JOBSEARCHER

Python Developer

ARCHIVED

We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.

Job Title: Backend Developer (Python / FastAPI)Client: Client: State of Texas – Department of TransportationWork Arrangement: Hybrid (3 days per week Onsite)Work Location: Austin, TXInterview Type: Webcam OnlyShort 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.