Software Development Engineer II

Software Engineering | Microsoft Careers

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Software Engineering

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Job description

Company and benefits

Job number

200059565

Date posted

Oct 05, 2026

Work site

3 days / week in-office

Travel

Less than 25%

Profession

Software Engineering

Discipline

Software Engineering

Role type

Individual Contributor

Employment type

Full-Time

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:

• -
• Bachel