Python Dev

Senior Backend Platform Engineer (Python + Infrastructure) Role Overview - We're looking for a backend engineer who takes pride in owning the full picture: the code that runs the service and the infrastructure that keeps it running. You're Python-first but you're not afraid of Terraform, and you understand that a well-designed Celery pipeline is just as important as a clean REST API. This role sits at the intersection of backend engineering and platform ownership across two production services that together power our enterprise AI assistant product. Key Responsibilities Develop and maintain Django/DRF services: REST endpoints, business logic, and data models for the document connector platform Design and operate Celery task queues that handle document ingestion, embedding generation, webhook delivery, and connection polling across six specialized queues Own the database migration lifecycle for both services: Django ORM migrations on the connector side and Prisma schema changes on the Next.js side, with zero-downtime rollouts Extend document ingestion pipelines that parse PDFs, Word files, spreadsheets, and web pages before chunking and embedding them into pgvector Provision and manage cloud infrastructure using Terraform across Azure (primary), AWS (AI model hosting), and Google Cloud (Vertex AI) Maintain and improve GitHub Actions workflows covering testing, Docker builds, database migrations, and blue-green deployments Manage Docker images and Azure Container Registry for both the Django app and Celery worker services Own monitoring and alerting via Sentry, Celery Flower, and Azure Monitor Keep secrets and networking secure through Azure Key Vault and private endpoint configuration 4+ years of backend engineering experience with Python in production Strong Django and Django REST Framework skills including data modeling and API design Real experience with Celery and async task queue architecture, not just the basics Comfortable with PostgreSQL at scale, including migrations, indexing, and pgvector Hands-on Terraform experience, you've written modules not just run plans Familiarity with Docker and container-based deployment workflows Experience with GitHub Actions or similar CI/CD platforms Senior Backend Platform Engineer (Python + Infrastructure) Role Overview - We're looking for a backend engineer who takes pride in owning the full picture: the code that runs the service and the infrastructure that keeps it running. You're Python-first but you're not afraid of Terraform, and you understand that a well-designed Celery pipeline is just as important as a clean REST API. This role sits at the intersection of backend engineering and platform ownership across two production services that together power our enterprise AI assistant product. Key Responsibilities Develop and maintain Django/DRF services: REST endpoints, business logic, and data models for the document connector platform Design and operate Celery task queues that handle document ingestion, embedding generation, webhook delivery, and connection polling across six specialized queues Own the database migration lifecycle for both services: Django ORM migrations on the connector side and Prisma schema changes on the Next.js side, with zero-downtime rollouts Extend document ingestion pipelines that parse PDFs, Word files, spreadsheets, and web pages before chunking and embedding them into pgvector Provision and manage cloud infrastructure using Terraform across Azure (primary), AWS (AI model hosting), and Google Cloud (Vertex AI) Maintain and improve GitHub Actions workflows covering testing, Docker builds, database migrations, and blue-green deployments Manage Docker images and Azure Container Registry for both the Django app and Celery worker services Own monitoring and alerting via Sentry, Celery Flower, and Azure Monitor Keep secrets and networking secure through Azure Key Vault and private endpoint configuration 4+ years of backend engineering experience with Python in production Strong Django and Django REST Framework skills including data modeling and API design Real experience with Celery and async task queue architecture, not just the basics Comfortable with PostgreSQL at scale, including migrations, indexing, and pgvector Hands-on Terraform experience, you've written modules not just run plans Familiarity with Docker and container-based deployment workflows Experience with GitHub Actions or similar CI/CD platforms

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