Overview

When AI traffic scales, network operations must scale faster—and that’s exactly what we’re building. You’ll be part of the agentic AI team for Azure Networking Edge, where you create agents that take on the operational work required to keep the Edge healthy and reliable. You’ll modernize live-site operations from manual triage to agent-led execution, extending proven work where our agent already automates major NOC workflows and handles a significant portion of operational load.

As a Software Engineer in our agentic AI team for Azure Networking Edge, you will design, build, and ship AI agents that turn manual network operations into reliable, end-to-end automated workflows. You’ll partner across engineering and operations to identify high-impact operational pain points and translate them into agentic experiences that improve speed, quality, and scalability for a rapidly growing network.

This opportunity will allow you to (1) accelerate your career growth by owning customer-critical scenarios end-to-end, (2) build deep domain knowledge in cloud networking operations at hyperscale, and (3) strengthen your product and engineering judgment by shipping automation that must be safe, measurable, and dependable., and (4) hone your systems and AI engineering skills by building production-grade agent workflows that replace repetitive manual effort.

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- Works with appropriate stakeholders (network engineers, NOC/DRIs, and partner teams) to determine requirements for agentic scenarios that replace manual network operations and reduce operational bottlenecks at scale.
• Contributes to the identification of dependencies (tools, APIs, data sources, and operational processes) and develops design documents for agent-driven workflows and services with little oversight, ensuring they can be deployed safely in production.
• Creates and implements code for production services and agent workflows, reusing code as applicable, to automate repetitive and routine DRI workloads and modernize execution paths that are currently manual/vendor-dependent.
• Breaks down larger agent scenarios into smaller deliverables (capabilities, workflow steps, tooling integrations) and provides estimation, enabling iterative shipping of new operational coverage over time.
• Acts as a Designated Responsible Individual (DRI) and participates in on-call to monitor services and agent-driven features for degradation or downtime, following playbooks and initiating mitigation actions to restore service health for supported scenarios.
• Improves reliability, observability, and operational efficiency by staying current with developments that strengthen monitoring and operations at scale—specifically to support the shift from human-only execution to agentic execution as network growth accelerates.
• Partners with cross-functional teams to drive adoption and execution quality, helping ensure the agent meaningfully reduces manual effort and scales operations sustainably as the network grows with AI workloads.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

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#, OR Java, JavaScript, or PythonOR 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:

• Bachelor's Degree in Computer ScienceOR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
• OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

#azurecorejobs

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.