Middle Full Stack Developer (React+Java)

Overview

Required skills

Java / strong React / strong Clouds / good English / strong We are looking for a person with in-depth knowledge of Full Stack development who is striving to grow professionally.

Customer

It is an international technology company that specializes in developing high-load platforms for data processing and analytics. Its core product helps businesses manage large volumes of data, build models, and gain actionable insights. The company operates globally and serves clients primarily in the marketing and advertising sectors, and focuses on modern technologies, microservices architecture, and cloud-based solutions.

Project The project focuses on working with audiences and targeting from the advertisers’ side (such as marketing agencies and similar structures). It is an independent project within a larger AdTech platform.

Requirements

Requirements

4 years of experience in software development using Java

Experience in building multitier web applications and creating REST APIs

Good understanding of OOP principles, design patterns, algorithms, and data structures

Hands on experience with React

Familiarity with cloud platforms (AWS, Google Cloud, or Azure)

Hands on experience with Linux/Unix environments

Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)

Ability to write clean, maintainable, and well-tested code

Eagerness to learn and contribute to engineering best practices

At least an Upper-Intermediate level of English

Responsibilities

Responsibilities

Develop and maintain scalable web applications using a microservices architecture

Participate in designing and implementing RESTful APIs

Support ingestion, processing, and analytics pipelines for large datasets

Take part in proof-of-concept (POC) initiatives to assess the viability of emerging tools and practices

Contribute to Front-end development using React

Ensure code quality through testing, code reviews, and adherence to best practices

Work with cloud-based infrastructure and tools to deploy and monitor applications

Collaborate with cross-functional teams including Data Analysts and Scientists

Support continuous improvement by suggesting tools, frameworks, and workflow enhancements