Platform Engineer

RTX

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

Posted 10/14/2026full-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 maintaining scalable software solutions. Proven ability to lead multidisciplinary teams and mentor junior members while ensuring high-quality documentation and data management.

Highest-signal resume keywords

AI/ML CapabilitiesCloud EngineeringPython ProgrammingSoftware Development Life CycleTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningSoftware Application DevelopmentSQLNode.jsREST APIsTesting LibrariesLarge Language ModelsCI/CD PracticesAutomation

Soft Skills

Organizational SkillsCollaborationMentoring

Tools & Technologies

AWSAzurePython Scientific Stack

Industry Keywords

Generative AIAIOpsGenOpsMLOpsTechnical 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 support advanced data capabilities
Integrate APIs, SDKs, and automation activities
Lead multidisciplinary efforts delivering AI/ML capabilities through production software and cloud engineering
Support generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering
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 software and CI/CD practices
Advise technical support and build 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
Experience with cloud computing platforms such as AWS and/or Azure (preferred)
Organizational skills for knowledge, documentation, and data management
SQL, Node, REST APIs, and testing libraries experience (helpful)
Experience building products using Large Language Models and LLM APIs (preferred)
Technical leadership experience (preferred)
Experience as part of a multi-disciplinary team (preferred)

Benefits

Comp & perks

Compensation package
Healthcare benefits
Wellness benefits
Retirement benefits
Work/life benefits
Career development programs
Recognition programs
Parental and 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 may be available