Platform Engineer (Remote)

Overview

Remote Platform Engineer role within RTX Corporate Enterprise Services, advancing the company's data and AI capabilities through scalable, production-ready software and cloud solutions.

What you'll do

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team in bringing advanced data capabilities to RTX.
• Act as system integrator for APIs, SDKs, and other automation activities, leading multi-disciplinary efforts to bring advanced AI/ML capabilities to RTX through production software and cloud engineering.
• Cover generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering, ensuring capabilities are designed, implemented, maintained, observed, and supported end-to-end.
• Maintain both high-level and low-level views of technical systems, and coordinate with teams and subject matter experts from other disciplines to realize successful outcomes.
• Design, write, test, and deploy production-quality software that is maintainable, automated (CI/CD), scalable, observable, organized, and readable.
• Ensure best practices are maintained, including quality and CI/CD automation.
• Advise technical support and the building of user documentation.
• Mentor early and mid-career team members, supporting their advancement to senior and lead roles.

What you'll need

• University degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience.
• 3+ years of experience with data science and machine learning.
• 3+ years of experience with the Software Development Life Cycle and software application/product development, including Python and the Python scientific stack.

Nice to have

• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
• Relevant experience with cloud computing platforms (AWS and/or Azure).
• Organizational skills for knowledge, documentation, and data management.
• Other helpful experience: SQL, Node, REST APIs, testing libraries.
• Experience building products that use Large Language Models (LLMs) and LLM APIs.
• Technical leadership experience, such as being the engineering lead for a program, product, or large project.
• Experience as part of a multi-disciplinary team.
• Experience with cloud computing.

Details

• Remote role, primarily offsite (from home); a degree of onsite presence may be discussed by the manager for those within a reasonable commute of an RTX site.
• Candidates may be asked to attend select interview steps in person at an RTX office location.
• U.S. citizenship is required; no security clearance required.
• U.S.-based role.