Full Stack Engineer

The opportunity:·Build world-class front-end experiences using Angular, delivering clean, scalable, and performant UI solutions.·Leverage AI assisted development tools such as GitHub Copilot, Windsurf, and Claude Code to increase development velocity, improve code quality, and simplify refactoring.·Design and implement scalable full stack solutions, creating reusable services and components that support high traffic applications.·Collaborate and lead within an Agile squad, supporting team health through mentorship, coaching, and fostering an inclusive, high performance engineering culture.·Translate complex technical concepts including AI and cloud architecture into clear, practical language for Product Owners and business stakeholders.This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.What you need:·Front End Expertise: Advanced hands-on experience with Angular; exposure to React or other modern UI frameworks is a plus.·Back End Experience: Intermediate to advanced experience with Java or Node.js in distributed application environments.·Cloud & Containers: 2+ years of experience working with AWS, Azure, or Open Shift, including containerized applications using Docker and Kubernetes.·Version Control Excellence: Strong expertise with Git, including branching and merge strategies.·CI/CD Proficiency: Practical experience building and maintaining GitHub Actions workflows for automated testing, security scanning, and deployments.·Design to Code: Comfortable translating Figma designs into pixel perfect, responsive production UI.·API & Software Design: Deep understanding of Restful APIs, Open API specifications, and common software design patterns.·DevOps Mindset: Experience in fast paced environments with frequent production releases and robust automated testing.·AI Assisted Development: Proven experience using tools like GitHub Copilot, Windsurf, or Claude Code in real-world engineering workflows.·Observability & Support: Experience supporting production systems using tools such as Splunk or Dynatrace.·Automation & Agents: Hands on experience building or integrating intelligent agents for CI/CD, code review, testing, or deployment automation.