Principal Software Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $152k - $202k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• 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

• 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

• 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