Job Description

The Security AI Platform team builds and operates production infrastructure that powers AI-native security capabilities at Microsoft scale. The Platform + Apps group develops the core product, including microservices, ML inference pipelines, APIs, and user interfaces. We work closely with the AI Operations team who handles deployments, pipelines, and production reliability.

We are seeking an AI Engineer II - Backend to implement features across our backend services. In this role, you will build microservice components, API endpoints, and data pipelines within established architectures. You will work with senior engineers who will guide your technical growth while you take ownership of features within the platform.

Responsibilities

• Implement backend microservices and API endpoints using C#/.NET and Python within established architectures, deployed on Azure Kubernetes Service (AKS)
• Build features across ML inference pipelines: integrate with rule engines, LLM serving platforms, and various model runtime services
• Implement data pipelines and storage integrations: Event Hub connectors, Kusto queries, Redis caching layers, and configuration management
• Add observability to services: OpenTelemetry instrumentation, logging, metrics collection, and health check endpoints
• Optimize service performance: implement caching strategies, batching, and response streaming under guidance from senior engineers
• Write comprehensive automated tests: unit tests, integration tests, and API contract tests
• Participate in design discussions and code reviews; learn architectural patterns and best practices from senior engineers
• Document APIs, service behaviors, and operational procedures
• Deploy and debug services in development environments; coordinate with AI Operations for production deployments
• Fix bugs and address issues; participate in incident triage with guidance from senior engineers
• Collaborate with frontend engineers to understand API requirements and deliver endpoints they need

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 2+ years software engineering experience building backend services
• 2+ years proficiency in C#/.NET or similar languages with solid API design practices
• 1+ years hands-on experience with ML/AI systems (coursework, projects, or production)
• Experience building on Azure: AKS, Event Hub, Cosmos DB, Redis, Key Vault, Managed Identity
• Exposure to ML inference technologies: model serving frameworks, inference runtimes, or ML pipelines
• Distributed systems fundamentals: concurrency, messaging patterns, caching, and basic performance optimization
• Experience with gRPC and Protocol Buffers in addition to REST APIs
• CI/CD and containerization experience: Docker, Kubernetes basics, Azure DevOps or GitHub Actions
• Observability experience: logging, metrics, tracing, and basic debugging in distributed systems
• Security domain exposure: threat detection concepts, attack patterns, or security tooling
• Track record shipping backend features used by other teams or customers

#MSFT Security #SentinelPlatform #MSECAI #MSECAINEXT

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

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.