Principal Engineer

Principal Engineer

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 NoSQL 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. NoSQL Databases: Utilize NoSQL 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 cloudbased 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 foreign equivalent, in Computer Science, Computer Engineering or a related field and 5 years of experience in the job offered or a related field. Must possess experience with SaaS, PaaS, and IaaS with 3 years of hands-on work in public cloud solutions. Must possess 3 years of experience with: (1) Data modeling using a Relational Database Management System (RDBMS) using PostgreSQL; (2) Developing products using microservices-based architectures; (3) Building real-time distributed data processing pipelines using Spring Batch, Apache Kafka, and Spark; (4) OAuth2, OpenID Connect, SAML protocols, and encryption technologies; and (5) Packaging, orchestrating, and managing containerized services on Amazon EKS or Azure AKS. Must possess 2 years of experience with: (6) Software development experience with Python 3.10; (7) Core Spring Framework modules, including Spring Core (IoC, DI), Spring MVC, and Spring Data JPA, as well as building RESTful APIs using Spring Boot; (8) Real-time fault-tolerant distributed data streaming technology, specifically using Apache Kafka; and (9) Building search solutions using Elasticsearch. Must possess 1 year of experience with: (10) Software development experience with Java 17 or higher; and (11) MongoDB NoSQL Database. Must possess experience with: (12) Data privacy and security principles; (13) Twelve-factor app methodology when building applications and services; and (14) Continuous Integration and Continuous Deployment using Jenkins, Github Actions, Docker, Kubernetes and ArgoCD.

Salary: $190,000 to $210,000