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The Role
Lead software engineering across full-stack applications, AWS cloud platforms, data pipelines, APIs, and AI/ML integrations. Responsibilities include architecture decisions, secure and scalable development, CI/CD, observability, production troubleshooting, and compliance support. The role collaborates with engineering, data, AI/ML, frontend, DevOps, and platform teams to deliver resilient enterprise solutions.
Summary Generated by Built In
Job Description SummaryWe are seeking a versatile software engineer with experience across full-stack development, technical architecture, and data engineering to help deliver scalable, secure, and modern digital solutions. In this role, you will work closely with system engineers, data engineers, AI/ML specialists, frontend developers, and platform teams to build and enhance shared platforms, data pipelines, and intelligent applications that align with enterprise architecture and business priorities.
This role is ideal for someone who is comfortable moving across application development, cloud-native design, and data workflows, while contributing to secure and compliant engineering practices.This role is home-based, preferably located in Germany, and requires occasional travel as needed for business and team collaboration. This role is intended for candidates with hands-on production AWS engineering experience. Experience limited to coursework, internships, or personal projects alone is not sufficient. Candidates should have demonstrated ownership of systems in production environments.Job Description
#LI-Remote - This is a remote position
This role is ideal for someone who is comfortable moving across application development, cloud-native design, and data workflows, while contributing to secure and compliant engineering practices.This role is home-based, preferably located in Germany, and requires occasional travel as needed for business and team collaboration. This role is intended for candidates with hands-on production AWS engineering experience. Experience limited to coursework, internships, or personal projects alone is not sufficient. Candidates should have demonstrated ownership of systems in production environments.Job Description
Key Responsibilities
- 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, including 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 standards such as NIST, GDPR, and SOX where applicable.
- Stay current on emerging technologies and contribute ideas that improve products, platforms, and engineering practices.
Required Qualifications
- Master’s degree in Computer Science or a STEM field.
- Relevant working experience in software engineering, data engineering, or related technical roles.
- Must have hands-on experience with Lambda, S3, API Gateway, ECS/EKS, IAM, CloudWatch, Step Functions.
- 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.
Preferred Qualifications
- 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.
We are an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment where everyone is respected, valued, and able to contribute fully.
Relocation Assistance Provided: No
Skills Required
- Master's degree in Computer Science or a STEM field
- Relevant working experience in software engineering, data engineering, or related technical roles
- Hands-on production experience with AWS Lambda, S3, API Gateway, ECS or EKS, IAM, CloudWatch, and Step Functions
- Frontend development experience with JavaScript, HTML5, CSS, and Angular or React
- Backend development experience using Python, Java, and related frameworks
- Experience designing or supporting data pipelines, ETL/ELT processes, and integrations
- Familiarity with CI/CD, automated testing, containerization, and tools such as Git, Docker, Kubernetes, Gradle, or Maven
- Understanding of secure engineering practices and enterprise compliance considerations
- 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
GE Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Aerospace and has not been reviewed or approved by GE Aerospace.
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Healthcare Strength — Health coverage spans medical, dental, vision, prescription drugs, behavioral health support, and some on‑site healthcare options. Wellbeing programs emphasize physical, emotional, and social support and are often characterized as part of a top‑notch package.
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Retirement Support — Retirement programs include a 401(k) with company contributions, long‑term financial planning tools, and vesting provisions. Legacy pension benefits remain for eligible employees despite the plan being frozen.
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Leave & Time Off Breadth — Time‑off offerings include paid vacation, holidays, sick time, personal days, and flexible work arrangements, with permissive PTO noted for some salaried roles. Family support includes generous parental leave and adoption assistance.
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