Senior Backend Python Engineer

Benefits U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law. Summary Of Position Senior Backend Python Engineer with strong systems thinking and API integration experience will design, build, and scale AI-driven network operations platform. 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 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. 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. Competencies Ensures Accountability Tech Savvy Communicates Effectively Values Differences Customer Focus Resourcefulness Drives Results Plans and Prioritizes Decision Quality Self-Development Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee in this position frequently communicates with other co-workers/clients who have inquiries about the various projects and other needs. Must be able to exchange accurate information in these situations. The employee must be able to remain in a stationary position 75% of the time. The employee in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operate a computer and office machinery such as a calculator, keyboard, copy machine and printer. Frequently moves boxes with equipment weighing up to 25lbs across the building and/or to other offsite buildings for various project needs. 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 Qualifications Strong Python expertise