Principal Full Stack Engineer

Position

Description:

Programs with SQL and non-SQL databases (Postgres, Elasticsearch, Kibana, Logstash (ELK), and Cassandra).  Produces accurate and maintainable code for test automation and software utilities, using Java technologies Core, Spring, Hibernate/JPA, J2EE Application Programming Interfaces (APIs), and JSON Web Services. Runs applications and code in the Cloud while collecting and monitoring operational data, using Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP).

Deploys Dev Ops methodologies using Jira, GIT, and Bitbucket. Works on component-based User Experience (UX) solutions using JavaScript, HTML, and React.js Web applications. Deploys and runs APIs in the Cloud through automation with integrated security and tests.

Primary Responsibilities:

Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations, capabilities, performance requirements, and interfaces.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Applied Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Full Stack Engineer (or closely related occupation) performing development of containerized Java components in a distributed computing environment.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Applied Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Full Stack Engineer (or closely related occupation) performing development of containerized Java components in a distributed computing environment.

Skills and Knowledge: DE testing Java methodologies and JUnit to create test tasks using Java and JUnit in an automated Jenkins pipeline environment; performing test execution using Jenkins in a Cloud-hosted environment to validate applications functionality and performance before deployment; and developing and deploying advanced load balancing, fault tolerance, and real-time data processing implementations using Java, Spring Boot, Redis, Docker, and Kubernetes within a high-traffic environment.
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