Sr. Full Stack Developer

Key Responsibilities

• Design, develop, and implement custom software and database application capabilities for a variety of legacy and modernized systems with limited oversight
• Integrate AI capabilities into existing and new applications, leveraging LLMs, agents, and automation to enhance functionality and user experience
• Contribute to a culture of AI literacy within the engineering team, sharing strategies for safe, ethical, and effective use of AI in software development and encouraging experimentation with new AI-enhanced workflows
• Stay current on emerging AI technologies, frameworks, and patterns; make recommendations for adoption where they add measurable value
• Proactively participate in organizational web platform efforts such as quality assurance, upgrade survivability, and resiliency
• Do your part in release and sprint planning, story creation, sprint testing, regression testing, user acceptance testing, demonstrations, retrospectives and solution releases
• Ensure product quality and timeliness of work, provide advice and guidance, resolve problems to meet engineering guidelines
• Provide follow-on support for post-production release features including on-call rotation support (approximately 1 week per quarter)
• Provide technical mentoring for team members, including guidance on AI-assisted development practices, architectural best practices, and technical roadmaps
• Perform other tasks as identified by your manager to enable team success

Required Skills

• Bachelor’s or Master’s or MBA degree in Computer Science, Management Information Systems, or Supply Chain
• 8+ years of experience with various technologies such as: Development: JavaScript/Node.js/Vue.js, Groovy/Grails, Java/Springboot, and Software AG webMethods
• Database Technologies: Mongo DB, Oracle, PostgreSQL, PL/SQL
• Testing: Vitest, Jest, Ava, Junit, Playwright
• Containers: OpenShift, Kubernetes, Docker, Tanzu/Cloud Foundry
• Ci/Cd: Github, Codefresh, Jenkins
• Experience with AI development tools and coding assistants (e.g., GitHub Copilot, Windsurf, Claude)
• Understanding of AI principles including LLMs, RAG, agents, and prompt engineering
• Experience integrating AI capabilities into application workflows; having shipped an AI-driven feature or application to production is a strong plus
• Familiarity with AI SDKs and frameworks (e.g., OpenAI SDK, LangChain)
• Familiarity or working experience with web development in utilizing an Agile methodology
• Test-First mindset across all levels of application development including unit, functional, end-to-end and regression testing
• Critical thinker with the ability to break down complex technical requirements
• Strong communication skills - Communicate complex ideas clearly and concisely. Diagraming/Presentation tools such as Lucid or Power Point
• Result driven and self-motivated with the ability to work independently with minimal supervision