Job VC
Senior Full-stack Engineer (RoR or Python or Java / React or Vue)
Technologies
Description
Our Customer:
A fast-growing product startup in the Video AI domain, collaborating with global publishers and broadcasters to enhance video content experiences at scale.
Your tasks:
Own the full development lifecycle — from requirements analysis and system design to implementation, testing, and production deployment.
Design, build, and scale backend services, primarily using Ruby on Rails and Python.
Develop and optimize frontend solutions using Vanilla JavaScript (ES6), CSS, and modern frameworks such as React and Vue.
Ensure high performance of user interfaces, focusing on Core Web Vitals and overall responsiveness.
Work with a high-scale, distributed tech stack including PostgreSQL, Kafka, Spark, Redis, Elasticsearch, InfluxDB, Celery, and Iceberg.
Deploy, maintain, and scale applications in cloud environments, leveraging infrastructure tools like Terraform and Nomad.
Required experience and skills:
Bachelor’s degree in Computer Science (or equivalent experience).
8+ years of experience in software development with strong backend expertise (proficiency in Ruby on Rails, Python, Java for building scalable backend systems).
4+ years of experience in frontend development using Vanilla JavaScript (ES6), HTML, CSS.
2+ years of experience with modern frameworks (React or Vue).
Strong understanding of performance optimization principles, including Core Web Vitals.
Hands-on experience designing and building high-load, distributed systems.
Experience working with modern data and messaging technologies (Kafka, Redis, Elasticsearch etc.).
Hands-on experience with cloud platforms (AWS or GCP) and infrastructure-as-code tools.
Practical experience using AI-powered development tools (such as Claude, Cursor, Anti-Gravity) to improve development efficiency and code quality.
Fluent English (Upper-Intermediate or higher) and effective communication skills.
Would be a plus:
Experience with monetization platforms.
Background in Big Data technologies and data-intensive systems.
Experience in Video AI or video processing domains.
A fast-growing product startup in the Video AI domain, collaborating with global publishers and broadcasters to enhance video content experiences at scale.
Your tasks:
Own the full development lifecycle — from requirements analysis and system design to implementation, testing, and production deployment.
Design, build, and scale backend services, primarily using Ruby on Rails and Python.
Develop and optimize frontend solutions using Vanilla JavaScript (ES6), CSS, and modern frameworks such as React and Vue.
Ensure high performance of user interfaces, focusing on Core Web Vitals and overall responsiveness.
Work with a high-scale, distributed tech stack including PostgreSQL, Kafka, Spark, Redis, Elasticsearch, InfluxDB, Celery, and Iceberg.
Deploy, maintain, and scale applications in cloud environments, leveraging infrastructure tools like Terraform and Nomad.
Required experience and skills:
Bachelor’s degree in Computer Science (or equivalent experience).
8+ years of experience in software development with strong backend expertise (proficiency in Ruby on Rails, Python, Java for building scalable backend systems).
4+ years of experience in frontend development using Vanilla JavaScript (ES6), HTML, CSS.
2+ years of experience with modern frameworks (React or Vue).
Strong understanding of performance optimization principles, including Core Web Vitals.
Hands-on experience designing and building high-load, distributed systems.
Experience working with modern data and messaging technologies (Kafka, Redis, Elasticsearch etc.).
Hands-on experience with cloud platforms (AWS or GCP) and infrastructure-as-code tools.
Practical experience using AI-powered development tools (such as Claude, Cursor, Anti-Gravity) to improve development efficiency and code quality.
Fluent English (Upper-Intermediate or higher) and effective communication skills.
Would be a plus:
Experience with monetization platforms.
Background in Big Data technologies and data-intensive systems.
Experience in Video AI or video processing domains.