Senior Streaming Infra Engineer: Scale, Cloud & CDN

Univision communications inc

Miami (FL)

On-site

USD 180,000 - 260,000

Full time

3 days ago
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Benefits offered by this job

PTO
Tuition reimbursement
Wellness programs
401(k)
Life insurance

Job summary

TelevisaUnivision is seeking a senior streaming infra engineer in Miami to design and scale the media infrastructure that powers live and on‑demand video experiences. You will architect and optimize systems spanning transcoding, packaging, DRM, and delivery with a focus on low latency and reliability.

You will deploy and operate Kubernetes-based pipelines, service meshes, and edge compute across GCP and AWS, ensuring high availability and SLA adherence while collaborating across teams to advance

Qualifications

  • Proven experience designing, deploying and operating streaming infrastructure.
  • Strong knowledge of video streaming protocols (HLS, DASH, CMAF).
  • Expertise with Kubernetes, Envoy and microservices.
  • Experience with DRM systems (Widevine, FairPlay, PlayReady) preferred.
  • CI/CD and infrastructure as code with Pulumi or similar tools.

Responsibilities

  • Design, architect, and implement scalable streaming infrastructure.
  • Build video transcoding pipelines and just-in-time packaging workflows.
  • Manage cloud infrastructure with IaC across GCP and AWS.
  • Operate containerized media workflows on Kubernetes and service mesh.
  • Define high availability, disaster recovery, and SLA aligned strategies.
  • Support automation and orchestration platforms for production services.

Skills

Python
JavaScript
Rust
Kubernetes
Envoy
CDN configuration
VCL scripting
LL-HLS/LL-DASH
DRM systems
GCP
AWS
Pulumi

Tools

GKE
Cloud Run
Pulumi

Job description

TelevisaUnivision is seeking a senior streaming infra engineer in Miami to design and scale the media infrastructure that powers live and on‑demand video experiences. You will architect and optimize systems spanning transcoding, packaging, DRM, and delivery with a focus on low latency and reliability.

You will deploy and operate Kubernetes-based pipelines, service meshes, and edge compute across GCP and AWS, ensuring high availability and SLA adherence while collaborating across teams to advance

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