Principal Engineer

PatientPoint
Cincinnati, OH
On-site

Who this role is best for

Geared toward experienced engineers comfortable with cloud-native and AI/ML-powered systems, this role emphasizes collaboration with application development teams and a strong focus on security and compliance. It is ideal for candidates with a background in distributed data processing and a preference for hybrid work arrangements.

Best fit for

  • Candidates with a background in cloud-native development and a history of mentoring engineering teams
    — “Drive long-term technology strategies, mentor engineering teams”
  • Engineers with a strong grasp of real-time data pipelines and event-driven architectures
    — “Lead the development and optimization of event-driven microservices architectures”
  • Individuals with a proven ability to deconstruct complex systems for scalable, maintainable solutions
    — “Deconstruct complex projects into discrete systems that can be effectively built”

Things to consider

  • The role requires up to 10% travel to Cincinnati for meetings, even though remote work is allowed
    — “10% travel is required to headquarters (Cincinnati, OH)”
  • Candidates must meet very specific technical requirements with years of experience in multiple domains
    — “Must possess a Bachelor’s Degree, or foreign equivalent, in Computer Science”

How to stand out

  • Highlight long-term contributions to cloud-native and AI/ML systems in your resume and interviews
    — “Architect and Develop: Design, architect, and develop resilient, scalable, cloud-native”
  • Emphasize your experience in building and managing real-time distributed data pipelines
    — “Build real-time, batch-oriented data pipelines using Spring Batch, Apache Kafka”
  • Showcase your ability to lead and mentor teams, as well as implement security-first practices
    — “Mentor engineering teams, and ensure maintainable, robust systems”
  • Demonstrate your expertise in multi-cloud environments and container orchestration
    — “Leverage AWS, Azure services to build, deploy, and manage multi cloudbased applications”
  • Demonstrate your ability to integrate AI/ML models into real-time applications
    — “Integrate and optimize AI/ML models for real-time applications”
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • high-performing systems
  • secure and compliant solutions
Typical background
software engineering experience

Skills & requirements

Required

JavaPythonMicroservicesCloud PlatformsAPI DevelopmentData ProcessingStreaming TechnologiesSecurity

Preferred

Ai/mlLuceneGraphQL

Stack & domain

JavaPythonLuceneEvent-driven MicroservicesNosql DatabasesRestful And Graphql ApisDistributed Data Processing PipelinesApache KafkaAWSAzureArchitectureMentorshipSecurity Best PracticesCompliance StandardsAi/mlCloud-nativeDigital Health

About the role

Original posting from PatientPoint via Greenhouse

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.

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

About PatientPoint: 

PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com. 

Latest News & Innovations: 

Why is PatientPoint a Best Place to Work! Read More

Teammate Honored as "Top Woman in Tech". Read More

Recognized on Vault’s Top Internship List. Read More

What We Offer: 

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Source: PatientPoint careers (Greenhouse)

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