About the position
Join PatientPoint to be part of a dynamic team committed to empower better health. 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. PatientPoint Network Solutions, LLC dba PatientPoint in Cincinnati, OH seeks Principal Software Engineer. Architect and Develop: Design, architect, and develop resilient, scalable, and cutting-edge software solutions, leveraging AI/ML, Java, Python, JavaScript on cloud platforms. Event-Driven Microservices: Lead the development and optimization of event-driven microservices architectures, ensuring efficient and reliable message processing. NoSQL Databases: Utilize NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB) to design and implement data storage solutions that meet high-performance and scalability requirements. API Development: Design and implement RESTful and GraphQL APIs to support various applications and services, ensuring loose coupling and security. Streaming Technologies: Implement and manage data streaming solutions using technologies such as Apache Kafka, AWS Kinesis, or similar platforms to process and analyze real-time data. Multi Cloud Solutions: Leverage AWS, Azure, GCP 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. Implement and optimize AI/ML models for content categorization and tagging. Deconstruct complex projects into discrete systems that can be effectively built and maintained by other members of the team. Design and implement systems and frameworks that can provide long term value to the company and its engineering function. Develop long-term life sciences technology strategies and significantly influence the processes and standards associated with the use of the tools or applications supported. Assist in security and compliance audits and make sure to implement audit recommendations. Ensure technical documentation for solution designs is created and maintained. Build Security First culture and guidelines for all engineers. Apply 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. Create test harness/infrastructure/test cases/automation geared towards ensuring the quality of the product. Work with the application development team to implement data strategies, build data flows, and develop conceptual data models.
Responsibilities
- Design, architect, and develop resilient, scalable, and cutting-edge software solutions.
- Lead the development and optimization of event-driven microservices architectures.
- Utilize NoSQL databases to design and implement data storage solutions.
- Design and implement RESTful and GraphQL APIs.
- Implement and manage data streaming solutions using technologies such as Apache Kafka and AWS Kinesis.
- Leverage AWS, Azure, GCP services to build, deploy, and manage multi cloud-based applications.
- Ensure that all software solutions adhere to security standards and compliance requirements.
- Implement and optimize AI/ML models for content categorization and tagging.
- Deconstruct complex projects into discrete systems.
- Design and implement systems and frameworks for long term value.
- Develop long-term life sciences technology strategies.
- Assist in security and compliance audits.
- Ensure technical documentation for solution designs is created and maintained.
- Build Security First culture and guidelines for all engineers.
- Apply Twelve-Factor App methodology for building applications.
- Create test harness/infrastructure/test cases/automation.
- Work with the application development team to implement data strategies.
Requirements
- Bachelor’s Degree or foreign equivalent in Computer Science, Civil Engineering, or a related field.
- 5 years of experience in the job offered or a related field.
- 3 years of experience in a Principal Engineer Role.
- Experience with SaaS, PaaS, IaaS industry with multiple public cloud offerings such as AWS, GCP, and Azure.
- Experience with Java 21 and above, Python, Spring Framework, Microservices, Containerization, Software design patterns.
- Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with Data privacy and security principles.
- Experience with real-time data streaming technologies such as Kafka or Kinesis.
- Experience with Continuous Integration and Continuous Deployment using Jenkins, Docker, and Kubernetes.
- Experience with Twelve-factor app methodology.
- Experience with OAuth2, OpenID Connect, SAML protocols, and encryption technologies.
- Experience with SQL Databases including Postgres, MySQL, and Oracle.
- Experience with NoSQL Databases including MongoDB, DynamoDB, and Cassandra.
- Experience with Apache Kafka for fault-tolerant distributed streaming of data.
Benefits
- Competitive compensation
- Flexible time off to recharge
- Hybrid work options
- Mental and emotional wellness resources
- 401K plan
