Architect and develop scalable full-stack applications, modernize legacy services, integrate with external systems, and implement automated testing frameworks while collaborating with cross-functional teams to meet business requirements.

• Wellmark Inc. seeks a Sr Software Engineer – Dynamics CRM • Design, develop, test, implement, maintain, and document highly complex Microsoft Dynamics 365 solutions • Ensure completed activities meet project specifications, requirements and Wellmark standards • Lead discussions with Technology and business units on solution design and implementation • Collaborate with other areas of Technology to ensure solutions improve the user experience • Work to resolve technical problems for on-premise, cloud native, and hybrid applications • Serve as subject matter expert in the implementation of innovative, cost-effective business solutions for multiple applications.

• Designing and implementing large data, extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data. • Working to improve algorithms built to schedule load on clusters of thousands of machines elastically at runtime. • Improving systems to provide performance guarantees to customers in a shared-everything multi-tenant architecture. • Contributing to the re-architecting of our internal message processing technology to petabyte per day scale. • Helping manage exabytes of data using the latest and greatest technologies such as Kafka, Kubernetes and Docker. • Partnering across Sumo interfacing with multiple teams including Search, Security and Metrics & Tracing to identify requirements and architect solutions to meet their data core ingest needs.

• Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns • Build intuitive, performant front-end experiences using React, Angular, or Vue • Lead technical design discussions and contribute to architectural decisions • Integrate AI/ML capabilities into applications (e.g., embeddings, LLM-powered features, intelligent automation) • Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring • Mentor junior engineers and promote engineering best practices across the team • Collaborate closely with product, data, and AI teams to deliver end-to-end solutions • Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization • Ensure security, scalability, and maintainability across the full stack