Senior Software Engineer

We are looking for a Senior Software Engineer to join a Long-term Contract opportunity supporting digital supply chain initiatives in Burbank, California. In this role, you will create scalable backend solutions and intelligent workflow services that combine rules-based automation with AI-enabled decision support. The position centers on building cloud-native, event-driven applications that improve media operations while enabling human oversight where needed.

Responsibilities:
• Design and develop backend services that power intelligent media workflow applications across distributed cloud environments.
• Implement automation patterns that blend structured orchestration with adaptive logic using AI, machine learning, or decision-support technologies.
• Integrate tools such as language models, semantic search capabilities, and decision engines into production-ready workflow solutions.
• Build resilient event-driven components using asynchronous messaging frameworks to support loosely coupled and scalable systems.
• Create modular microservices and APIs in Java, Python, or Node.js with strong attention to testability, maintainability, and performance.
• Contribute to platform reliability by improving observability, operational consistency, and scalability across shared services.
• Partner with product, engineering, and machine learning teams to convert technical requirements into working software solutions.
• Participate in Agile delivery practices, including planning sessions, daily collaboration, and milestone reviews.
• Support containerized deployment pipelines and cloud-native delivery practices using modern CI/CD approaches.

Qualifications:

• Bachelor’s or master’s degree in Computer Science, Software Engineering, or a closely related discipline.
• At least 7 years of experience building backend systems for distributed, cloud-native applications.
• Strong knowledge of event-driven architecture and experience working with modern cloud services.
• Proficiency in Java or Node.js, with the ability to deliver clean and dependable service-based code.
• Hands-on experience with Docker, Kubernetes, and continuous integration and delivery workflows.
• Ability to communicate effectively with cross-functional stakeholders and contribute to high-quality engineering outcomes.
• Familiarity with AI/ML integration, including large language models, decision engines, or production model pipelines.
• Exposure to media, entertainment, studio, or post-production environments is preferred.

Compensation

$80.00-$90.00 Hourly

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