The Azure Resource Graph (ARG) team is looking to expand its platform vision beyond search and governance to incorporate LLM-driven intelligence, agentic workflows, and advanced data platforms to transform how customers interact with and manage Azure, thereby shortening the cycle and increasing Azure adoption.
Requirements
- 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C, Java or Python
- 5+ years of experience in architecting large scale distributed systems.
- 5+ years operational experience in running a service in one of the large-scale clouds like Microsoft Azure (Azure), or similar.
- 2+ years of experience problem-solving skills in the space of AI, large datasets, Spark, Ray or other computing technologies.
- 5+ years of hands-on working knowledge of building true cloud-scale services.
- 2+ years of exposure to the internals of databases, stores
- 4+ years of exposure to the internals of Spark, Kubernetes, GraphX, Pandas, Structured Streaming etc.
Responsibilities
- Define and lead the strategy for ARG’s evolution into big data and LLM/agentic services.
- Design scalable architectures for distributed systems that integrate machine learning and intelligent agents.
- Partner across Azure to build platform capabilities that accelerate AI adoption and unlock new customer experiences.
- Guide engineering teams in building high-performance, future-ready services with immediate customer and business impact.
- Build distributed micro-services in the area of proprietary columnar databases, replication, batching, agentic, indexing, change tracking, insights, and in defining graph models.
- Focus on end-to-end services, development, and deployment.
Other
- 5+ years experience providing technical leadership, raising the technical bar, maintaining data and results-driven culture while closely working with cross function teams, for the same connected mission.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Achieving quality results with laser customer focus.
