Full Stack Engineer

Overview

Full Stack Software Engineer role on the RTX Corporate, Enterprise Services team, designing and deploying scalable, secure, and reliable web applications that support RTX's enterprise technology capabilities.

What you'll do

• Develop and maintain full-stack web applications using React.js for front-end and Python and Node.js for back-end services.
• Build and deploy applications on AWS and Azure cloud platforms, ensuring scalability, reliability, and performance.
• Write clean, testable, efficient, and maintainable code with comprehensive documentation to support long-term development.
• Integrate APIs and microservices to support secure, enterprise-grade applications.
• Design, query, and optimize SQL databases and data storage solutions.
• Implement version control, CI/CD pipelines, and infrastructure automation using GitHub Actions, Jenkins, and other DevOps tools.
• Leverage AI technologies, including Retrieval-Augmented Generation (RAG), to enhance application capabilities and workflows.
• Participate in code reviews, architecture discussions, and Agile ceremonies to promote engineering best practices.
• Develop secure solutions in a highly regulated environment while ensuring compliance with applicable security standards.
• Collaborate with cross-functional teams to solve complex technical challenges, navigate ambiguity, and deliver end-to-end solutions.

What you'll need

• Typically requires a Bachelor's degree and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 5 years of experience.
• Experience developing applications using React.js, Python, and cloud platforms such as AWS and Azure.
• Experience with CI/CD pipelines and infrastructure automation tools, such as GitHub Actions or Jenkins.
• Experience with front-end development, including responsive design and modern JavaScript frameworks.
• Experience with back-end development, RESTful APIs, and SQL database integration.

Nice to have

• Experience with containerization tools such as Docker and orchestration platforms such as Kubernetes.
• Familiarity with AI technologies, including RAG, natural language processing (NLP), and related frameworks.
• Strong problem-solving skills, with the ability to navigate ambiguity, establish technical direction, and deliver end-to-end solutions.
• Understanding of DevOps methodologies and software engineering best practices.
• Demonstrated technical curiosity and initiative in tackling complex challenges.
• Experience working in highly regulated, security-conscious environments.

Details

• Location: Remote, U.S.-based role; U.S. citizenship required.
• Security clearance: None/Not Required.
• Employees primarily work offsite; a degree of onsite presence may be discussed by the manager based on proximity to an RTX site.
• Candidates may be asked to attend select interview steps in person at an RTX office location.