Middle/Senior Java engineer (IRC300952)

Job Description

Experience: 2–5 years of professional experience in Java software development.

Core Tech Stack: Strong knowledge of Core Java, Spring Boot, and Microservices architecture.

Testing: Hands-on experience with unit testing frameworks (JUnit, TestNG) and integration testing.

Data Processing: Familiarity with ETL processes, log data processing, and parser validation.

APIs & Formats: Solid understanding of RESTful APIs, JSON, and XML processing.

Databases: Practical experience with both SQL and NoSQL databases.

DevOps/Tools: Experience with Git and CI/CD pipelines (Jenkins, GitHub Actions, or similar).

Soft Skills: Strong problem-solving skills, analytical thinking, and sharp attention to detail.

English skills on advanced level. 

Job Responsibilities

Develop and maintain Java-based applications for log parser validation.

Implement unit and integration tests to ensure high code quality and framework stability.

Collaborate with Architects and Systems Analysts to translate complex requirements into efficient software solutions.

Build and optimize ETL pipelines for structured log processing, transformation, and validation.

Integrate automated test execution frameworks to streamline parser verification.

Ensure strict compliance with data anonymization and security standards.

Debug and tune performance for high-volume log data processing.

Document code, workflows, and technical implementations to ensure long-term maintainability.

Department/Project Description

Our customer is the global leader in healthcare, dedicated to helping people. As the largest healthcare device company in the world, they feature complementary businesses in Surgical Care, research, and development to meet customer needs and patient demands.

In this role, you will have the opportunity to become a part of our fast-growing HealthTech Division, creating innovative solutions for the MedTech and HealthTech domains.

About the Parsers Project:
The Parsers Project is focused on delivering a robust, scalable, and automated framework for generating test cases to validate log file parsers. This initiative enhances accuracy, reliability, and efficiency in parser validation by incorporating structured data transformation, automated test execution, and comprehensive verification mechanisms. The solution offers an end-to-end workflow that extracts, transforms, and verifies log data while ensuring compliance with anonymization and normalization standards.