Principal Software Engineer, Integration and Automation - AI Infrastructure
Core
Design, build, and operate end-to-end AI infrastructure systems including automation, CI/CD orchestration, and code intelligence platforms to improve engineering workflow quality and reliability.
Role type
Principal Software Engineer (AI Infrastructure & Automation)
Builds
AI workflow automation, CI/CD orchestration, build and validation services, developer tooling, and code intelligence platforms.
Domain
Artificial Intelligence, DevOps, Cloud-Native Infrastructure
Deliverable
production ML models | infrastructure | product features
Required skills
Distributed systems design, CI/CD platform architecture, workflow orchestration, Kubernetes, gRPC, TypeScript, React, Python, C++, Java, JavaScript, C#, Vector/Graph/Relational database management, Infrastructure as Code, System design, Technical leadership, Mentoring
Preferred skills
MCP (Model Context Protocol), Agentic workflows, RAG pipelines, Embedding pipelines, Static analysis, Code search, Release automation, Policy gates, Developer self-service platforms
Technologies
Kubernetes, gRPC, FastAPI, TypeScript, React, Qdrant, FAISS, Neo4j, PostgreSQL, MCP
Responsibilities
Lead architecture and design for AI automation and CI/CD systems; Build evaluation and validation systems for AI-assisted changes; Define SLOs, alerts, and incident practices; Mentor engineers and drive technical standards; Integrate capabilities via MCP and APIs; Operate reliable production services with on-call ownership.
Seniority
Principal, hands-on IC with strategic influence