Lead) Software Engineer

Staff (Lead) Software Engineer

Hybrid 4 Days a Week On-Site in Burbank, CA

Our client seeks a Staff (Lead) Software Engineer to build the next generation of intelligent infrastructure for the Studio Digital Supply Chain. The role blends backend engineering, workflow, and AI to design and deliver agentic platforms that support mastering, localization, and delivery. This hands-on role requires strong execution, adaptability, and comfort working at the pace of evolving AI technologies.

Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $83.00 to $93.00/hr w2

Responsibilities:

• Translate AI prototypes into production-ready microservices in Java, Kotlin, Python, or Type Script using Kubernetes and CI/CD.
• Implement event-driven services with Kafka, SNS/SQS, or Event Bridge for loosely coupled, fault-tolerant communication.
• Build and maintain reliable, observable APIs with clear contracts and long-term maintainability.
• Lead technical planning, system design, and delivery reviews across engineering and product.
• Partner with platform teams, product managers, and ML engineers to deliver business-ready AI capabilities.
• Mentor team members and track trends in LLM tooling, orchestration, and agent frameworks.
• Design and build API gateways, wrappers, and middleware that expose studio systems and data to AI agents.
• Manage secure access to tools, metadata, and content systems through model context protocol (MCP).
• Standardize agent interfaces with internal services across the supply chain.
• Deploy agentic platforms such as Lang Graph or Lang Chain to manage tool execution, context routing, and decision logic.
• Implement tracing, audit logging, and governance checkpoints including human approval and fallback paths.
• Integrate orchestration into media workflows including mastering, localization, and delivery.

Experience Requirements:

• 8+ years in backend or systems engineering with 3+ years building AI-powered or workflow-centric platforms.
• Deep proficiency in Java or Kotlin, testing practices, observability, and operating systems at scale.
• Production experience with AWS and container orchestration using Docker and Kubernetes.
• Hands-on experience with infrastructure as code such as Terraform or CDK.
• Experience building or integrating workflow engines, ideally in LLM or GenAI contexts.
• Clear, structured communication and a track record of technical leadership in cross-functional teams.
• Preferred:
  Experience with Lang Graph, Lang Chain, OpenAI, or Anthropic.
• Preferred:
  Background in media, entertainment, or content operations, including localization or post-production workflows.
• Preferred:
  Experience with the Spring ecosystem and multi-tenant or shared platform services.
• Preferred:
  Exposure to Agile delivery practices and Dev Ops automation at scale.
• Preferred:
  Contributions to GenAI open-source projects or internal AI/ML infrastructure tooling.

Education Requirements:

Bachelor's or master's degree in Computer Science, Software Engineering, or related field.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and…