Senior Software Engineer

RXinsider LTD.; Edina (MN); On-site; USD 102,000 - 179,000; Full time

Job summary

Vizient in the United States is seeking an experienced backend engineer to design, develop, and support scalable systems powering AI/ML and healthcare analytics. You will build backend services, APIs, and data pipelines in collaboration with AI/ML engineers, data scientists, product teams, and clients.

The role emphasizes cloud infrastructure, CI/CD workflows, IaC, and production-ready software, with a focus on security, reliability, and observability.

Qualifications

• 5+ years of relevant backend engineering experience.
• Experience building data-intensive applications and data pipelines.
• Proficiency with cloud platforms and infrastructure-as-code tools.
• Strong Python or Java development for production services.
• Experience with ML-enabled deployments and AI workflows.

Responsibilities

• Design, develop, and maintain backend services, APIs, and distributed systems.
• Build cloud infrastructure, containers, CI/CD pipelines, and IaC workflows.
• Develop data pipelines and cloud-based data platforms for analytics and AI.
• Collaborate with AI/ML engineers to deploy ML models and RAG workflows.
• Mentor teammates through code reviews and knowledge sharing.

Skills

Python or Java

Cloud platforms

Backend services

Kubernetes

CI/CD pipelines

Data pipelines

AI/ML integration

Education

Relevant degree preferred

Tools

Pulumi

Terraform

Databricks

Snowflake

Observability tools

Job description

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will design, develop, and support scalable backend systems, cloud infrastructure, and data platform capabilities that power AI/ML products and healthcare analytics solutions. You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver secure, reliable, and maintainable software while contributing to engineering standards, operational excellence, and continuous innovation.

Responsibilities

• Design, develop, and maintain backend services, APIs, distributed systems, and platform components that support AI/ML applications and healthcare analytics solutions.
• Build and support cloud infrastructure, containerized environments, CI/CD pipelines, and deployment workflows using infrastructure-as-code frameworks.
• Develop data-intensive applications, data pipelines, and cloud-based data platforms that enable analytics, artificial intelligence, and machine learning initiatives.
• Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications, RAG pipelines, and agentic AI solutions in production environments.
• Leverage AI-assisted development tools to accelerate software delivery while ensuring code quality, security, maintainability, and reliability.
• Validate, test, and optimize software solutions, including AI-generated code, to ensure performance, scalability, and production readiness.
• Implement monitoring, logging, tracing, alerting, and operational support practices to improve system reliability and performance.
• Apply engineering standards for testing, security, scalability, cost efficiency, and software development best practices.
• Partner with product, data, platform, security, and business teams to deliver production-ready solutions and support technical design discussions.
• Mentor team members through code reviews, technical collaboration, and knowledge sharing.

Qualifications

• Relevant degree preferred.
• 5 or more years of relevant experience required.
• Experience building data-intensive applications, data platforms, data pipelines, ETL/ELT processes, or modern data engineering solutions required.
• Experience with AWS, Azure, GCP, or similar cloud platforms and infrastructure-as-code tools such as Pulumi or Terraform required.
• Strong Python or Java development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications highly preferred.
• Experience supporting machine learning systems, model serving, LLM applications, RAG workflows, agentic AI solutions, or related AI technologies highly preferred.
• Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud deployment practices preferred.
• Experience leveraging AI-assisted development tools and validating AI-generated code in production environments preferred.
• Experience with Databricks, Snowflake, Azure AI Foundry, observability platforms, monitoring, logging, tracing, or production support practices preferred.
• Experience working with healthcare data, healthcare technology platforms, or healthcare analytics solutions highly preferred.

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances.

The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.