Sr Staff Software Engineer

GE HealthCare

2d•Hybrid

About The Position

As Senior Staff Software Engineer, you’ll work closely with architects and technical product managers to translate overall system architecture and product requirements into well-designed and implemented software components. You’ll take ownership of the implementation of individual software components, with high emphasis on quality, test-driven development, and sound software engineering practices - using software engineering best practices to ensure a high standard of quality for all the team deliverables. 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. Our teams are based in the US.

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

8+ 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

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.