Principal Python Developer
Key Responsibilities Backend Services & APIs • Design, implement, and maintain Python-based backend services and APIs (e.g., FastAPI or similar). • Build robust integrations with systems such as ServiceNow, Splunk, IPAM, DNS, routing/device lookup tools, and other internal platforms. • Ensure services are built with high reliability, concurrency, and performance in mind. Data Pipelines & Workflow Orchestration • Develop and maintain workflows using Prefect (or similar orchestration tools) for: • Document ingestion and preprocessing (e.g., manuals, internal docs). • Vectorization pipelines and blob storage management for retrieval. • Scheduled and event-driven workflows for ticket summarization, alarm correlation, compliance workflows, etc. • Implement automatic retries, logging, and observability for all workflows. Integrations & Tooling • Integrate with a wide range of operational tools (e.g., device lookup, route lookup, trace route, change record lookup). • Help transition existing “agentic tools” and internal scripts into MCP-based tools and standardized interfaces over time. • Work with internal tool owners (e.g., networking automation platforms) using APIs, HTML scraping, or direct DB access where needed. Quality, Reliability & Optimization • Write clean, well-structured, testable Python code. • Optimize for I/O, disk operations, and concurrency in a high-volume production environment. • Contribute to system design for redundancy, fault tolerance, and scalability.