Senior Software Engineer

Posted 12 Days Ago
Be an Early Applicant
55435, Minneapolis, MN, USA
In-Office
102K-179K Annually
Senior level
Analytics • Consulting
The Role
Design, build, and support scalable backend systems, cloud infrastructure, and data platforms to deploy ML models, LLMs, RAG pipelines, and healthcare analytics. Develop data pipelines, CI/CD, containerized deployments, and monitoring while ensuring security, performance, and engineering standards. Collaborate with cross-functional teams and mentor engineers.
Summary Generated by Built In

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.

Skills Required

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

Vizient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.

  • Leave & Time Off Breadth Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
  • Flexible Benefits Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
  • Retirement Support Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.

Vizient Insights

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The Company
HQ: Irving, TX
5,661 Employees
Year Founded: 1977

What We Do

Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.

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