Sr. Software Engineer

PatientPoint•Cincinnati, OH

5d•Remote

About The Position

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. Sr. Software Engineer PatientPoint Network Solutions LLC in Cincinnati, OH seeks Sr. Software Engineer. Design and implement backend systems and APIs, including the management of infrastructure, methodologies, processes, and tool stacks. Event-Driven Microservices: Contribute to the development and optimization of event-driven microservices development, ensuring efficient and reliable message processing. NoSQL Databases: Utilize MongoDB to design 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. Streaming Technologies: Implement and manage data streaming solutions using 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 with various AI/ML models for content search and enrichment use cases. Apply Twelve-Factor App methodology for building applications to enable portability and resilience when deployed to the web. Utilize appropriate data structures, algorithms, design principles, patterns, and concurrency models when developing software. Create test harness/infrastructure/test cases/Automation geared towards ensuring the quality of the product. Travel: Must travel to headquarter office for team project meets lasting a week about 1-2 times per year. 100% telecommuting from home allowed from anywhere in the United States.

Requirements

Bachelor’s Degree in Computer Science or a related field
5 years of experience in the job offered or in a related field
4 years of experience with Core Spring Framework modules, including Spring Core (IoC, DI), Spring MVC, and Spring Data JPA, as well as building RESTful APIs using Spring Boot
3 years of experience in developing products using microservices-based architectures
3 years of hands-on work in AWS and Azure public cloud solutions, collectively
2 years of experience with PostgreSQL or MySQL
2 years of experience with data modeling using a Relational Database Management System (RDBMS)
2 years of experience with software development with Python 3.10 or higher
2 years of experience with real-time data streaming technology, specifically using Kafka
1 year of experience with packaging, orchestrating, and managing containerized services on Amazon EKS and Azure AKS
1 year of experience with MongoDB databases
1 year of experience with software development with Java 21
1 year of experience with AI and machine learning frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-learn
1 year of experience with OAuth2, OpenID Connect, SAML protocols and encryption technologies
Experience with data privacy and security principles
Experience with Continuous Integration and Continuous Deployment using Jenkins, Docker & Kubernetes
Experience with twelve-factor app methodology when building applications/services

Nice To Haves

Must travel to headquarter office for team project meets lasting a week about 1-2 times per year.

Responsibilities

Design and implement backend systems and APIs, including the management of infrastructure, methodologies, processes, and tool stacks.
Contribute to the development and optimization of event-driven microservices development, ensuring efficient and reliable message processing.
Utilize MongoDB to design and implement data storage solutions that meet high-performance requirements.
Create and maintain RESTful and GraphQL APIs to support various applications and services, ensuring high performance and security.
Implement and manage data streaming solutions using Apache Kafka to process and analyze real-time data.
Leverage AWS, Azure services to build, deploy, and manage multi cloud-based applications, ensuring scalability and reliability.
Ensure that all software solutions adhere to security standards and compliance requirements, incorporating best practices for data protection and risk management.
Integrate with various AI/ML models for content search and enrichment use cases.
Apply Twelve-Factor App methodology for building applications to enable portability and resilience when deployed to the web.
Utilize appropriate data structures, algorithms, design principles, patterns, and concurrency models when developing software.
Create test harness/infrastructure/test cases/Automation geared towards ensuring the quality of the product.