DreamWorks Technology - Senior AI Software Engineer

Dream Works Animation is looking for more adventurous dreamers who shoot for the moon. We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world's leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds.

Dream Works creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together.

Dream Works Animation’s Studio Platform Engineering team builds the systems and infrastructure that enable our artists and technology teams to operate  own the Feature Animation platform, streamline software delivery through modern CI/CD practices, and lead the Studio’s observability ecosystem. You’ll play a key role in designing and evolving the next generation of resilient, cloud-native, AI-enabled platforms that drive innovation across the Studio.

We are seeking a Senior AI Software Engineer with a strong background in Dev Ops, Kubernetes infrastructure, and Python development to build, scale, and secure our AI infrastructure used for data workflows and management. In this role, you will bridge the gap between traditional infrastructure operations and advanced AI engineering. Instead of just consuming AI models, you will engineer the enterprise-grade ecosystem that hosts, monitors, scales, and protects our next generation of resilient, cloud-native, AI-enabled platforms that drive innovation across the Studioin an 'Artists First' methodology.

If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork!

“What would you say you do here?”

• Collaborate across technology and production teams including principal engineers to shape the best practices of Platform as a Service implementation hosting stateless applications and AI infrastructure
• Influence and contribute to the Agentic Engineering and MCP Server Development efforts
• Major contributor to the development and adoption of governance, security, and observability best practices for AI and agentic systems, helping establish standards for secure, reliable, responsible, and observable AI agent development and operations
• Leverage Kubernetes orchestration and operators to automate stateless application deployments and administration across multiple environments (on-premises and in the cloud)
• Leverage Enterprise grade Kubernetes software stack solution for developing, deploying, and running AI workloads on a Kubernetes platform across development and production environments
• Identify areas for process and efficiency improvement within Platform Services; recommend solutions and assist in overseeing implementation. Actively facilitate continuous improvement.
• Monitor and maintain platform infrastructure, utilizing tools like Datadog for performance tracking, alerts, and capacity management
• Participate in continuous organizational cyber security vulnerability mitigation and compliance efforts
• Define and document standard run books and operating procedures. Create and maintain system information and architecture diagrams
• Develop and maintain microservices, tools and automation
• Provide software troubleshooting and break-fix support for production

“What do I need to have in order…