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Full Stack Python Developer

  • Source: LinkedIn
  • Spire Systems
  • On-site
  • San Francisco
  • Mid level

Job Description

Information Systems (IS) team builds the workflow-driven applications that power production across film, TV, games, and digital content.

This is a full-stack Python role on a small, senior, high-trust engineering team supporting everyone from on-set crew who need secure access to scripts, to full-time digital asset managers running complex tools all day.

The team is actively expanding its core digital asset management systems to support new user groups.

  • Design, build, and maintain full-stack web applications used across client’s production pipeline
  • Work across the stack: Python/Flask backend services, Vue front-end, SQLAlchemy/Postgres data layer
  • Build and maintain asynchronous task pipelines using Celery and Redis
  • Support search and indexing needs using Solr
  • Work with large-scale media transfer and file management via Aspera
  • Deploy and manage services using Docker and AWS Lambda
  • Handle time-based media workflows: transcoding, colorspace management, playback optimization
  • Balance long-term legacy systems (Python has been core here for 30 years) with modern development practices
  • Follow the team’s “Scout Rule “ ethos leave code cleaner than you found it

Requirements

  • 8 -10+ years of professional software development experience, with a strong, demonstrable Python background
  • Hands-on expertise with some combination of: Vue, Flask, SQLAlchemy, Postgres, Redis, Solr, Celery, Docker
  • Experience with cloud services (AWS/Lambda) and containerization
  • Experience with time-based media (video/audio) technical workflows is a strong plus
  • Comfortable working in a small, informal, non-hierarchical team where managers support rather than direct day-to-day work
  • Strong communication skills and a customer-first mindset supporting both highly technical and non-technical users

Skills

  • Python
  • Flask
  • sqlalchemy
  • PostgreSQL
  • Celery
  • Redis
  • solr
  • Docker
  • amazon-web-services
  • aws-lambda
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