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 DevOps 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: Brings applications and systems to market, by creating, deploying, and delivering software. Designs and develops software for platforms, applications, and diagnostics. Implements Microservices Architecture and builds and deploys highly automated, scalable, and maintainable infrastructure. Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations, capabilities, performance requirements, and interfaces. Develops and oversees software system tests and validation procedures, programs, and documentation. Recommends development testing tools and methodologies and reviews and validates test plans. Responsible for QA readiness of software deliverables. Develops comprehensive documentation for multiple applications or subsystems. Establishes full project life cycle plans for complex projects across multiple platforms. Responsible for meeting project goals on-time and on-budget . Advises on risk assessment and risk management strategies for projects. Plans and coordinates project schedules and assignments for multiple projects. Acts as a primary liaison for business units to resolve various project/technology issues. Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives. Advises senior management on technical strategy. Mentors junior team members. Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives. Develops original and creative technical solutions to on-going development efforts . 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 : Candidate must also possess : Demonstrated Expertise (“DE”) performing application development with Java, data structures, algorithms, and design patterns within Cloud-based computing environments requiring highly optimized, O (1)-level code in multi-tier Web applications and distributed system, using IntelliJ IDEA, Eclipse, Git, and Maven; and developing and deploying applications using Java, Oracle, RESTful APIs, Docker, and Cloud platforms to optimize every layer of an enterprise application for maximum security . DE developing and deploying containerized services and APIs using micro-frameworks and Kubernetes to build and test containerized event processing components using the Knuth-Morris-Pratt (KMP) algorithm deployed in a Cloud environment; and developing back-end components that utilize SQL database persistence layers, including Oracle or PostgreSQL, for development testing of read-only and data writing API components, using Java and SQL deployed in a Kubernetes environment . 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 . DE tuning database performance queries using query optimization, indexing strategies, partitioning, and sharding, with JMeter, Kibana, Prometheus, and Elasticsearch, within a high-traffic, mission-critical environment.