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