About the position
As a Principal Engineer, you will play a pivotal role in shaping the technical and data strategies across multiple teams within the organization. You will collaborate closely with architects and technical product managers to translate overarching system architecture and product requirements into cohesive, high-quality software solutions. In this role, you will drive the design and implementation of a Data Fabric architecture for Clinical Data, including Patient and Hospital data and images. Your leadership will emphasize quality, test-driven development, and adherence to sound software engineering practices, using industry best practices to maintain a high standard of excellence across all team deliverables. Additionally, you will leverage Generative AI (Gen AI) and Large Language Models (LLMs) to drive agile development and releases. At GE Healthcare, we are committed to bringing cloud-based solutions for our customers: all aspects of computing services across the cloud and edge – including servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
Responsibilities
- Responsible for designing, building, and maintaining a scalable and efficient Data Fabric architecture that supports the organization’s strategic goals.
- Formulate and implement a strategic vision for data architecture aligned with business objectives.
- Create conceptual, logical, and physical data models to meet business needs, ensuring data integrity and scalability.
- Ensure adherence to data governance policies and regulatory requirements to maintain data security and privacy.
- 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.
- 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.
- 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.
Requirements
- 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.
Nice-to-haves
- 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.
- 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.
Benefits
- Medical, dental, vision insurance.
- Paid time off.
- 401(k) plan with employee and company contribution opportunities.
- Life, disability, and accident insurance.
- Tuition reimbursement.
- Relocation assistance.
