Senior Platform Engineer
Core
Designing and implementing a centralized Enterprise AI Integration Platform that serves as a governed infrastructure layer for connecting AI agents to enterprise data sources.
Role type
Senior Platform Engineer (Infrastructure & AI Integration)
Builds
Central AI Gateway server, on-demand connector provisioning engine, identity-driven session layer, and observability stack.
Domain
Enterprise Infrastructure Engineering / AI Agent Integration / Cloud Platforms
Deliverable
production ML models | infrastructure
Required skills
Python (async/await, FastAPI), Model Context Protocol (MCP), AWS (ECS Fargate, ElastiCache, Secrets Manager, Aurora), Microsoft Entra ID integration, Distributed systems patterns, Container platform (Docker, ECS), REST API security, Observability (Prometheus, OpenSearch, Grafana), CI/CD (GitHub Actions), Database integration (Oracle, PostgreSQL, Snowflake)
Preferred skills
High-concurrency MCP server development, Snowflake advanced optimization, Infrastructure-as-code (Terraform), On-demand infrastructure provisioning, Redis advanced patterns, Enterprise compliance, AI/LLM platforms experience, DevOps experience
Technologies
FastAPI, uvicorn, Redis, ElastiCache, Microsoft Entra ID, AWS Secrets Manager, Oracle DB, SharePoint Graph API, Rally, ServiceNow, Aurora, Snowflake, Prometheus, Kinesis Firehose, OpenSearch, Grafana, GitHub Actions, Docker, ECS, Terraform
Responsibilities
Design and optimize the central AI Gateway MCP server; Build and maintain the Redis session layer for identity and rate limiting; Implement the on-demand connector provisioning engine; Build enterprise system connectors as MCP tool sets; Implement comprehensive automated testing; Build and maintain the full observability stack; Design and implement CI/CD pipelines; Own security controls including token validation and PII masking; Maintain and extend the existing Snowflake MCP codebase; Develop troubleshooting tools and operational documentation
Seniority
Senior, hands-on IC
