Develop, maintain, and improve backend services using Java (8/11/17) with an emphasis on scalability, reliability, and performance

Build and advance microservices with Spring Boot, leveraging Spring Integration, Spring Cloud, and Spring Data

Apply and refine concurrent and multithreaded programming using Java core concurrency tools

Create and optimize data access layers and complex queries in PostgreSQL, focusing on data integrity and efficiency

Support data pipelines by enabling data ingestion, transformation, and integration with other systems

Use Google Cloud Platform tools, including Google Cloud Storage and BigQuery, for cloud-based data storage and processing

Set up and manage CI/CD pipelines with Jenkins to ensure consistent builds, automated tests, and deployments

Work closely with product, data, and DevOps teams to deliver solutions that align with business objectives

Engage in code reviews, technical discussions, and ongoing process improvements

At least 2 years of experience in backend Java development

Strong practical knowledge of Java 8/11/17, including core Java and concurrency (threads, executors, synchronization)

Experience with Spring Boot and related technologies such as Spring Integration, Spring Cloud, and Spring Data

Skilled in SQL and experienced with PostgreSQL, including schema design, query tuning, and transaction handling

Background working with Google Cloud Platform, particularly Google Cloud Storage and BigQuery

Proficient in setting up and maintaining CI/CD pipelines using Jenkins

Understanding of RESTful API design and microservices architecture

Comfortable working in an Agile environment and communicating with both technical and non-technical colleagues

Strong English communication skills at B2 level or above

Awareness of data pipeline concepts, including ETL/ELT, data flow, and the distinction between batch and streaming processing