Principal Specialist, Platform Engineer

RTX, the world's largest aerospace and defense company, is seeking a Principal Specialist, Platform Engineer to join their Enterprise Services team. This role involves designing and implementing software and infrastructure for scalable and secure AI applications across the company, collaborating with various teams to enhance the enterprise-wide data ecosystem.

Responsibilities:

• Develop cloud-agnostic software that runs efficiently on AWS, Azure, and on-prem Kubernetes clusters to support enterprise-grade container orchestration
• Collaborate with cross-functional teams to ensure smooth integration and successful solution delivery, leveraging workflows to maintain flow, transparency and continuous improvement
• Build internal SDKs, APIs, and microservices that support AI workflows across hybrid environments
• Write clean, testable, and efficient code with a strong emphasis on performance, scalability, maintainability, and comprehensive documentation to support long-term development and knowledge sharing
• Integrate platform tools with enterprise systems such as identity management, logging, and governance
• Participate in code reviews, architecture discussions, and agile ceremonies
• Collaborate across remote teams, working in a highly regulated, security-conscious environment

Requirements:

• Typically requires: A University Degree or equivalent experience and minimum 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years experience
• 5+ years experience in Python and Infrastructure as Code (IaC)
• 5+ years experience with CI/CD pipelines and infrastructure automation tools (GitHub Actions, Jenkins, Terraform, etc.)
• Prior experience developing and maintaining reusable Helm charts, manifests, and deployment templates that promote consistency and portability across environments
• Understanding of the software development lifecycle, including coding standards, code reviews, source control, build processes (CI/CD), testing, and delivery for existing and new team products
• Ability to apply GitOps practices using Argo CD to manage cluster state, automate rollouts, and enforce declarative configuration across environments
• Understanding of AI/ML tools, data, agent and API management platforms
• Additional languages: Node.js or Go
• DevOps methodologies, and AIOps strategies, championing containerization and Infrastructure as Code (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