DreamWorks Technology - Senior AI Software Engineer

About the role

DreamWorks 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. DreamWorks 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. DreamWorks Animation’s Studio Platform Engineering team builds the systems and infrastructure that enable our artists and technology teams to operate at scale. We 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. This position is fully remote, with the expectation to work from a non‑DreamWorks worksite (typically an employee’s residence). External candidates may be required to attend an in‑person interview with an NBCUniversal employee prior to a hiring decision.

Responsibilities

• 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

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 8+ years of experience in Software, DevOps or Platform Engineering, with 1+ years building AI systems for real workflows
• Hands‑on experience in cloud‑native technologies and architectures (Docker, Kubernetes)
• Proven experience developing and deploying AI agents, tool‑calling systems, and multi‑agent systems
• Prof