Senior Analyst, Platform Engineer

• Assist in developing and maintaining cloud-agnostic software and automation that operates across AWS, Azure, and on-prem Kubernetes clusters
• Support cross-functional teams by contributing to integration, documenting workflows, and helping ensure smooth solution delivery.
• Contribute to building and maintaining internal SDKs, APIs, and microservices that support AI workflows across hybrid environments.
• Write clean and efficient code with guidance, focusing on readability, maintainability, and continuous improvement
• Use AI-assisted development tools (OpenCode, Claude Code) and basic RAG frameworks to support coding tasks, documentation, and user-support workflows.
• Provide user onboarding and operational support for platform services - assisting new users with access, explaining platform capabilities, helping troubleshoot common issues, routing requests, and maintaining user-facing documentation.
• Collaborate across remote teams, working in a highly regulated, security-conscious environment., Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

• Typically requires a University Degree or equivalent experience and minimum 2 years of prior relevant experience, or an Advanced Degree in a related field.
• 3+ years in Python and Infrastructure as Code (IaC).
• 3+ years experience with CI/CD pipelines and infrastructure automation tools (GitHub Actions, Jenkins, Terraform, etc.).
• Prior experience maintaining reusable Helm charts, manifests, and deployment templates with guidance from senior engineers., * Understanding of the software development lifecycle, including coding standards, source control, CI/CD, and testing practices.
• Basic familiarity with GitOps concepts and tools such as Argo CD.
• Exposure to AI/ML tools, data platforms, agent frameworks, or API management platforms.
• Interest in DevOps and AIOps methodologies, containerization, and IaC best practices.
• Strong problem-solving skills with the ability to navigate ambiguity, define technical direction, and drive end-to-end solutions.
• Demonstrated deep technical curiosity and the initiative to dive into complex challenges.

The salary range for this role is 68,900 USD - 131,100 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 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.

The following position is to join our RTX Enterprise Services team:

Do you want to be part of an exciting initiative to combine foundational IT with new digital technologies? The Enterprise Services team, part of the RTX Digital Technology function, delivers value through building foundational capabilities to enable data and AI for the enterprise. Collaborating with other developers, architects, leaders, and business units the team engineers and secures next generation of enterprise-wide data ecosystem for RTX. This work provides a competitive edge, solves business problems, and transforms our operations.