Architect, develop, and test production grade Python APIs for media products.
Support data pipelines, background jobs, and distributed systems that interact with AI models.
Work with technical stakeholders to design scalable systems for easy development, deployment, and monitoring of systems.
Create implementation plans teams can work against to achieve product goals.
Design and robust systems for long running processes.
Ensure errors are routed for proper triaging.
Design/maintain high quality automated tests and manual stress/quality testing frameworks for AI systems.
Consider data governance and cyber security practices. Ensuring fairness, transparency, and compliance with regulations.

Bachelor's degree in computer science, engineering, or related field.
2-4 years experience designing, maintaining, and testing enterprise grade RestAPIs.
Expert Python skills, deep experience with concurrent systems (asyncio, tornado, celery etc).
Demonstrated production experience complex long running processes that present and collect data.
Experience with workflow orchestration tools (e.g., Prefect, Airflow, Dagster).
Experience with data persistence. Redis, Postgres, NoSQL, MongoDB, etc.
Demonstrated production experience with monitoring enterprise systems.
Ability to architect systems that are maintainable and extendable.
Balancing over engineering while preparing for future requests.
Familiarity with LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.)
Proficiency with version tracking.
Knowledge of containerization, DevOps tools, and CI/CD pipelines.

Backend Software Engineer

Key skills