Principal Engineer

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

PatientPoint Network Solutions LLC in Cincinnati, OH seeks Principal Engineer. Design and development of scalable, AI/ML-powered full-text and vector search services using Java, Python, Lucene, and event-driven microservices, distributed data processing pipelines on multi-cloud platforms (AWS, Azure). Architect high-performance No

SQL data storage and streaming solutions (Kafka, Kinesis), develop secure RESTful and GraphQL APIs, build realtime data pipelines, and enforce security best practices. Drive long-term technology strategies, mentor engineering teams, and ensure maintainable, robust systems aligned with Twelve-Factor App principles and compliance standards. Architect and Develop:
Design, architect, and develop resilient, scalable, cloud-native, and cutting-edge software solutions leveraging AI/ML, Lucene, Vector search, Java, Python, AWS, and event-driven microservices. Event-Driven Microservices:
Lead the development and optimization of event-driven microservices architectures, ensuring efficient, fault-tolerant, and reliable message processing. No

SQL Databases:
Utilize No

SQL databases (e.g., DynamoDB, Cassandra, MongoDB) to design data models and implement data storage solutions that meet high-performance requirements. API Development:
Create and maintain RESTful and GraphQL APIs to support various applications and services, ensuring high performance and security. Distributed Data Processing:
Build real-time, batch-oriented data pipelines to process high volume of data leveraging Spring Batch, Apache Kafka, Spark and Snowflake. Streaming Technologies:
Implement and manage data streaming solutions using technologies such as Apache Kafka to process and analyze real-time data. Multi Cloud Solutions:
Leverage AWS, Azure services to build, deploy, and manage multi cloud based applications, ensuring scalability and reliability. Security and Compliance:
Ensure that all software solutions adhere to security standards and compliance requirements, incorporating best practices for data protection and risk management. Integrate and optimize AI/ML models for real-time applications and services. Deconstruct complex projects into discrete systems that can be effectively built and maintained by less experienced engineers. Design and implement systems and frameworks that can provide long term value to the company and its engineering functions.

Develop long-term domain/technology strategies and significantly influence the processes and standards associated with the use of the tools or applications supported. Assist in technical audits and make sure to implement audit recommendations. Ensure that technical documentation for solution designs is created and maintained. Build Security First culture and guidelines for all engineers. Apply the Twelve-Factor App methodology for building applications to enable portability and resilience when deployed to the web.

Expert level knowledge of data structures, algorithms, design principles, patterns, and concurrency models. Work with the application development teams to implement data strategies, build data flows, and develop conceptual data models.

Travel: 10% travel is required to headquarters (Cincinnati, OH) for company and team meetings at least 5 times a year for 3-4 days at a time. 100% telecommuting from home allowed from anywhere in the United States.

Must possess a Bachelor's Degree, or…