Sr Software Engineer

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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.

• Design, build, and maintain 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.
• 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 solutions align with both technical and data strategies.
• Develop high‑quality distributed system software, incorporating modern cloud, edge, and data‑driven approaches.
• Take ownership of the implementation of individual software components, with a strong emphasis on quality, test‑driven development, 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.
• Leverage Generative AI (Gen AI) and Large Language Models (LLMs) to drive agile development and releases, enhancing the speed and quality of software delivery.

• Bachelor’s degree in Computer Science or related discipline.
• 8+ years of professional software development experience with a history of technical innovation.
• 3+ years of experience 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) for new and existing systems.
• Experience providing technical leadership to engineers, leading an engineering team, and/or mentorship.

• 8+ years of experience including 3+ years 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 designing/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 production availability, conversion automation, distributed computing, large‑scale system design.
• Experience 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 building, tracking, and communicating plans within Agile processes.
• Excellent technical problem‑solving skills and aptitude to learn new technologies and methodologies.

We value a healthy work‑life balance. Our flexible schedule allows you to be productive and well‑balanced both in and outside of work.

We maintain diverse engineering and leadership perspectives and backgrounds across technology and beyond. Team members are encouraged to set up mentorship relationships with seasoned engineers, not only within our team but also across the broader GE Health Care population.

We embrace our differences and are committed to furthering our culture of inclusion. We have many…