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# Platform Engineer (Remote)

- **Company:** RTX
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $107,500.0 - $204,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Documentation, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Node.Js, Cloud Services, Software Engineering, Software Systems, SQL Databases, Systems Integration, Cloud Platform System, Large Language Models, Reliability of Systems, Generative AI, Data Management, Machine Learning Operations, Restful APIs, AIOps
- **Published:** October 15, 2026
- **Apply:** https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CT-REMOTE/Platform-Engineer--Remote-_01882296

## About the Role

* Typically requires a 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., * 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.

What We Offer

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.

## Description

As a Platform Engineer, you will help advance RTX's data and AI capabilities by designing, integrating, and delivering scalable, production-ready software and cloud solutions. Working collaboratively with technical leaders, product and program managers, and cross-functional teams, you will drive the implementation of AI/ML technologies, automation, and modern engineering practices while ensuring end-to-end system reliability, maintainability, and performance. You will also contribute to technical documentation, promote engineering best practices, and mentor developing talent across the organization.

What You Will Do

 * Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities to RTX.
 * Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities to RTX through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from 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 realization.
 * Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automation.
 * Advise technical support and building of user documentation
 * Mentor early and mid career team members, supporting their ascension to senior and lead roles.