Software Engineer, Content Engineering (AI Content Orchestration)

About the role

We are seeking a Backend Software Engineer to join our Content Engineering team. This team builds the "AI Editor” that automatically identifies and extracts, and processes high-impact clips from our massive library. You will be in charge of building and maintaining the backend services, workflows and agents that orchestrate this transformation—ensuring that every "gist" and "clip" is generated, tagged, and delivered with precision.

Responsibilities

• Feature Ownership: Design and implement backend orchestration solutions, focusing on high-quality API design and service reliability.
• Service Orchestration: Build and manage asynchronous workers, queues, and event-driven architectures that handle video processing tasks and complex workflows.
• API & Interface Development: Develop robust APIs that provide critical metadata and payloads to downstream discovery systems and video infrastructure.
• System Integration: Partner with core video teams to ensure seamless handoffs of video assets and processing signals.
• Production Excellence: Participate in code reviews and design discussions, applying good technical judgment to improve the scalability and observability of our services.
• ML in Production: Integrate ML models into production pipelines, focusing on low-latency inference and reliable data delivery.

Requirements

• 3+ years of experience in backend software engineering or distributed systems.
• Solid proficiency in Python (or similar backend languages) and experience building and scaling production APIs.
• Experience with asynchronous messaging, task queues, and background workers.
• Solid knowledge of SQL, database design, and data modeling for high-volume systems.
• Proven ability to own features autonomously from design to deployment delivering clean, maintainable code.

Qualifications

• Familiarity with Cloud Architecture (GCP preferred) and containerization (Docker/Kubernetes).
• Experience or solid interest in Video/Media Processing (e.g., video encoding, FFmpeg, or metadata standards).
• Basic knowledge of how to serve machine learning model outputs via APIs.
• Experience working with agentic AI workflows or complex microservice orchestration.

Benefits

• Hiring Salary Range: $110,400.00 - 165,600.00.
• Generous paid time off.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Pay

Hiring Salary Range: $110,400.00 - 165,600.00.

Schedule

Not specified.