Senior Software Engineer
Semantic Layer and Microservices
Confirmed live in the last 24 hours
Xevant

51-200 employees

Pharmacy benefits analytics automation platform
Company Overview
Xevant stands out in the pharmacy benefit sector with its advanced analytics platform that automates the analysis of comprehensive pharmacy claims data, offering real-time insights and actionable reports to enhance cost efficiency and client outcomes. The company's ability to evaluate contract performance swiftly, monitor disease management through dynamic dashboards, and provide on-demand reports for industry rate comparisons positions it as a leader in optimizing business processes for pharmacy benefit managers. Xevant's commitment to driving down costs and improving client satisfaction through technology demonstrates a competitive edge in streamlining operations and delivering value in the healthcare industry.
Data & Analytics

Company Stage

Seed

Total Funding

$17.2M

Founded

2017

Headquarters

Lehi, Utah

Growth & Insights
Headcount

6 month growth

1%

1 year growth

21%

2 year growth

90%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Node.js
Java
Docker
AWS
Terraform
REST APIs
CategoriesNew
Backend Engineering
Full-Stack Engineering
Software QA & Testing
Software Engineering
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in designing, implementing, and maintaining a semantic layer for enterprise-scale applications, with a deep understanding of data modeling, data access patterns, and performance optimization techniques.
  • Strong expertise in building microservices-based architectures using modern technologies such as Docker, Kubernetes, and serverless computing platforms.
  • Proficiency in programming languages such as Java, Python, or Node.js, with experience in developing RESTful APIs and integrating with data sources.
  • Experience with cloud platforms such as AWS or Azure and familiarity with infrastructure as code tools like Terraform or CloudFormation.
Responsibilities
  • Design and Architect: Lead the design and architecture of a robust semantic layer to provide a unified data access layer across the organization. Architect and implement microservices-based solutions to support various business needs and integrate with the semantic layer.
  • Develop: Build and maintain the semantic layer infrastructure, including data models, data access APIs, and caching mechanisms. Develop microservices using modern frameworks and technologies, ensuring scalability, reliability, and performance.
  • Ensure Quality and Reliability: Ensure the quality, reliability, and scalability of the semantic layer and microservices architecture. Implement best practices for testing, monitoring, and troubleshooting to maintain optimal system performance.
  • Collaborate: Collaborate with cross-functional teams including data engineers, data scientists, and application developers to understand requirements and deliver solutions that meet business needs effectively.