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.
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
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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
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
Mandatory Skills: Telecom Service Assurance
Any Gradute