We are seeking a skilled Packaged/SaaS Application Engineer to configure and support packaged or SaaS applications. This role involves adapting features, managing releases, and ensuring overall system stability. You will utilize standard tools, APIs, and low-code platforms to deliver solutions that meet business needs while maintaining compatibility and performance.

This is an exciting opportunity to work with cloud-native applications and AWS environments. The ideal candidate will possess strong Node.js expertise and have experience with AWS Full Stack Development, Java, and AngularJS. Your responsibilities will include designing and developing REST APIs, microservices, serverless solutions, and cloud integrations, all while upholding high code quality and engineering best practices.

Key responsibilities include developing scalable cloud-native solutions using Node.js, Java, and AWS services. You will design and implement REST APIs and microservices-based architectures, build and support AWS Lambda functions, AWS Batch jobs, containerized applications, and cloud integrations. Ensuring code quality through reviews and adherence to standards is essential. Collaboration with architects, stakeholders, and cross-functional teams is crucial for delivering successful business solutions. You will also support production environments, troubleshoot issues, and drive continuous performance improvements.

Candidates must have a minimum of 2-5 years of Full Stack Development experience, with at least 3 years focused on AWS cloud services. Strong hands-on experience with Node.js is non-negotiable. Proficiency in designing and developing scalable enterprise applications, understanding REST APIs and microservices architecture, and solid SQL and database design skills are required. Experience working in Agile development environments is also essential. A background in application modernization, cloud migration, or serverless architectures is advantageous. Familiarity with modern development tools like GitHub Copilot or Claude AI will be a plus. The role requires 15 years of full-time education.