Senior Java Developer

Senior Java Developer

We are seeking a Senior Java Developer to support the EIDA platform, a highly scalable and data-intensive application focused on analyzing manufacturing and equipment telemetry data within the semiconductor industry. This role will be responsible for building high-performance backend services, large-scale data processing pipelines, and analytical capabilities in a complex on-premise big-data environment.

Key Responsibilities

• Design, develop, and maintain backend applications using Java, Spring Boot, and Spring Batch.
• Build high-performance, multi-threaded data processing solutions for large-scale telemetry and time-series datasets.
• Develop and support data ingestion and transformation pipelines using Python and Apache Spark.
• Create and maintain REST APIs and integrations with Angular-based front-end applications.
• Manage data access and optimization within HDFS/Hadoop and PostgreSQL environments.
• Support CI/CD processes using Bitbucket, Jenkins, Docker, and Unix scripting.
• Perform code reviews, automated testing, and performance optimization.
• Troubleshoot production issues and tune JVM-based applications and database queries.
• Collaborate with globally distributed engineering teams in an Agile environment.

Required Qualifications

• 10+ years of Java development experience.
• Strong expertise with Java, Spring Boot, Spring Batch, REST APIs, and multi-threading.
• Experience with Hadoop, HDFS, Spark, and big data processing frameworks.
• Proficiency in Python for scripting and data pipeline development.
• Strong SQL skills, including complex query development, optimization, and data model design.
• Experience with PostgreSQL or other relational databases.
• Familiarity with Angular and front-end integrations.
• Experience with Git/Bitbucket, Jenkins, Docker, and Unix/Linux environments.
• Strong automated testing and unit testing experience.
• Excellent debugging, performance tuning, and problem-solving skills.
• Strong communication skills and ability to work in global teams.

Preferred Qualifications

• Experience with Kafka or MQTT.
• Exposure to time-series data platforms and telemetry systems.
• Semiconductor manufacturing or equipment analytics experience.
• Experience supporting on-premise infrastructure and private clusters.

Work Environment

• On-premise development and production environments.
• Collaborative team consisting of U.S.-based and offshore engineers.
• Agile Scrum team environment.