Principal Engineer

PatientPoint•Cincinnati, OH

3d•$190,000 - $210,000•Remote

About The Position

PatientPoint Network Solutions LLC seeks a Principal Engineer to design and develop scalable, cloud-native software and AI/ML-powered full-text and vector search services. The role involves building event-driven microservices, distributed data-processing pipelines, high-performance NoSQL storage and streaming solutions, and secure RESTful and GraphQL APIs across AWS and Azure. The position is authorized for 100% telecommuting from anywhere in the United States, with 10% travel to the Cincinnati, Ohio headquarters for company and team meetings at least five times a year, for three to four days at a time. The Principal Engineer drives long-term technology strategies, mentors engineering teams, and ensures systems are robust, maintainable, secure, and aligned with Twelve-Factor App principles and compliance standards. The role includes integrating and optimizing AI/ML models for real-time services, designing systems and frameworks with long-term value, influencing engineering processes and standards, supporting technical audits, maintaining solution-design documentation, and promoting a security-first culture. The engineer also works with application development teams on data strategies, data flows, and conceptual data models. The position requires a bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, and five years of experience in the job offered or a related field. The annual salary is $190,000 to $210,000.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field.
Five years of experience in the job offered or a related field.
Experience with SaaS, PaaS, and IaaS, including three years of hands-on work with public cloud solutions.
Three years of experience with RDBMS data modeling using PostgreSQL.
Three years of experience developing products using microservices-based architectures.
Three years of experience building real-time distributed data-processing pipelines using Spring Batch, Apache Kafka, and Spark.
Three years of experience with OAuth2, OpenID Connect, SAML protocols, and encryption technologies.
Three years of experience packaging, orchestrating, and managing containerized services on Amazon EKS or Azure AKS.
Two years of software development experience with Python 3.10.
Two years of experience with Spring Core (IoC, DI), Spring MVC, Spring Data JPA, and building RESTful APIs using Spring Boot.
Two years of experience with real-time, fault-tolerant distributed data streaming using Apache Kafka.
Two years of experience building search solutions using Elasticsearch.
One year of software development experience with Java 17 or higher.
One year of experience with MongoDB NoSQL Database.
Experience with data privacy and security principles.
Experience applying Twelve-Factor App methodology when building applications and services.
Experience with continuous integration and continuous deployment using Jenkins, GitHub Actions, Docker, Kubernetes, and ArgoCD.
Expert-level knowledge of data structures, algorithms, design principles, patterns, and concurrency models.
Ability to travel 10% to the Cincinnati headquarters, at least five times annually for three to four days per visit.

Responsibilities

Design, architect, and develop resilient, scalable, cloud-native software solutions leveraging AI/ML, Lucene, vector search, Java, Python, AWS, and event-driven microservices.
Lead development and optimization of event-driven microservices architectures to ensure efficient, fault-tolerant, reliable message processing.
Design NoSQL data models and storage solutions to meet high-performance requirements, using technologies such as DynamoDB, Cassandra, and MongoDB.
Create and maintain high-performance, secure RESTful and GraphQL APIs.
Build real-time and batch-oriented distributed data pipelines using Spring Batch, Apache Kafka, Spark, and Snowflake.
Implement and manage streaming solutions, including Apache Kafka, for real-time data processing and analysis.
Use AWS and Azure services to build, deploy, and manage scalable, reliable multi-cloud applications.
Ensure software solutions adhere to security standards and compliance requirements, applying data-protection and risk-management best practices.
Integrate and optimize AI/ML models for real-time applications and services.
Break complex projects into discrete systems that less experienced engineers can effectively build and maintain.
Design and implement systems and frameworks that provide long-term value to the company and its engineering functions.
Develop long-term domain and technology strategies and influence processes and standards for supported tools and applications.
Assist with technical audits and implement audit recommendations.
Create and maintain technical documentation for solution designs.
Build a security-first culture and guidelines for engineers.
Apply Twelve-Factor App methodology to build portable and resilient web applications.
Work with application development teams to implement data strategies, build data flows, and develop conceptual data models.
Mentor engineering teams.