Principal - Software Engineer

General Electric Company

• $152K — $202K *
US-AnywhereRemote in United States
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 8+ years experience in full-stack application development
  • Strong knowledge of front-end and back-end technologies
  • Experience with AI integration and machine learning models
  • Familiarity with cloud hosting and data platforms like AWS and Snowflake
  • Proficient in CI/CD and application development best practices

Responsibilities

  • Design and maintain full-stack applications throughout the software lifecycle
  • Build responsive front-end and cloud-deployed back-end services
  • Optimize application performance and manage incident response
  • Embed AI features such as predictive insights and conversational interfaces
  • Model domain knowledge using knowledge graphs and ontologies
  • Integrate machine learning models into production applications
  • Mentor junior engineers and lead complex application projects

Benefits

  • Comprehensive medical, dental, vision, and prescription coverage
  • 401(k) plan with matching contributions
  • Tuition assistance and adoption assistance programs
  • Paid parental leave and disability insurance
  • Access to wellness resources and employee assistance programs
Full Job Description
Job Description Summary
The Commercial Engine Services (CES) Business Intelligence (BI) team is building the next generation of analytics and AI-powered applications for supply chain and operations. We are looking for a Principal Software Engineer to design and build full-stack applications to turn operational data into AI-driven decision tools that predict, recommend, and act to drive business outcomes.

This is a hands-on, senior individual-contributor role: you'll shape our AI application strategy, build front-end and back-end services, embed AI features into production products, and create new products to solve our hardest problems. You'll partner with our BI developers and platform architect, and lead our junior software engineers to deliver high-quality solutions our business stakeholders can count on.

Job Description

Roles and Responsibilities:


Application Development & Delivery

  • 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

 

Required Qualifications:

  • 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

Personal Attributes


  • 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. 


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

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

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