engineering platforms to build software, with awareness of evaluation, reliability, security, and appropriate human oversight.
  • Experience improving developer workflows, engineering systems, operating practices, or developer experience and using feedback or measurements to assess the results.
  • Working knowledge in one or more areas such as cloud platforms, distributed systems, developer tooling, identity and security, observability, CI/CD, testing infrastructure, or safe deployment.
  • Experience building or operating products for developers, AI-enabled engineering workflows, internal developer platforms, developer tooling, or cloud infrastructure is preferred.
  • Demonstrated ability to work through moderately ambiguous problems, make sound implementation tradeoffs, and take well-defined features from design through production operation.
  • Demonstrated ability to communicate technical ideas clearly, collaborate across team boundaries, learn from feedback, and contribute positively to team engineering practices.

Background Check 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.

#COICareers | #EPCCareers | #DCDCareers

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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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