Software Developer, Software Engineer, Cloud Engineer - Software

Responsibilities

• Design and implementation of managing application settings across different environment, ensuring it is scalable, secure, and optimized for AI-driven applications.
• Collaborate closely with cross functional teams, 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.
• Experience building RESTful or gRPC services; API design, pagination, error handling, and observability.
• Define and develop software for tasks associated with the developing, debugging or designing of software applications or operating systems.
• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
• Provide technical leadership to other software developers. Specify, design and implement changes to existing software architecture to meet changing needs.
• Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance our platforms.

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.
• Must be U.S. citizen and be able to obtain a security clearance once hired
• 2+ 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.
• 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.