Python Developer - Onsite - W2 only

Position: Python Developer

Location: Plano, TX; San Antonio, TX or Phoenix, AZ (Onsite)

Duration: 12 Month Contract – Can Be Extended

Role Overview

We are seeking a Sr. Software Engineer to build, operate, and scale Python APIs and backend services that integrate AI capabilities. This role focuses on productionizing integrations, orchestrations, and data flows for internal and external applications. The ideal candidate will be a self-starter who can navigate the organization effectively and contribute to a sustainable team environment.

Key Responsibilities

• Design, implement, and document FastAPI services and SDKs for AI features.
• Integrate third-party AI providers like Google Gemini, Bedrock, and OpenAI using secure and observable patterns.
• Build and maintain event-driven and synchronous backends, including REST APIs, webhooks, and queues, with robust error handling.
• Optimize for latency, throughput, and cost by implementing caching, rate limiting, and resiliency patterns like retries and circuit breakers.
• Ship high-quality, tested code through CI/CD pipelines.
• Instrument services with structured logs, metrics, and traces to ensure production readiness.
• Collaborate with product, data, and machine learning teams to translate requirements into technical specifications.
• Uphold security, privacy, and compliance standards, including secrets management, OAuth/OIDC, and PII handling.

Required Qualifications

Experience: 8 years of professional software engineering experience is required for this senior-level role.

Technical Skills:

• Strong proficiency in Python 3.x.
• Production experience with FastAPI, delivering secure and versioned APIs.
• Cloud experience on Google Cloud Platform (e.g., Cloud Run, GKE, Pub/Sub) or AWS (e.g., Lambda, EKS, API Gateway, SQS).
• Experience with relational datastores (Postgres/MySQL) and caching stores (Redis/ElastiCache/Memorystore), including schema design and migrations.
• Familiarity with CI/CD (GitHub Actions/Cloud Build), containerization (Docker), and Infrastructure as Code (Terraform is helpful).
• A strong understanding of testing methodologies (unit, integration, contract), API specifications (OpenAPI), and observability principles.
• Familiarity with Agentic AI.

Preferred Qualifications

• Experience integrating AI services such as Vertex AI/Gemini, AWS Bedrock, or OpenAI.
• Intermediate data engineering skills with Python and SQL.
• Knowledge of security protocols like OAuth/OIDC, JWT, and service-to-service authentication.
• Familiarity with data pipeline basics and schema evolution practices.
• Experience with LangGraph is a plus.
• Front-end development experience with React is a plus.