Platform Engineer (Remote)

RTX; United States; Remote; USD 108,000 - 205,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

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

Holidays

Job summary

RTX is seeking a Platform Engineer to advance data and AI capabilities by designing, integrating, and delivering scalable, production-ready software and cloud solutions. You will work with leaders and cross-functional teams to implement AI/ML, automation, and modern engineering practices while ensuring reliability and performance.

You will mentor colleagues, contribute to technical docs, and promote best practices across RTX’s engineering teams, including CI/CD and observability.

Qualifications

• Requires a university degree or equivalent experience with a minimum of 8 years, or an advanced degree with at least 5 years.
• 3+ years of experience with data science and machine learning.
• 3+ years of experience with the Software Development Life Cycle and software development, including Python and the Python stack.

Responsibilities

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to enable advanced data capabilities at RTX.
• Lead multi-disciplinary efforts to produce AI/ML capabilities via production software and cloud engineering, ensuring end-to-end design, implementation, and support.

Skills

Data science

Python

SDLC

Education

University degree or equivalent

Advanced degree

Tools

Cloud platforms (AWS/Azure)

LLMs/APIs

Job description

Date Posted:

2026-10-14

Country:

United States of America

Location:

US-CT-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

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.

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

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.

Qualifications You Must Have

• 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.

Qualifications We Prefer

• 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.

_ As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. _

The salary range for this role is 107,500 USD - 204,500 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.

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