Senior Full Stack Engineer

Location: Remote
Employment Type: Full-time

About the Role

Elad Systems is hiring a Senior Full Stack Engineer to join our team and work remotely for one of our clients.

The client is an Israeli startup in the Video AI domain, developing advanced technologies for video analysis, processing, and automation. Its core product enables publishers, news organizations, and media companies to automatically generate short clips from long-form videos, identify key moments, and enhance viewer engagement and user experience.

This is a backend-oriented role (approximately 80% backend development), including leading the design, development, and scaling of the company’s core products.

Responsibilities



Lead requirements from early-stage definition through design, implementation, integration, testing, and deployment


Develop high-quality backend code primarily in Ruby on Rails and Python


Develop high-quality frontend code using Vanilla JavaScript (ES6), CSS, HTML, React, and Vue


Optimize frontend performance and Core Web Vitals


Own the full development lifecycle — from inception to production


Take full ownership of all engineering aspects within your domain


Serve as a focal point for code quality, architecture, design, testing, and performance


Work with a modern tech stack including Postgres, Kafka, Spark, Redis, Elasticsearch, InfluxDB, Celery, Iceberg, and more



Requirements



Bachelor’s degree in Computer Science or a related field (or equivalent experience)


8+ years of relevant software development experience


Strong backend development experience (Ruby on Rails, Python, Java)


At least 4 years of frontend development experience with a strong emphasis on Vanilla JavaScript (ES6), CSS, and HTML


At least 2 years of experience with React or equivalent frameworks


Proven experience building high-scale systems


Deep understanding of concurrency, performance optimization, and database design


Experience using AI-driven development tools (e.g., Claude, Cursor, etc.)



Advantages



Experience in monetization systems


Experience in Big Data environments


Experience in cloud environments, preferably AWS


Experience in Video or Video AI domains