Mid Video Engineer Node.js
Skills
About the role
We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it.
At Enroute, 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 roll is perfect for someone who enjoys working with realtime 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.
This role requires availability to support APAC time zones, with an expected working schedule between 6:00 PM - 5:00 AM (CDMX time). We are open to candidates based in APAC regions such as India, Philippines, Vietnam, Indonesia, Malaysia, Singapore, Thailand, Australia, and other countries within similar time zones who can accommodate this schedule.
Requirements
Backend & Engineering
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
Video & Streaming
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
Data & Systems
Experience working with data streams and event-driven architectures
Ability to work in distributed systems and scalable environments
+ Nice-to-Have Requirements (Extras)
Experience with TýpeScript, 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)
CDNs (Content Delivery Networks)
Redis, Kafka, RabbitMQ
Monitoring tools (Prometheus, Grafana)
Experience optimizing:
Network performance
Disk 1/0
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 APls 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
Reliability
Identify technical issues, propose improvements, and support scalable backend solutions
Contribute to system optimization across network, storage, and processing layers
Benefits
Monetary compensation
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
Questions about this role
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.