
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.
🔥 1 minute ago
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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.
• Design, build, and maintain end-to-end software and data solutions across cloud and distributed environments • Collaborate with cross-functional teams on enterprise architecture, shared platforms, and product priorities • Contribute to technical architecture decisions involving scalability, security, maintainability, and performance • Develop and optimize data pipelines, integrations, APIs, and application services • Support AWS-based application, data, and AI/ML workloads, including orchestration, monitoring, and security • Integrate AI/ML capabilities into products and business workflows, including model deployment, inference pipelines, and monitoring • Partner with DevOps teams to improve CI/CD, automation, observability, and operational resilience • Write clean, secure, and maintainable code across frontend, backend, and data layers • Troubleshoot production issues, identify root causes, and implement durable fixes • Support security, compliance, and governance requirements, including NIST, GDPR, and SOX where applicable • Stay current on emerging technologies and contribute ideas to improve products, platforms, and engineering practices • Work with system engineers, data engineers, AI/ML specialists, frontend developers, and platform teams • Travel occasionally as needed for business and team collaboration
• Bachelor’s degree in Computer Science or a STEM field • Relevant working experience in software engineering, data engineering, or related technical roles • Experience with cloud platforms, preferably AWS • Experience with frontend technologies such as JavaScript, HTML5, CSS, and Angular or React • Experience with backend development using Python, Java, and related frameworks • Experience designing or supporting data pipelines, ETL/ELT processes, and integrations • Familiarity with CI/CD, automated testing, containerization, Git, Docker, Kubernetes, Gradle, or Maven • Understanding of secure engineering practices and compliance considerations in enterprise environments • Preferred: Experience with AI/ML deployment, integration, or monitoring • Preferred: Experience with API orchestration, MCP-based integrations, or connected system architectures • Preferred: Knowledge of technical data domains and enterprise data architecture • Preferred: Supply chain domain experience • Preferred: Ability to work effectively across teams, communicate clearly, and adapt to changing priorities
• Home-based/remote work arrangement • Relocation assistance not provided
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