Software Developer 4

OracleUnited States,
$99,600 - $234,600

About The Position

As a Principal 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.

Requirements

  • BS or MS degree in Computer Science or a related field is required, with a strong academic background.
  • 6+ years of relevant software development experience, with a focus on backend and data-centric applications.
  • Proficient in Java, Python, or similar object-oriented languages
  • Expertise in web front-end technologies such as React, Preact, Ruby, Ruby on Rails, JavaScript, Oracle JET, etc.
  • 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 Opensearch, Pinecone, and Oracle Golden Gate Replication.
  • Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ.
  • 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.

Responsibilities

  • 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.
  • 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 RabbitMQ 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.

Benefits

  • Competitive compensation and benefits package, including professional development opportunities.
  • flexible medical, life insurance, and retirement options.
  • volunteer programs.
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