Lead Java Software Engineer

Overview

• Lead complex technology initiatives including those that are company wide with broad impact
• Act as a key participant in developing standards and company wide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and company wide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in Application Development using Java and Microservices
• 3+ years of experience using Spring Boot
• 5+ years of experience using ReactJS, Redux, HTML, CSS, Type Script, and Java Script
• 5+ years of experience using Database Technologies such as Oracle, Mongo
• 1+ years of experience using generative AI technologies using OpenAI standard APIs
• Experience on vector database is big advantage
• Experience on Kafka, Apigee and containers like docker, k3s
• 1+ years of experience with ReactJS
• 3+ years of MongoDB experience
• 3+ years of experience with secure Dev Ops and deployment automation to cloud environments
• Understanding of technology architecture: distributed and client server technologies
• Understanding of AI technology
• Strong analytical skills with high attention to detail and accuracy
• Strong organizational, multi-tasking, and prioritizing skills
• Excellent communication and teamwork skills, be self-directed, self-motivated, committed, and a quick learner.