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.
We are seeking a Senior AI Software Engineer with a strong background in DevOps, 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 Studio in 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 to do this job?"
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
Proficiency in revision control and DevOps best practices (Git)
Expert Linux experience (Red Hat, CentOS) and proficient with one or more Unix shell scripting languages (Bash, C-Shell)
Proficient in either Python, Java, or JavaScript development
Operational support experience, including platform infrastructure monitoring and troubleshooting using tools like Datadog, Prometheus, or similar
"What can I offer?"
Strong, hands-on experience managing and troubleshooting production workloads running on Kubernetes
Hands-on experience developing or deploying custom application servers, Retrieval-Augmented Generation (RAG) models and Model Context Protocols (MCP) servers
Deep understanding of LLM model integration and tuning
Experience monitoring and mitigating the specific operational costs associated with token usage and GPU compute utilization
Deep expertise in at least one major cloud ecosystem (AWS, Azure, OCI or GCP) and infrastructure provisioning
Experience with designing automation that reduces manual work in complex, multi-stakeholder environments
Experience with AMD Inference Microservice Platform (AIMS) or NVIDIA NIM a plus
Excellent communication skills and the ability to translate fluently between artists, production management, and engineers
Genuine passion for animation, storytelling, or creative productions
This position has been designated as fully remote, meaning that the position is expected to contribute from a non-DreamWorks worksite, most commonly an employee's residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $155,000 - $190,000
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
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