Software Engineer

Azure Resource Graph (ARG), part of Azure Resource Manager and the Azure Control Plane, is the foundational inventory platform that organizes planet-scale cloud resource data and makes it queryable, scalable, and secure for every Azure customer.

ARG manages and exposes billions of cloud resources, services, and metadata that power core Azure experiences—such as the Azure Portal, Marketplace, Catalog, and Search. It provides a unified query interface over global Azure inventory and is used by internal Microsoft teams and external customers to govern, explore, and manage their environments at scale.

We process over 6.5 billion resources per day, and as Azure continues to grow, so does our mission to evolve ARG into a connected, intelligent platform—supporting large-scale relationships, telemetry, and AI-assisted insights.

We are seeking a Software Engineer with strong fundamentals, a passion for learning, and an interest in applying technology (including AI) to core systems. This role offers the opportunity to grow engineering skills alongside experienced mentors while contributing to critical, high-scale infrastructure that directly impacts Azure customers.

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

• Collaborates with senior engineers to execute platform initiatives that help ARG scale to the growing demands of Azure.
• Implements features across services such as ingestion pipelines, query engines, and resource graph APIs, under mentorship and through code/design reviews.
• Contributes to the development of scalable, secure, and performant cloud infrastructure by applying distributed systems and cloud-native engineering practices.
• Participates in design reviews and applies foundational computer science principles to clarify technical decisions.
• Explores opportunities to apply AI-driven solutions such as anomaly detection, auto-tagging, or natural language querying in collaboration with AI-focused teams.
• Demonstrates curiosity toward AI/ML tooling (e.g., Azure OpenAI, vector search, embeddings) and eagerness to learn how intelligent services can extend core platforms like ARG.
• Builds product knowledge and understanding of Azure environments through pair programming, prototyping, and code walkthroughs.
• Embraces agile development practices and contributes positively to team culture and growth.
  
  

Qualifications

Required Qualifications:

• Bachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline,
• OR equivalent experience.
• Proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Experience operating or supporting services in a large-scale cloud environment including, but not limited to, Azure, AWS, or GCP.
• Experience contributing to the design and implementation of a software feature or service in an academic, internship, or professional setting.
• Experience implementing components of a distributed system (e.g., microservices, cloud-based architecture).
  

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 Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Interest in AI/ML technologies and motivation to explore how intelligent features can augment cloud infrastructure.
• Exposure to AI platforms such as Azure AI or OpenAI.
  

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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

Microsoft will accept applications for the role until July 21, 2025.

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.