[Hiring] Mid-Level Video Engineer @Enroute

Role Description

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 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, APIs, 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.

Qualifications

• 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

Requirements

• 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 optimizing network performance, disk I/O, and 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

• Monetary compensation
• Year-end Bonus
• IMSS, AFORE, INFONAVIT
• Major Medical Expenses Insurance
• Minor Medical Expenses Insurance
• Life Insurance
• Funeral Expenses Insurance
• Preferential rates for car insurance
• TDU Membership
• Holidays and Vacations
• Sick days
• Bereavement days
• Civil Marriage days
• Maternity & Paternity leave
• English and Spanish classes
• Performance Management Framework
• Certifications
• TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
• Taquitos Rewards
• Amazon Gift Card on your Birthday
• Work-from-home Bonus
• Laptop Policy