Principal - Software Engineer

• Design, build, and maintain full-stack applications and services across the full software lifecycle: requirements, implementation, testing, documentation, and production support
• Build responsive front ends and back-end services deployed to the cloud
• Optimize application performance so applications and monitor applications for errors, latency, and usage; own alerting, incident response, and root-cause analysis

AI-Powered Features

• Embed AI into applications with natural-language queries, predictive insights, recommendations, and conversational interfaces
• Ground AI features in knowledge graphs and ontologies that model the domain and enable semantic search and reasoning over operational data
• Build and expose reusable AI capabilities via MCP servers that applications and agents can call
• Integrate machine-learning models and LLM APIs into production applications to enhance insights and decision-making
• Build agentic workflows that trigger actions and update records, with human approval and audit logging
• Partner with junior engineers to move models from experiment to reliable, production-grade features

Technical Standards & Code Quality

• Set and enforce application coding standards, design patterns, and engineering best practices across the team
• Serve as senior reviewer for application code correctness, performance, security, and maintainability
• Establish CI/CD, automated testing, and version-control workflows for application development
• Build reusable components, templates, and utilities that accelerate development across the team

Technical Leadership & Mentorship

• 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 with stakeholders on requirements and priorities
• Lead application projects of moderate to high complexity, guiding others and influencing technical direction

• 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

Desired Characteristics:

• Master’s degree in a related field from an accredited university or college

Technical Expertise

• Full-Stack Development: Strong across modern front-end and back-end technologies; builds and owns applications end to end
• AI Integration: Experience embedding ML models, LLM APIs, and agentic workflows into production applications
• MCP & Tool Interfaces: Builds MCP servers or equivalent tool interfaces that applications and agents call in production
• Knowledge Graphs & Ontologies: Models domain knowledge as graphs and ontologies to ground AI, power semantic search, and enable reasoning over connected data
• Cloud & Data Platforms: Familiar with cloud application hosting and modern data platforms (Databricks, AWS, Snowflake, or similar)
• Engineering Fundamentals: Git, CI/CD, automated testing, code review, and secure-by-default practices

Domain & Problem-Solving

• Breaks ambiguous business problems into clear, shippable increments and validates assumptions with users
• Debugs across the stack-front end, API, database, and integrations
• Weighs trade-offs (build vs. buy, batch vs. real-time, speed vs. reliability) with clear reasoning
• Experience in supply chain, manufacturing, maintenance, or similar operational domains is a strong plus

Collaboration & Communication

• Strong communication skills: Explains technical concepts and trade-offs to technical and non-technical audiences
• Effective collaborator: Works seamlessly with BI developers, data and AI/ML engineers, and business stakeholders
• Leads by influence: Drives technical direction through evidence and example rather than authority, * Player-coach: Balances hands-on building with mentoring and code review; takes on the hardest problems
• Quality-focused: Builds reliability, security, and testing in from the start
• Ownership: Drives applications from design through deployment and continuous improvement

The base pay range for this position is $152,000-202,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on October 2nd, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

This role will require in-person attendance for New Hire Orientation on Day 1.

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.