As a Senior Software Engineer, you will design, develop, and operate scalable software platforms and automation solutions for network qualification and engineering infrastructure. You will work across cloud services, network devices, testbeds, telemetry, and engineering workflows to automate qualification, validation, troubleshooting, and device lifecycle scenarios. You will also apply Artificial Intelligence (AI), Machine Learning (ML), and AI agent technologies to improve automation, data analysis, troubleshooting, and engineering productivity.

This opportunity will allow you to deepen your expertise in large-scale cloud networking and distributed systems, develop AI-powered engineering solutions, and drive end-to-end software architecture and automation that improve network quality and reliability.

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, develop, test, and operate scalable software and automation solutions for Azure network qualification and engineering infrastructure.
• Build services and tools that automate network device provisioning, configuration, software and firmware lifecycle management, test execution, telemetry collection, and health validation.
• Develop Artificial Intelligence (AI)-powered solutions and intelligent agents to improve test automation, troubleshooting, root-cause analysis, engineering decision-making, and productivity.
• Build data-driven solutions that use network telemetry, logs, test results, and operational signals to identify issues and generate actionable insights.
• Design reliable distributed systems with strong observability, failure handling, diagnostics, automated recovery, scalability, and maintainability.
• Partner with software engineers, network engineers, and cross-functional teams to translate complex and ambiguous networking requirements into scalable software solutions.
• Drive engineering quality through architecture and design reviews, code reviews, automated testing, monitoring, documentation, and continuous improvement.

• 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., * 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 Bachelor’s Degree in Computer Science or 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 equivalent experience.
• 1+ years software engineer + AI/agent experience + distributed/cloud systems + networking/automation knowledge
• 1+ years AI 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 $160,200 - $261,000 per year.

Azure Networking is building the intelligent automation and engineering infrastructure that enables Microsoft’s global cloud network to operate reliably at scale. Our team focuses on network qualification, test automation, lab and device infrastructure, and engineering systems that help validate new hardware, software, and networking capabilities before production deployment.