Sr. Software EngineerThe role is part of the Risk, Fraud & Compliance Technology Solutions Group, primarily focusing on building technical solutions around Risk & Compliance systems.As a Sr. Software Engineer, primary responsibility will be towards design, development and delivery of Financial Crime Risk and Management solutions/projects and initiatives for our bank and customers.Requirements:Hands-on understanding of developing using Java J2EE and SQL applicationsWorking knowledge of Spring, Spring Boot, Spring Cloud, and ability to design cloud-native applicationsDesign, develop, and manage automated unit, integration and acceptance tests for all UI componentsWork with the Business Analysts and Customers throughout the requirements process to properly understand the long term goals of the program and where they fit in the overall UI infrastructureExperience with streaming in general (e.g.
spark streaming) and Kafka/Confluent in particularDevelopment and support of Kafka integrations, including topics, producers, consumers and streaming (KStream and KTable) applicationsDevelopment and support of Confluent connect, confluent KSQL, and confluent Schema registryCommunication of new technologies, best practices, etc. to testers, and ArchitectsExperience with Agile methodologies, development approaches, and tools (e. g.
JIRA)Ensure self and peers are actively seeking ways to objectively measure productivity. This will include a focus on automating code quality, code performance, unit testing, and build processing in the CI/CD pipeline (RTC, Jenkins, RLM)Strong hands on expertise in debugging and fixing streaming jobs by looking debug logs and configuration tuning. - Demonstrated experience with Application Servers (Tomcat, Websphere, Jetty, JBoss) and Web Servers (Apache, Nginx)Experience with distributed source control systems, preferably GitExperience developing high performance server side componentsPreferred:Strong techno functional skillsExperience in DevOps, building API, Microservices, Integration SolutionsBusiness Intelligence and Data Analytics experiencePrior financial services or banking experiencePrevious experience with Confluent Kafka, MQ is a plus.9+ years' experience in full stack software development, esp with Java or Scala with strong SQL background.2+ years of hands on experience data integration, Kafka/Confluent/Data Streaming development/operational platform experienceExperience with CICD delivery, with Jenkins, writing code as a pipeline jobs using groovy, administering Jenkins clusters with master and agents.Hands-on Experience with Ansible, writing playbooks to automate tasks, deploy artifactsEducation Qualifications: Bachelors or Masters in Computer Science or Engineering or related field