Job description
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.
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 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
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