Senior Backend Engineer

Chubb

4h

About The Position

Chubb is the world's largest publicly traded property and casualty insurer. With
operations in 54 countries and territories, Chubb provides commercial and
personal property and casualty insurance, personal accident and supplemental
health insurance, reinsurance, and life insurance to a diverse group of clients.
The company is defined by its extensive product and service offerings, broad
distribution capabilities, exceptional financial strength, underwriting
excellence, superior claims handling expertise, and local operations globally.

Chubb's AI Platform team is building an enterprise AI platform powering
RAG-based search, document intelligence, and AI-assisted workflows for thousands
of users across the global organization. The backend spans three production
services: a TypeScript NestJS middleware layer handling authentication, data
access, and business logic; a Python FastAPI RAG orchestration service
integrating Azure AI Search and Azure OpenAI; and a Python FastAPI document
processing pipeline parsing, chunking, and embedding enterprise documents at
scale.

The Senior Backend Engineer, AI Platform
owns the backend surface. You are the
primary engineer on the NestJS middleware layer and a meaningful contributor to
the Python services. You ship production-grade code sprint over sprint, operate
within the Crucible SDLC framework, and hold the quality bar without needing to
be reminded. This role is hands-on by design — senior here means depth of craft
and proximity to delivery, not distance from it.

Responsibilities

• Design and implement feature modules end-to-end: DTOs, controllers, services, and providers following established module patterns across domain areas including authentication, user management, AI integration, file handling, and conversation threading
• Enforce JWT authentication guards, integrate Azure Cosmos DB using parameterized queries (never interpolated), and instrument all contributions with OpenTelemetry distributed tracing
• Author and maintain Swagger/OpenAPI documentation for every new and modified endpoint — API contracts are first-class deliverables
• Apply structured OgmaLogger logging consistently across all contributions; structured observability is a non-negotiable part of every feature
• Write unit tests and e2e tests as part of delivery — mock Cosmos DB and external dependencies, maintain meaningful coverage without being directed to do so
• Contribute production-ready route handlers, Pydantic models, and async service logic to the RAG orchestration service and the doc-parser-api document processing pipeline
• Implement and extend Azure AI Search integrations, embedding pipelines, and document ingestion workflows — batch embedding operations, OCR fallback paths, and multi-format document processors
• Execute quality gates on all Python contributions: ruff linting, mypy static type checking, pytest with a minimum 80% coverage threshold, and bandit security scanning
• Participate in code reviews across all repositories; provide substantive, reasoned technical feedback and uphold Conventional Commits and Semantic Versioning standards
• Leverage agentic coding tools — Claude Code, GitHub Copilot, and their successors — as daily productivity multipliers within a disciplined engineering workflow
• Collaborate with AI/ML engineers, frontend engineers, and product managers to translate complex AI capabilities into reliable, observable, production-ready backend services
• Contribute to backend architectural decisions: module design, API contract conventions, Azure service integration patterns, CI/CD pipeline configuration, and cross-service dependency management

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed