JOB DESCRIPTION SUMMARY

As a Senior Staff Software Engineer, you’ll work on the cutting edge of cloud technology as you scope and lead complex technical projects, laying the groundwork for early-stage products to iterate and scale. 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 lead the design and development of cloud-native services that deliver computing capabilities—including servers, databases, storage, networking, analytics, and intelligence—over the Internet and at the edge. You’ll collaborate across teams to build high-performance, scalable, and secure systems that meet customer needs and drive innovation.
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) 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.
This role is located in Bellevue, WA working on a hybrid basis, with 3 days/week in the office.

REQUIRED QUALIFICATIONS:

• Bachelor’ s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
• 10 years of experience.

• Design and implement distributed systems and services across public cloud and edge environments, focusing on performance, scalability, and reliability.
• Provide technical direction and mentorship to engineering teams. Lead design and code reviews, and promote engineering best practices.
• Work with product managers, architects, and infrastructure teams to translate customer requirements into robust cloud-based solutionsCloud-Native Development
• Build services using modern cloud technologies (e.g., AWS Lambda, ECS, S3, DynamoDB, Azure Functions, GCP Cloud Run), emphasizing microservice, containerization, and event-driven architectures.
• Engineer systems for low latency, high throughput, and efficient resource utilization. Use profiling, benchmarking, and telemetry to continuously improve service performance.
• Implement secure coding practices, integrate with IAM and encryption services, and design for fault tolerance and disaster recovery.
• AI-Driven Development
  Leverage Generative AI tools to accelerate development cycles, improve code quality, and enhance developer productivity.