Platform Engineer (Remote)

RTX; Connecticut; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

healthcare

wellness

retirement

work/life benefits

parental leave

flexible work schedules

achievement awards

educational assistance

child/adult backup care

medical

dental

vision

life insurance

short-term disability

long-term disability

401(k) match

flexible spending accounts

employee assistance program

Employee Scholar Program

paid time off

holidays

Job summary

RTX is seeking a Platform Engineer to advance our data and AI capabilities. You will design, integrate, and deliver scalable, production-ready software and cloud solutions while collaborating with technical leaders and cross-functional teams.

You will contribute to AI/ML initiatives, automation, and engineering best practices across the organization. You will mentor engineers, develop documentation, and ensure reliability, maintainability, and performance of complex systems, with a focus on

Qualifications

• 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.
• Experience with cloud computing platforms (AWS and/or Azure).
• Experience building products that use Large Language Models (LLMs) and LLM APIs.

Responsibilities

• Collaborate with leadership, product managers, and stakeholders to advance RTX's data capabilities.
• Design, integrate, and deliver scalable, production-ready software and cloud solutions with CI/CD automation.
• Mentor early and mid-career team members and promote best practices.
• Provide documentation and support for technical teams and customers.

Skills

Data science

Machine learning

Python

SDLC

Cloud computing

Education

University degree or equivalent experience

Advanced degree (preferred)

Tools

AWS

Azure

REST APIs

CI/CD

Job description

Remote Location

US-CT-REMOTE

Remote

Citizen, U.Person, or Immigration Status Requirements:

S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

Security Clearance Status:

Company Overview

With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Join us and help shape the future of aerospace and defense.

Position Summary

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.

Key Responsibilities

• 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. 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

• 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.
• 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 with cloud computing.

Benefits

• healthcare
• wellness
• retirement
• work/life benefits
• parental (including paternal) leave
• flexible work schedules
• achievement awards
• educational assistance
• child/adult backup care

Additional Benefits

• 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
• holidays

Location

• Location: This position is remote.
• Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
• As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select 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.

Hiring Process

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.

Some 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.

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.