
10,000+ employees
🏭 Manufacturing
🎖️ Defense
💼 Consulting
Manufacturing • Defense • Consulting
GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.
🔥 0 minutes ago
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10,000+ employees
🏭 Manufacturing
🎖️ Defense
💼 Consulting
Manufacturing • Defense • Consulting
GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.
• Design, build, and maintain end-to-end software and data solutions across cloud and distributed environments • Collaborate with cross-functional teams to deliver solutions aligned with enterprise architecture, shared platforms, and product priorities • Contribute to technical architecture decisions involving scalability, security, maintainability, and performance trade-offs • 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 that improve products, platforms, and engineering practices
• 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 frameworks such as Angular or React • Experience with backend development using technologies such as Python, Java, and related frameworks • Experience designing or supporting data pipelines, ETL/ELT processes, and integrations • Familiarity with CI/CD, automated testing, containerization, and cloud-native tools such as Git, Docker, Kubernetes, Gradle, or Maven • Understanding of secure engineering practices and compliance considerations in enterprise environments • Experience with AI/ML deployment, integration, or monitoring • Experience with API orchestration, MCP-based integrations, or connected system architectures • Knowledge of technical data domains and enterprise data architecture • Supply chain domain experience • Ability to work effectively across teams, communicate clearly, and adapt to changing priorities
• Home-based work arrangement • Relocation assistance not provided
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