Sr Java Fullstack Developer

Participates in design and develop scalable and resilient systems using Java to contribute to continual iterative improvements for product teams
Executes software solutions design development and technical troubleshooting.
Creates secure and highquality production code and maintains algorithms that run synchronously with appropriate systems
Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Participate in project planning sessions with project managers business analysts and team members to analyze business requirements and outline proposed solutions
Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
Formal training or certification on software engineering concepts and 3 years applied experience
Handson practical experience in system design application development testing and operational stability
Requires experience with the following: React Java/J2EE and AWS
Proficient in coding in Java languages
Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Hands On experience in Private and Public Cloud Platform like AWS Azure Google Cloud.
Overall knowledge of the Software Development Life Cycle
Understanding of agile methodologies such as CI/CD Applicant Resiliency and Security
Knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
Preferred qualifications capabilities and skills
Knowledge of software applications and technical processes within a technical discipline (e.g. artificial intelligence machine learning mobile etc.)
Prefer experience with the following: Linux; Unix; Windows; Agile SDLC; Application Architecture Disciplines; Infrastructure Architecture Disciplines; Apache Kafka; Docker; Jenkins; NodeJS; Spring; C; CSS; Hibernate; HTML; JQuery; Selenium; Shell Scripting; SQL; Typescript; XML; Angular; Apache Tomcat; Bootstrap; REST; WebSphere; Maven; Swift; JSON; Kubernetes; Apache Zookeepter; AWS Cloud Services; Dynatrace; Hadoop; Hive; Splunk; Apache Subversion; GIT; Cucumber; Junit; Automated Testing; Blackbox Testing; Functional Testing; Manual Testing; Performance Testing; Regression Testing; Smoke Testing; System Integration Testing; Unit Testing; and User Acceptance Testing.