Python Engineer

**Summary of Position:** We are looking for a **Senior Backend Python Engineer** with strong systems thinking and API integration experience to help design, build, and scale our AI\-driven network operations platform. You will focus on backend services, data pipelines, and integrations with upstream tools, ensuring reliability, performance, and correctness in a production environment. **Essential Functions:** **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  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**. **Collaboration \& Delivery** · Work within **2\-week sprints**, owning tickets from design to deployment and validation with customer teams. · Collaborate closely with: · Product Owners/Managers on requirements and scope. · AI Specialists on model usage, prompting, and agentic coding patterns. · NOC and network engineers to deeply understand domain workflows (e.g., shift handover, maintenance windows, alarm correlation). · Participate in code reviews and knowledge sharing across lanes. **Required Education and Experience:** Bachelor’s degree in computer science AI, Data Engineering, or related field. 5\+ years of experience as a DevOps, Data Engineering, or AI infrastructure **Strong Python expertise** · 5\+ years professional software engineering experience (or equivalent). · Demonstrated **“extreme competency” in Python**: data structures, async patterns, error handling, testing, packaging, etc. **Backend / Systems Engineering** · Experience building **backend APIs and services** (FastAPI, Flask, Django REST, or similar). · Experience with **databases**