2 days ago
Base Salary
$130k - $160k/yr
Responsibilities
- Lead DevOps, platform engineering, and SRE practices for scalable, reliable, secure cloud applications and services.
- Design, build, and maintain CI/CD pipelines for software delivery, infrastructure deployment, platform provisioning, and operational workflows.
- Architect, deploy, and manage AWS infrastructure for application, data, machine learning, and AI workloads.
- Manage Docker, Kubernetes, and EKS containerization and orchestration platforms across development, testing, and production.
- Implement Terraform, CloudFormation, and GitOps practices for infrastructure consistency, governance, and operational efficiency.
- Build MLOps and AI platform capabilities including model deployment automation, inference operations, workflow orchestration, secure API integration, and lifecycle management.
- Develop observability solutions using logging, monitoring, tracing, and operational analytics platforms.
- Design highly available, disaster-resilient, cost-optimized cloud architectures and implement cloud security, identity, access, secrets management, and compliance controls.
- Automate infrastructure operations, environment provisioning, platform governance, and developer productivity workflows.
- Maintain documentation, operational runbooks, architecture standards, and governance processes while mentoring junior DevOps Engineers.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.
- 6+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering, including senior or technical leadership experience.
- Hands-on experience with Terraform and Infrastructure as Code at cloud scale.
- Deep AWS experience including EC2, EKS, ECS, S3, RDS, DynamoDB, Lambda, IAM, CloudWatch, and VPC networking.
- Experience with Kubernetes, EKS/ECS, and Docker.
- Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline, or similar tools.
- Experience supporting high-traffic, high-throughput consumer applications with expertise in scalability, performance, availability, and production reliability.
- Experience with observability and monitoring tools such as Datadog, Splunk, ELK, Prometheus, Grafana, OpenTelemetry, or CloudWatch.
- Strong understanding of cloud security, IAM, secrets management, networking, and secure infrastructure design.
- Experience designing platform architectures that balance reliability, performance, governance, and cost optimization.
- Ability to provide technical leadership and mentorship while remaining a hands-on individual contributor.
- Preferred experience includes platforms processing 5,000+ TPS, high-visibility live or tentpole events, Microsoft Azure, data pipeline orchestration, MCP servers, agentic AI architectures, LLM applications, AI/ML workloads, model-serving infrastructure, inference services, and AI platform security and governance.
- Excellent communication and collaboration skills across engineering, data, security, and architecture teams.
Benefits
- Company-sponsored medical, dental, and vision insurance.
- 401(k), paid leave, tuition reimbursement, discounts, and other perks.
- External candidates may be required to attend an in-person interview at an NBCUniversal location before a hiring decision.
Tech Stack
Amazon DynamoDBAWSAzureDatadogDockerGitHub ActionsGitLab CI/CDGrafanaJenkinsKubernetesPrometheusSplunkTerraform
Categories
About NBC
NBCUniversal is a global media and entertainment company that produces and distributes film, television, news, sports, and streaming content for consumer audiences and advertisers. Its portfolio includes NBC, Telemundo, Universal Pictures, DreamWorks Animation, and Peacock, and it also operates Universal theme parks and consumer products licensing. Formed in 2004 and headquartered in New York City, it is a subsidiary of Comcast.