JOB DESCRIPTION:

Responsible for designing and developing software applications and application extensions using a combination of Java technologies and modern Big Data platforms and streaming technologies. Guides the integration and deployment of a broad range of components, from lab development environments to QA and production. Troubleshoots and analyzes production issues. Documents work activity using a blend of Agile technologies and WIKI based content management systems. Collaborates closely with both senior and junior colleagues.

"• 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"
"• Strong skills in the following areas:
o Languages: Java
o Frameworks: SpringBoot
o Big Data: Kafka, Spark
o NoSQL: Cassandra
o Automation: Gradle, Concourse, Ansible
o 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
• MaaS experience, i.e., Telegraf, Prometheus, Grafana, Alerta
• Good verbal and written communication skills
• Experience writing technical system admin guides, installation guides and troubleshooting guides"