About the Role

Senior Software Engineer role focused on designing and delivering scalable, AI-native cloud applications and microservices using foundation models and autonomous agents. The position involves applying AIOps for intelligent observability, anomaly detection, and auto-remediation across distributed systems, while mentoring engineers in AI-first development.

Key Responsibilities

• Build and ship scalable, AI-native cloud applications and microservices using foundation models, RAG, and autonomous agents
• Architect Agentic AI systems with goal-driven behavior, multi-step reasoning, and tool-use capabilities
• Apply AIOps for intelligent observability, anomaly detection, and auto-remediation across distributed systems
• Integrate MCP servers to expose internal tools and APIs to LLMs via JSON-RPC
• Provide hands-on technical leadership including architecture, design, code reviews, and live site support

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 4+ years of experience building scalable, efficient, and reliable cloud services
• 4+ years experience with systems design, architecture, and writing unit tests and integration/end to end tests
• Ability to pass Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Nice to Have:

• Experience with utilizing Large Language Models and Prompt Engineering
• Experience building AI agents
• Experience working with cloud computing platforms like Azure, AWS
• Experience in container ecosystems including Kubernetes, docker, service mesh
• Proficiency in Agile software delivery utilizing GitHub and/or Azure DevOps Service

Benefits & Perks

• Industry leading healthcare