Mid Video Engineer Node.js

Enroute
Remote

About The Position

We are looking for a Mid-Level Video Engineer to join a high-impact engineering team responsible for building, supporting, and optimizing scalable video streaming solutions. The ideal candidate has solid backend development experience-especially with Node.js and hands-on familiarity with video technologies, adaptive streaming, and media delivery systems. This role is perfect for someone who enjoys working with real-time data streams, video processing pipelines, and distributed systems. You will work closely with video segments, APs, backend services, and streaming workflows that support video processing, analysis, and delivery. This role is ideal for someone who thrives in technically complex environments, enjoys troubleshooting, and is passionate about improving performance and reliability at scale.

Requirements

  • Strong experience with Node.js in backend, microservices, or data-streaming environments
  • Experience building and maintaining APIs and backend services
  • Experience working with microservices architectures
  • Strong troubleshooting and debugging skills
  • Working knowledge of HLS and adaptive streaming
  • Understanding of video formats, segmented video, and media delivery workflows
  • Hands-on experience with FFmpeg, media codecs, and video processing concepts
  • Experience working with data streams and event-driven architectures
  • Ability to work in distributed systems and scalable environments

Nice To Haves

  • Experience with TypeScript, Python, or other backend languages
  • Familiarity with video tools such as GStreamer, OpenCV, or VLC
  • Knowledge of streaming protocols such as RTMP or WebRTC
  • Experience with Cloud storage (e.g., Amazon S3)
  • Experience with CDNs (Content Delivery Networks)
  • Experience with Redis, Kafka, RabbitMQ
  • Experience with Monitoring tools (Prometheus, Grafana)
  • Experience optimizing network performance
  • Experience optimizing disk I/O
  • Experience optimizing processing performance for large media files

Responsibilities

  • Use Node.js to process and manage data streams in a microservices-based environment
  • Build and support workflows for fetching, handling, and analyzing video segments
  • Implement and troubleshoot video workflows involving HLS, adaptive streaming, FFmpeg, and codecs
  • Develop and maintain APIs for video delivery, metadata handling, and backend integrations
  • Work with event-driven architectures for real-time or near-real-time video processing
  • Collaborate with developers, QA engineers, and operations teams to improve streaming quality, performance, and reliability
  • Identify technical issues, propose improvements, and support scalable backend solutions
  • Contribute to system optimization across network, storage, and processing layers

Benefits

  • Year-end Bonus
  • IMSS, AFORE, INFONAVIT
  • Major Medical Expenses Insurance
  • Life Insurance
  • Funeral Expenses Coverage
  • TDU Membership
  • MediAccess
  • Health Check-Up Subsidy
  • Preferential rates for car insurance
  • Vacations
  • Official Mexican Holidays
  • Life Happens Days
  • Bereavement Leave
  • Civil Marriage Leave
  • English Classes
  • Certifications
  • Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
  • Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
  • Taquitos Rewards
  • Birthday Bonus
  • Work-from-home Bonus
  • Laptop Policy
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