Senior Full Stack Engineer

תיאור ודרישות משרה

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

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