Senior Full Stack Engineer

About the role

This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities at RTX. The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation.

Responsibilities

• Develop and maintain full-stack web applications using React.js for front-end development and Python and node.js for back-end services.
• Build and deploy applications on AWS and Azure cloud platforms, ensuring scalability and reliability.
• Collaborate with cross-functional teams to ensure smooth integration and successful solution delivery, aligned with agile principles of teamwork and transparency.
• Write clean, testable, and efficient code with a strong emphasis on performance, scalability, maintainability, and comprehensive documentation to support long-term development.
• Integrate APIs and microservices to support enterprise-grade applications.
• Work with SQL databases to design, query, and optimize data storage solutions.
• Implement best practices for version control and CI/CD pipelines using GitHub and other DevOps tools.
• Leverage knowledge of AI technologies, including Retrieval-Augmented Generation (RAG), to enhance application capabilities and workflows.
• Participate in code reviews, architecture discussions, and agile ceremonies.
• Work in a highly regulated, security-conscious environment, ensuring compliance with industry standards.

Qualifications

• Bachelor’s degree and 10 years of prior relevant experience OR Advanced Degree in a related field and minimum 8 years of experience.
• Proficiency in React.js, Python, and cloud platforms like AWS and Azure.
• Experience with CI/CD pipelines and infrastructure automation tools (GitHub Actions, Jenkins, etc.).
• Strong understanding of front-end development, including responsive design and modern JavaScript frameworks.
• Knowledge of back-end development, including RESTful APIs and SQL database integration.

Preferred Qualifications

• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Familiarity with AI technologies, including RAG, NLP, and related frameworks.
• Strong problem-solving skills with the ability to navigate ambiguity, define technical direction, and drive end-to-end solutions.
• Understanding of DevOps methodologies and best practices.
• Demonstrated deep technical curiosity and the initiative to dive into complex challenges.