Senior AI Software Engineer

NBCUniversal

. Collaborate across technology and production teams, including principal engineers, to shape Platform as a Service implementation best practices .

Posted 9/24/2026full-timeRemote • California • United StatesSenior💰 $155,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI systems, with a strong focus on Kubernetes orchestration, cloud-native technologies, and operational support. Proficient in implementing governance and security best practices while facilitating continuous improvement in platform services.

Highest-signal resume keywords

Kubernetes OrchestrationAI System DevelopmentCloud-Native TechnologiesOperational SupportLinux Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python DevelopmentJava DevelopmentJavaScript DevelopmentUnix Shell ScriptingGit ProficiencyAI Workload DeploymentMicroservices DevelopmentAutomation DesignInfrastructure ProvisioningLLM Model Integration

Soft Skills

Excellent Communication Skills

Tools & Technologies

DatadogPrometheusDockerAWSAzureOCIGCP

Industry Keywords

Platform as a ServiceAgentic EngineeringCybersecurity CompliancePerformance MonitoringCreative Productions

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformJavaJavaScriptKubernetesLinuxMicroservicesPrometheusPythonShell ScriptingUnix

About the role

Key responsibilities & impact

Collaborate across technology and production teams, including principal engineers, to shape Platform as a Service implementation best practices
Influence and contribute to Agentic Engineering and MCP Server Development efforts
Develop and adopt governance, security, and observability best practices for AI and agentic systems
Use Kubernetes orchestration and operators to automate stateless application deployments and administration across on-premises and cloud environments
Use enterprise-grade Kubernetes software to develop, deploy, and run AI workloads across development and production environments
Identify process and efficiency improvements within Platform Services and help oversee implementation
Facilitate continuous improvement
Monitor and maintain platform infrastructure using tools such as Datadog for performance tracking, alerts, and capacity management
Participate in cybersecurity vulnerability mitigation and compliance efforts
Define and document standard runbooks 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
Build, scale, and secure AI infrastructure for data workflows and management

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical field
8+ years of experience in Software, DevOps or Platform Engineering
1+ years building AI systems for real workflows
Hands-on experience in cloud-native technologies and architectures, including Docker and Kubernetes
Proven experience developing and deploying AI agents, tool-calling systems, and multi-agent systems
Proficiency in revision control and DevOps best practices, including Git
Expert Linux experience, including Red Hat and CentOS
Proficiency with one or more Unix shell scripting languages, including Bash or C-Shell
Proficiency in Python, Java, or JavaScript development
Operational support experience, including platform infrastructure monitoring and troubleshooting using Datadog, Prometheus, or similar
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 operational costs associated with token usage and GPU compute utilization
Deep expertise in at least one major cloud ecosystem: AWS, Azure, OCI, or GCP
Experience with infrastructure provisioning
Experience designing automation that reduces manual work in complex, multi-stakeholder environments
Excellent communication skills and ability to translate between artists, production management, and engineers
Genuine passion for animation, storytelling, or creative productions

Benefits

Comp & perks

Medical, dental and vision insurance
401(k)
Paid leave
Tuition reimbursement
Variety of other discounts and perks
Fully remote work arrangement