GE HealthCare Principal Software Engineer 

United States, Washington, Bellevue 

95804532

Roles/Responsibilities

• Responsible for designing, building, and maintaining a scalable and efficient Data Fabric architecture that supports the organization’s strategic goals.
• Data Strategy Development: Formulate and implement a strategic vision for data architecture aligned with business objectives.
• Data Modeling: Create conceptual, logical, and physical data models to meet business needs, ensuring data integrity and scalability.
• Data Governance and Compliance: Ensure adherence to data governance policies and regulatory requirements to maintain data security and privacy.
• Technology Evaluation: Assess and recommend new technologies and methodologies to enhance data management processes.
• Collaborate with the team to solve complex business problems, ensuring that solutions align with both technical and data strategies.
• Develop high-quality distributed system software, incorporating modern cloud, edge, and data-driven approaches.
• Work closely with architects and technical product managers to translate overall system architecture, product requirements, and data strategy into well-designed and implemented software components.
• Take ownership of the implementation of individual software components, with a strong emphasis on quality, test-driven development, sound software engineering practices, and data integrity.
• Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team, ensuring alignment with technical and data strategies.
• Design, implement, test, deploy, and maintain innovative software solutions to enhance service performance, durability, cost efficiency, security, and data utilization.
• Utilize software engineering best practices to ensure a high standard of quality for all team deliverables, while also ensuring that data strategies are effectively implemented and maintained.
• Leverage Generative AI (Gen AI) and Large Language Models (LLMs) to drive agile development and releases, enhancing the speed and quality of software delivery.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related discipline
• 8+ years of professional software development experience with history of technical innovation
• 3+ years of experience with building scalable, distributed systems using modern frameworks such as AWS, Azure or GCP
• 2+ years of leading design or architecture (design patterns, reliability, and scaling) of new and existing systems experience
• Experience providing technical leadership to engineers, leading an engineering team, and / or mentorship.

• 9+ years of experience including 3+ experience with big data systems, analytics, containerized microservices, serverless functions, and event-driven architecture
• Master’s or PhD degree in Computer Science, Computer Engineering, or related field
• Experience with design/architecting large-scale distributed systems preferably using AWS technologies
• 2+ years working directly with end customers to assess needs, identify solutions, and constructively resolve disagreements
• Bring fresh ideas from all areas, including testing and validation automation while maintaining the production availability, conversion automation, distributed computing, large-scale system design
• Experience with supporting production software deployments
• Technical expertise across all deployment models on public cloud, and on-premises infrastructure
• Experience creating, documenting, and communicating software architectures for complex products
• Experience in building, tracking, and communicating plans within Agile processes
• Excellent technical problem-solving skills and aptitude to learn new technologies and methodologies