AI Infrastructure Engineer building scalable infrastructure for BlueCat's Horizon SaaS products on AI-driven cloud platform.
Responsibilities
Deploy and optimize the AgentCore Runtime on Amazon EKS.
Build the AgentCore Gateway using Go to mediate between agents and internal microservices.
Architect persistent state layers for agents to maintain context.
Engineer the connection between AgentCore and the Horizon Kubernetes platform.
Leverage the Model Context Protocol (MCP) for data integration.
Build secure interfaces in Go and Python for Horizon APIs.
Lead the implementation of Terraform or AWS CDK modules for the AgentCore stack.
Support the integration of Knowledge Graphs into the agent reasoning loop.
Requirements
Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred.
10+ years' experience in software engineering with around 5+ years commercial experience in cloud distributed systems and high scale designs with Golang and async Python,
Hands-on experience with AWS AgentCore (or similar Agentic AI platforms), Agent SDK (Strand, OpenAI, LangChain), protocols (MCP, A2A)
Proven ability to move agents beyond "chat" into autonomous "action" loops (MCP, A2A, RAG, KnowledgeBase)
Must have 2+ years hands-on proficiency in Kubernetes, kubernetes operators and containers
Experience with Helm charts, API gateways, ingress/egress gateways
Passion for building great REST APIs.
Passion for engineering rigor and operational excellence (design principles and patterns, unit testing, best practices for security and privacy, CI/CD etc).
Experience with CI/CD tools (GitLab) & automation
Strong experience with code tools like Terraform
Excellent written and verbal/presentation communication skills
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