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 JavaExperience in building multitier web applications and creating REST APIsGood understanding of OOP principles, design patterns, algorithms, and data structuresHands on experience with ReactFamiliarity with cloud platforms (AWS, Google Cloud, or Azure)Hands on experience with Linux/Unix environmentsExperience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)Ability to write clean, maintainable, and well-tested codeEagerness to learn and contribute to engineering best practicesAt least an Upper-Intermediate level of English Responsibilities
Responsibilities
Develop and maintain scalable web applications using a microservices architectureParticipate in designing and implementing RESTful APIsSupport ingestion, processing, and analytics pipelines for large datasetsTake part in proof-of-concept (POC) initiatives to assess the viability of emerging tools and practicesContribute to Front-end development using ReactEnsure code quality through testing, code reviews, and adherence to best practicesWork with cloud-based infrastructure and tools to deploy and monitor applicationsCollaborate with cross-functional teams including Data Analysts and ScientistsSupport continuous improvement by suggesting tools, frameworks, and workflow enhancements