Principal Software Engineer

GE Aerospace

. Design, build, and maintain full-stack applications and services across requirements, implementation, testing, documentation, and production support .

Posted 9/23/2026full-timeRemote • United StatesLead💰 $152,000 - $202,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building and maintaining full-stack applications, integrating machine learning models, and optimizing application performance. Proficient in cloud technologies and capable of leading complex application projects while mentoring junior developers.

Highest-signal resume keywords

Full-Stack Application DevelopmentMachine Learning Model IntegrationCloud Application HostingCI/CD and Automated TestingKnowledge Graphs and Ontologies

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Full-Stack DevelopmentMachine LearningNatural Language ProcessingAPI DevelopmentPerformance OptimizationCoding StandardsDebuggingVersion ControlApplication SecurityResponsive Design

Soft Skills

Strong CommunicationEffective CollaborationMentoringProblem SolvingProject Management

Tools & Technologies

AWSDatabricksSnowflakeGitMCP ServersCI/CD ToolsAutomated Testing FrameworksKnowledge GraphsOntologiesLLM APIs

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Related Field (Desired)

Industry Keywords

Full-Stack ApplicationsCloud TechnologiesAI FeaturesIncident ResponseRoot-Cause AnalysisBusiness IntelligenceData PlatformsApplication RoadmapProduction SupportAudit Logging

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Design, build, and maintain full-stack applications and services across requirements, implementation, testing, documentation, and production support
Build responsive front ends and cloud-deployed back-end services
Optimize application performance and monitor applications for errors, latency, and usage
Own alerting, incident response, and root-cause analysis
Embed AI features including natural-language queries, predictive insights, recommendations, and conversational interfaces
Ground AI features in knowledge graphs and ontologies for semantic search and reasoning over operational data
Build and expose reusable AI capabilities via MCP servers
Integrate machine-learning models and LLM APIs into production applications
Build agentic workflows that trigger actions and update records with human approval and audit logging
Move models from experiment to reliable, production-grade features
Set and enforce application coding standards, design patterns, and engineering best practices
Review application code for correctness, performance, security, and maintainability
Establish CI/CD, automated testing, and version-control workflows
Build reusable components, templates, and utilities
Mentor and coach junior software engineers and BI developers
Translate ambiguous business problems into project plans and application work
Partner with BI leadership on the application roadmap and stakeholders on requirements and priorities
Lead application projects of moderate to high complexity and influence technical direction

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, or a related technical field from an accredited university or college
Minimum of 8 years of hands-on experience building and shipping full-stack applications to production
Strong expertise across modern front-end and back-end technologies
Experience embedding ML models, LLM APIs, and agentic workflows into production applications
Experience building MCP servers or equivalent tool interfaces for production use
Experience modeling domain knowledge as knowledge graphs and ontologies
Familiarity with cloud application hosting and modern data platforms such as Databricks, AWS, or Snowflake
Proficiency with Git, CI/CD, automated testing, code review, and secure-by-default practices
Ability to debug across the front end, API, database, and integrations
Strong communication skills with technical and non-technical audiences
Effective collaboration with BI developers, data and AI/ML engineers, and business stakeholders
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable
Master's degree in a related field is desired

Benefits

Comp & perks

Medical, dental, vision, and prescription drug coverage
Health Coach from GE Aerospace
Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
GE Aerospace Retirement Savings Plan
401(k) savings plan with company matching contributions
Company retirement contributions
Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time off for vacation or illness
Professional development opportunities
Competitive compensation
Annual discretionary bonus
New Hire Orientation on Day 1