Job Description"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
Qualifications"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 - $190,000Additional InformationAs 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.
