Lead Software Engineer
Core
Own the enterprise connector catalog, integration standards, and security gates for MCP servers while building authentication, monitoring, and lifecycle tooling for SaaS, databases, and data pipelines.
Role type
Lead Software Engineer (AI Infrastructure & Integration)
Builds
MCP servers, AI Artifact Hub, knowledge ingestion pipelines, agents, skills, automation workflows, and access control policies.
Domain
Cloud Infrastructure, AI/ML Systems, Enterprise Integration
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AWS services (Lambda, S3, IAM, API Gateway, CloudWatch, Step Functions), OAuth 2.0, OIDC, Infrastructure as Code (Terraform), CI/CD (GitHub Actions), Distributed Systems, Authorization Policies
Preferred skills
AI/ML systems, RAG, knowledge retrieval, agent architectures, Amazon Bedrock, MCP, Snowflake, knowledge graphs, embeddings, vector stores, FinOps, DLP, event-driven architectures, workflow engines
Responsibilities
Own enterprise connector catalog and integration standards; Build authentication, monitoring, and lifecycle tooling; Implement access controls and DLP enforcement; Build reliability, observability, and evaluation frameworks; Mentor junior engineers and guide technical decisions.
Seniority
Senior, hands-on IC with leadership responsibilities
