Lead Software Engineer

Quick Facts

• Role: Lead Software Engineer (Staff/Lead)

• Focus: AI-powered backend, agentic platforms, and workflow systems for Studio Digital Supply Chain

• Schedule/Location: Hybrid (4 days onsite per week), Burbank, CA

• Duration: 12-month contract with potential conversion to full-time

Description

Build next-generation intelligent infrastructure for the Studio Digital Supply Chain by translating AI prototypes into production-ready microservices and agentic platforms. You will design event-driven services, reliable APIs, and AI middleware that enable workflows such as mastering, localization, and delivery. This is a hands-on senior technical leadership role requiring strong execution and adaptability to evolving AI technologies.

Responsibilities

• Productize and optimize AI services by deploying production-ready microservices using Java/Kotlin/Python/TypeScript with Kubernetes and CI/CD

• Implement event-driven, loosely coupled communication using Kafka and AWS messaging/event services

• Build and maintain APIs with clear contracts, reliability, observability, and maintainability

• Lead system design, technical planning, and delivery reviews; collaborate with platform, product, and ML teams

• Mentor engineers and stay current on LLM tooling, orchestration, and agent frameworks

• Design AI middleware (API gateways, wrappers, middleware services) to expose studio systems and data to AI agents

• Manage secure access to tools, metadata, and content systems using Model Context Protocol (MCP)

• Standardize agent interfaces across the supply chain

• Deploy agentic workflow platforms (e.g., LangGraph/LangChain) for tool execution, context routing, and decision logic

• Implement tracing, audit logging, governance checkpoints (human approval and fallback paths)

• Integrate orchestration into media workflows including mastering, localization, and delivery

Requirements

• Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field

• 8+ years of backend or systems engineering experience, including 3+ years building AI-powered or workflow-centric platforms

• Deep proficiency in Java or Kotlin with strong testing, observability, and large-scale systems knowledge

• Clear, structured communication and demonstrated technical leadership across cross-functional teams

• Production cloud experience (AWS) plus container orchestration with Docker and Kubernetes

• Hands-on infrastructure-as-code deployment experience (Terraform, CDK, or similar)

• Experience building or integrating workflow engines, ideally in LLM/GenAI contexts

Benefits

• 12-month contract with potential for full-time conversion