Senior Full Stack Engineer

• 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.

What You Will Learn:

This role is perfect for someone who loves working across the stack, solving challenging problems, and exploring cutting-edge AI technologies Strong problem-solving skills with the ability to navigate ambiguity, define technical direction, and drive end-to-end solutions.

• 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., * 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.
• Demonstrated deep technical curiosity and the initiative to dive into complex challenges.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

At RTX, the world’s largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

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. Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term platform strategy while mentoring engineers and promoting strong engineering best practices.