Backend Developer, Java

• Design, develop and maintain backend applications in Java.
• Build and evolve high-performance REST APIs.
• Contribute to the development of Big Data processing pipelines.
• Optimize application performance and ensure reliability.
• Design and optimize SQL data models.
• Participate in business requirements analysis and technical design.
• Contribute to architectural decisions and platform evolution.
• Perform code reviews and promote best practices (Clean Code, SOLID).
• Drive continuous improvement of development industrialization.
• Diagnose and fix production incidents.
• Collaborate with Front-End, DevOps and Product teams.
• Help scale the performance of a very high-volume platform.

Requirements

• 3–5 years of experience in Java backend development.
• Proficient in Java.
• Spring Boot / Spring Framework.
• REST API development.
• SQL (PostgreSQL, MySQL, etc.).
• Maven or Gradle.
• Git.
• Knowledge of REST principles, SOLID and Clean Code.
• Nice-to-have: Kafka, RabbitMQ or other messaging systems.
• Docker and Kubernetes.
• CI/CD (GitLab CI, GitHub Actions, Jenkins, etc.).
• Elasticsearch.
• Microservices architecture.
• Cloud (AWS, Azure or GCP).
• Prometheus, Grafana or OpenTelemetry.
• Bash.
• Node.js / TypeScript.

Core Competencies

Demonstrates expertise in Java backend development, including REST API design and SQL data modeling, while ensuring application performance and reliability. Proficient in modern development practices such as CI/CD, microservices architecture, and cloud technologies.

Highest-signal resume keywords

• Java Backend Development
• REST API Development
• Spring Boot / Spring Framework
• SQL (PostgreSQL, MySQL)
• CI/CD (GitLab CI, GitHub Actions, Jenkins)

ATS Optimization Keywords

Hard Skills

• Java
• REST API
• SQL
• Maven
• Gradle
• Git
• Microservices Architecture
• Docker
• Kubernetes
• Elasticsearch

Soft Skills

• Collaboration
• Problem-Solving
• Continuous Improvement

Industry Keywords

• Big Data Processing
• Clean Code
• SOLID Principles
• High-Volume Platform

Tools & Technologies

• Kafka
• RabbitMQ
• Prometheus
• Grafana
• OpenTelemetry
• Bash
• Node.js
• TypeScript