Platform Engineer

RTX

. Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to advance RTX data capabilities .

Posted 10/15/2026full-timeRemote • Connecticut • United StatesSeniorLead💰 $107,500 - $204,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML capabilities, cloud engineering, and software development, with a strong focus on integrating APIs and automation. Proven ability to lead multidisciplinary teams and mentor team members while ensuring high-quality, scalable software solutions.

Highest-signal resume keywords

AI/ML CapabilitiesCloud Computing (AWS/Azure)Python and Scientific StackSoftware Development Life Cycle (SDLC)Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningSoftware Application DevelopmentSQLNodeREST APIsTesting LibrariesLarge Language Models (LLMs)CI/CDAutomation

Soft Skills

Organizational SkillsMentoring

Certifications & Qualifications

University Degree or Equivalent ExperienceAdvanced Degree in Related Field

Industry Keywords

Generative AIAIOpsGenOpsMLOpsTechnical SupportUser Documentation

Tech Stack

Tools & technologies

AWSAzureCloudNode.jsPythonSDLCSQL

About the role

Key responsibilities & impact

Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to advance RTX data capabilities
Integrate APIs, SDKs, and automation activities
Lead multidisciplinary efforts to deliver AI/ML capabilities through production software and cloud engineering
Implement generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering solutions
Ensure capabilities are designed, implemented, maintained, observed, and supported end-to-end
Maintain high-level and low-level views of technical systems
Coordinate with teams and subject matter experts across disciplines
Design, write, test, and deploy production-quality software
Maintain scalable, observable, readable, automated, and CI/CD-enabled solutions
Advise technical support and develop user documentation
Mentor early- and mid-career team members

Requirements

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
Experience with Python and the Python scientific stack
U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract
Relevant experience with cloud computing platforms such as AWS and/or Azure
Organizational skills for knowledge, documentation, and data management
Experience with SQL, Node, REST APIs, and testing libraries
Experience building products using Large Language Models (LLMs) and LLM APIs
Technical leadership experience as an engineering lead for a program, product, or large project
Experience as part of a multi-disciplinary team
Experience with cloud computing

Benefits

Comp & perks

Healthcare benefits
Wellness benefits
Retirement benefits
Work/life benefits
Parental leave, including paternal leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Employee assistance program
Employee Scholar Program
Paid time off
Holidays
Annual short-term and/or long-term incentive compensation programs, depending on position level and collective-bargaining coverage
Remote work primarily offsite from home