We are seeking an experienced Java Backend Developer with a strong foundation in building scalable, high-performance backend systems.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
7+ years of experience in backend development with a strong focus on Java.
Proficiency in Java 12+ and Spring Boot framework.
Experience with RESTful API design and development.
Solid understanding of microservices architecture and distributed systems.
Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
Experience with message brokers like Kafka or RabbitMQ.
Knowledge of containerization and orchestration tools (Docker, Kubernetes).
Proficiency with version control systems like Git.
Experience with CI/CD pipelines and tools like Jenkins, GitLab CI, or similar.
Familiarity with Agile/Scrum methodologies and tools like Jira or Trello.
Hands-on experience building and maintaining data pipelines using cloud-native tools such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
Experience integrating backend services with data lakes, data warehouses (e.g., Amazon Redshift, BigQuery ), and real-time streaming platforms (e.g., Kafka, Kinesis).

We are seeking an experienced Java Backend Developer with a strong foundation in building scalable, high-performance backend systems.

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
7+ years of experience in backend development with a strong focus on Java.
Proficiency in Java 12+ and Spring Boot framework.
Experience with RESTful API design and development.
Solid understanding of microservices architecture and distributed systems.
Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
Experience with message brokers like Kafka or RabbitMQ.
Knowledge of containerization and orchestration tools (Docker, Kubernetes).
Proficiency with version control systems like Git.
Experience with CI/CD pipelines and tools like Jenkins, GitLab CI, or similar.
Familiarity with Agile/Scrum methodologies and tools like Jira or Trello.
Hands-on experience building and maintaining data pipelines using cloud-native tools such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
Experience integrating backend services with data lakes, data warehouses (e.g., Amazon Redshift, BigQuery ), and real-time streaming platforms (e.g., Kafka, Kinesis).

Senior Software Engineer