Senior Member of Technical Staff

Job Description

As a Senior Member of Technical Staff, you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike.

• Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.
• Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform’s architecture.
• Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.
• Implement data modeling and database design to support complex healthcare data structures and relationships.
• Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.
• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and Rabbit
  
  MQ for efficient data flow.
• Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.
• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
• Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.
• 3 years of relevant software development experience, with a focus on backend and data-centric applications.
• Proficient in Java, Python, or similar object‑oriented languages for building robust backend systems.
• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.
• Hands‑on experience with cloud‑native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.
• In‑depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data‑access controls.
• Proficiency in Oracle Database and search technologies such as Open search, Pinecone, and Oracle Golden Gate Replication.
• Experience with data pipeline orchestration using tools like Kafka, Flink, and Rabbit
  
  MQ.
• Understanding of system design and distributed systems architecture best practices.
• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
• Excellent communication skills for conveying complex technical concepts to both technical and non‑technical stakeholders.
• Demonstrated technical leadership and a passion for mentoring junior team members.

• Be part of a groundbreaking initiative to modernize and automate patient‑centric healthcare globally.
• Work with cutting‑edge AI and cloud technologies, pushing the boundaries of what’s possible in healthcare.
• Enjoy a collaborative and dynamic team environment that values innovation and creativity.
• Competitive compensation and benefits package, including professional development opportunities.
• Make a meaningful impact on the lives of patients and healthcare providers worldwide.

US:
Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity.

Range and benefit information provided in this posting are specific to the stated locations only.