Principal Engineer

PatientPoint•Cincinnati, OH

11h•$190,000 - $210,000•Remote

About The Position

PatientPoint Network Solutions LLC seeks a Principal Engineer to design, develop, and lead scalable cloud-native software solutions, including AI/ML-powered full-text and vector search services, event-driven microservices, distributed data-processing pipelines, and high-performance NoSQL storage and streaming systems. The role uses Java, Python, Lucene, AWS, Azure, Kafka, and other technologies to build secure APIs and real-time data solutions. The position is 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 sets long-term technology strategies, significantly influences engineering standards and processes, mentors teams, and designs systems and frameworks with lasting value. The role also decomposes complex projects into work that less experienced engineers can build and maintain; supports technical audits and implements recommendations; maintains solution design documentation; promotes a security-first engineering culture; and applies Twelve-Factor App principles to build portable, resilient applications. The engineer partners 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 offered role or a related field. The stated salary range 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 data modeling using an RDBMS and 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, Ohio headquarters for company and team meetings, at least five times a year for three to four days at a time.

Responsibilities

Design, architect, and develop resilient, scalable, cloud-native software solutions using AI/ML, Lucene, vector search, Java, Python, AWS, and event-driven microservices.
Lead development and optimization of event-driven microservices architectures for efficient, fault-tolerant, and reliable message processing.
Design NoSQL data models and storage solutions using technologies such as DynamoDB, Cassandra, and MongoDB to meet high-performance requirements.
Create and maintain secure, high-performance RESTful and GraphQL APIs.
Build real-time and batch-oriented, distributed data-processing pipelines using Spring Batch, Apache Kafka, Spark, and Snowflake.
Implement and manage streaming solutions, including Apache Kafka, to process and analyze real-time data.
Use AWS and Azure services to build, deploy, and manage scalable, reliable multi-cloud applications.
Ensure software solutions meet 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.
Decompose complex projects into discrete systems that less experienced engineers can build and maintain.
Design and implement systems and frameworks that deliver 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 establish 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 and help ensure systems are robust and maintainable.