Java Developer

Java Developer

Location: Need profiles who are local to New Jersey, PA or Virginia and who can come for onsite interview

Duration: Contract

Job Description:

We are looking for a candidate with hardcore Java (multi-threading mainly), Spring Boot and then Linux & any SQL DB experience.

Responsibilities

• Develops production quality code that is thoroughly tested
• Designs custom applications using sound architectural and design principles
• Conducts performance and scalability testing with customized load generating tools
• Automates the integration and delivery of software changes to development, test, and production environments using version-controlled playbooks and configuration files
• Works with the Quality Assurance team to determine if applications meet technical requirements
• Supports the deployment of new software releases
• Diagnoses performance issues both in the lab and in production, proposing and implementing code improvements
• Analyzes and resolves complex technical problems, particularly pertaining to Big Data products and applications
• Analyzes large data sets containing billions of entries
• Spark based analysis of large data sets containing billions of entries
• Designs, develops, and deploys meaningful metrics for system and application monitoring and alerting
• Analyzes and troubleshoots complex coding issues across multiple interrelated components
• Understands and identifies underlying Linux platform issues affecting overall system behavior
• Participates in on-call rotation

Requirements

• Strong skills in the following areas:
• Languages: Java
• Frameworks: SpringBoot
• Big Data: Kafka, Spark
• NoSQL: Cassandra
• Automation: Gradle, Concourse, Ansible
• OS: Linux, Shell Scripts
• Strong experience developing large-scale streaming solutions using Kafka and Cassandra
• Strong experience in multi-threaded applications and parallel processing, with a strong grasp of concurrency concepts
• Strong experience with Linux and Cloud native systems in a DevOps environment
• Experience with high volume batch and streaming data processing technologies such as Spark
• Experience in performance tuning and testing
• Working knowledge of messaging technologies such as JSON and REST
• LaaS experience, i.e., ELK stack (Elastic Search, Logstash, Kibana) for monitoring