Description
Position: Senior Python Developer
Location: Remote
Duration: 12 Months Contract
Expertise in: Python / React / AWS
W2 Contract
Job Description:
Build the platform that administers annuity and insurance policies, from case intake through enrollment and ongoing servicing.
Work across a Python backend and a TypeScript/React frontend, with strong AWS, CI/CD, DevOps, testing, and production ownership.
What you will DO-
Design and build backend APIs/services in Python, preferably FastAPI or Flask.
• Build user-facing features in TypeScript, React, and modern frontend patterns.
• Design and evolve relational database schemas, SQL queries, migrations, validation rules, and data integrity controls.
• Write unit, integration, API, regression, and E2E tests as standard engineering practice.
• Join spec review before implementation starts; clarify ambiguity, risks, assumptions, and edge cases before build.
• Submit and review PRs; explain technical decisions clearly in writing and in client-facing reviews or demos.
• Use AI-assisted development tools responsibly for scaffolding, refactoring, tests, debugging, documentation, and code review.
REQUIRED QUALIFICATIONS
Professional Python backend/API experience and strong React plus TypeScript or strong JavaScript experience.
• Solid relational database and SQL skills, including schema design, migrations, query performance, indexes, and data validation.
• Automated testing and CI/CD experience, with Git and pull-request code review workflow.
• Hands-on AWS experience, including Lambda, API Gateway, RDS/Aurora, S3, IAM, CloudWatch, environment configuration, and deployment patterns.
• DevOps experience across build, test, scan, package, deploy, validate, monitor, and rollback processes.
• Infrastructure-as-Code exposure using Terraform, AWS CDK, CloudFormation, or equivalent.
• Strong written and verbal communication; able to articulate technical choices, assumptions, blockers, risks, and release impacts clearly.
AI-NATIVE DELIVERY
Uses enterprise-approved AI tools, validates generated code, and can explain what was accepted, rejected, and why.
• Experience developing or integrating AI-enabled capabilities using LLM APIs, RAG, structured outputs, tool/function calling, or agentic workflows is strongly preferred.
• Understands grounding, evaluation, hallucination risk, guardrails, prompt/version management, security, and human validation.
SECURITY & PRODUCTION DISCIPLINE
Secure API design, authentication, authorization, RBAC, least privilege, OAuth/OIDC/JWT, and secrets management.
• PII handling, encryption in transit/at rest, audit logging, OWASP awareness, dependency scanning, and vulnerability remediation.
• Observability across logs, metrics, tracing, dashboards, alerts, incident diagnosis, and production readiness and operational handoff.
• Comfortable operating in regulated workflows where auditability, traceability, quality, and data accuracy matter.
PREFERRED EXPERIENCE
GraphQL, Docker, Kubernetes or ECS, event-driven architecture, workflow engines, reporting, observability platforms, and regulated-industry delivery.Insurance, annuity, enrollment, policy administration, advisor workflows, or policy servicing platforms.Prior direct client delivery experience with U.S.-based stakeholders and meaningful Eastern Time overlap.
