Tech Team Lead / Senior Development Engineer

Company Description

LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.

Responsibilities

• Design, develop, and optimize cloud-based data processing pipelines for EEG and other neurological data, including data upload, transformation, storage, and retrieval.
• Develop and maintain backend services, including user authentication, account management, billing, and payment processing.
• Implement and improve inter-regional cloud communication for real-time data synchronization and processing.
• Optimize system performance and ensure high availability, reliability, and security of cloud-based services.
• Collaborate with front-end engineers, data scientists, and medical researchers to develop seamless end-to-end workflows.
• Ensure compliance with industry standards and healthcare regulations (e.g., HIPAA, HL7, FDA requirements).
• Automate deployment and monitoring through CI/CD pipelines, logging, and real-time analytics.

Basic Qualifications

• 8+ years of experience in backend software development.
• Strong proficiency in Java, Spring Framework, Hibernate, and relational/no-SQL databases (PostgreSQL, MySQL, MongoDB, or similar).
• Experience designing RESTful APIs and working with microservices architectures.
• Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with DevOps tools (e.g., Docker, Kubernetes, Terraform, CI/CD pipelines).
• Strong knowledge of algorithm design, data structures, and distributed computing concepts.
• Familiarity with security best practices in cloud-based applications.
• BS degree in Computer Science, Electrical Engineering, or a related technical field.

Preferred Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience in healthcare IT or medical device software development, especially working with standards like HL7, DICOM, or FHIR.
• Experience in real-time data streaming and event-driven architectures (e.g., Kafka, RabbitMQ, or Apache Pulsar).
• Hands-on experience with machine learning model deployment and optimization for commercial use.
• Experience with infrastructure as code (IaC) tools such as Terraform, Ansible.
• Strong understanding of ETL pipelines and large-scale data processing frameworks (e.g., Apache Spark, Apache Flink).
• Familiarity with regulatory requirements for AI-based medical devices (FDA, CE, MDR, etc.).
• Experience in technical product management (PM) or product ownership (PO), particularly in cloud-based SaaS products.
• Ability to define product requirements and collaborate with cross-functional teams (engineering, business, and clinical teams) to align technical development with business goals.
• Experience with Agile methodologies (Scrum, Kanban) and tools such as Jira, Confluence for backlog management and sprint planning.
• Proven ability to prioritize features, manage roadmaps, and drive development cycles for complex software products.
• Experience working with medical professionals and translating their needs into scalable software solutions.