Python Developer

Infostride — United States · Posted ~1 day ago

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Description

Job Title: Backend Developer (Python / FastAPI) Client: Client: State of Texas – Department of Transportation Work Arrangement: Hybrid (3 days per week Onsite) Work Location: Austin, TX Interview Type: Webcam Only Short Description: The Backend Developer will design, build, and maintain the core services of the document-generation engine — the recipe orchestrator, the merged/generated/static page workers, the aggregation and assembly service, and the REST API — extending the existing DocuWeaver core. Two senior developers are recommended to cover the routine story volume in parallel with the Extra-Large, critical-path architecture items. This is a fully dedicated, onsite role based at TxDOT HQ – Stassney, Austin, TX. Key Responsibilities • Implement the recipe orchestrator that parses document recipes and dispatches parallel page-processing events. • Build the three page sub-routines — merged (template hydration), generated (external service calls with retry/backoff), and static (file-store retrieval). • Implement the aggregation and assembly service that tracks completion per request_id and triggers final PDF assembly. • Expose and document the POST /api/generate endpoint and delivery interfaces (webhooks/SMTP) with strict input validation. • Implement structured audit logging (Trace ID per request) meeting ISS-01-801 auditing requirements (AU-02 through AU-12). • Participate in mandatory peer review and CI/CD, maintaining >80% automated test coverage. Required Qualifications • 5+ years of backend software development experience. • Experience developing or maintaining backend document-generation services. • Preferred: Python REST APIs with FastAPI (async/await); template-driven PDF generation using Jinja2, ReportLab, python-docx-template, WeasyPrint, PyPDF2, and LibreOffice/docx2pdf. • Preferred: integration with enterprise data and storage systems — PostgreSQL and object/blob storage (AWS S3 / Azure Blob). • Preferred: async/event-driven design with AWS SQS/SNS and Celery or FastStream; Pydantic V2; structured logging. • Preferred: disciplined engineering with Ruff, Black, mypy (strict), Bandit, and Pytest.