About the Role

Software Engineer II role focused on building AI-native cloud applications and microservices using custom and foundation models. Responsibilities include architecting Agentic AI systems, applying AIOps for observability and auto-remediation, and integrating tools for LLM interaction. The position requires experience with distributed services, cloud platforms, and programming languages like Python or C#.

Key Responsibilities

• Build and ship scalable, AI-native cloud applications and microservices
• Architect Agentic AI systems with goal-driven behavior and multi-step reasoning
• Integrate MCP servers to expose internal tools and APIs to LLMs
• Apply AIOps for intelligent observability, anomaly detection, and auto-remediation
• Provide hands-on technical leadership including architecture, design, and code reviews

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 2+ years of experience with Distributed Services
• Ability to meet Microsoft, customer and/or government security screening requirements including Microsoft Cloud Background Check

Nice to Have:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience OR Bachelor's Degree AND 5+ years experience
• 2+ years of experience building scalable, efficient, and reliable cloud services
• Experience with systems design, architecture, and writing unit tests and integration/end to end tests
• Experience working with cloud computing platforms like Azure, AWS
• Experience in container ecosystems, including Kubernetes, Docker
• Understanding of code coverage, data structures, algorithms, multi-threaded, asynchronous programming patterns
• Proficiency in Agile software delivery utilizing GitHub Copilot/Agents and Azure DevOps Service
• Deep understanding of LLMs, Agentic AI frameworks (e.g Semantic Kernel), and orchestration patterns
• Familiarity with AIOps practices, including anomaly detection, observability, and auto-remediation strategies

Benefits & Perks

• Industry leading healthcare