DescriptionWho we want
- Do you have experience building modern cloud-native engineering platforms that enable healthcare organizations to deliver exceptional patient and employee experiences?
- Do you have experience developing customer-facing software while continuously improving the platform that powers it, including experience with Kubernetes, AWS, Infrastructure as Code, CI/CD automation, and AI-assisted software development?
- Do you enjoy solving complex technical problems across both application development and platform engineering?
- Do you have experience combining software engineering with modern DevOps and Platform Engineering practices that help shape both the applications and the infrastructure that runs them?
- Are you passionate about building reliable software, automating operational work, and leveraging AI for more effective engineering?
- Do you enjoy improving developer experience, simplifying deployments, and building scalable cloud-native systems?
What you will do
- Design, build, and enhance customer-facing product functionality across our healthcare platform.
- Own the software and services you build, designing with reliability, scalability, and maintainability in mind to develop high-quality software using modern engineering practices.
- Build and maintain Kubernetes-based application deployments.
- Design, implement, and maintain Infrastructure as Code (IaC) to provision and manage cloud resources.
- Improve CI/CD pipelines to enable reliable, automated software delivery.
- Build reusable infrastructure modules and deployment patterns that improve consistency, reliability, and scalability.
- Automate operational processes to reduce manual effort and improve platform reliability.
- Collaborate with software engineers to improve deployment processes, developer workflows, and platform capabilities.
- Monitor production environments and continuously improve observability, alerting, and operational health.
- Identify and resolve scalability, performance, reliability, and operational challenges.
- Troubleshoot production issues and implement durable, long-term solutions.
- Leverage AI-assisted development tools to accelerate software delivery, improve code quality, automate repetitive tasks, generate tests, improve documentation, and solve technical problems.
- Participate in architecture discussions and contribute to the long-term technical direction of the platform.
- Write clean, maintainable, well-tested, and well-documented code.
What you need
- Bachelor's Degree in Computer Science, MIS, IT, Engineering, or a related field with outstanding academics, or equivalent experience and the demonstrated ability to learn
- 3+ years' experience working on a professional development team
- Strong software engineering experience developing production applications.
- Experience administering Kubernetes clusters (Amazon EKS preferred).
- Experience working with AWS cloud service such as EKS, RDS, IAM, S3, Route 53, ALB, and CloudWatch.
- Experience designing and maintaining CI/CD pipelines.
- Experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
- Experience automating infrastructure, deployments, or operational workflows.
- Understanding of cloud architecture, scalability, distributed systems, and modern application design.
- Experience troubleshooting production systems in cloud environments.
- Familiarity with observability, monitoring, and logging platforms.
- Demonstrated proficiency using AI-assisted development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar to improve software development effectiveness.
- For candidates newer to AI-assisted development, a strong willingness and proven ability to rapidly learn and adopt modern AI-powered engineering workflows.
- Strong problem-solving skills with an ownership mindset.
- Excellent collaboration and communication skills.
- Experience with test-driven development (NUnit or similar).
- Familiarity with client-side JavaScript/Typescript web frameworks, such as ReactJS or EmberJS.
- Strong SQL development experience
- Experience working effectively with non-technical business partners to inform product and business decisions
- Willingness to act as a mentor to other team members.
Nice to have
- Experience with GitOps tools such as Argo CD or Flux.
- Experience with Docker and container security.
- Experience implementing observability using Datadog, Prometheus, Grafana, or similar platforms.
- Experience with Linux system administration.
- Experience supporting highly available production systems.
- Experience in healthcare or other regulated industries.
Compensation
In the spirit of pay transparency, we are excited to share the base salary range for this position is $115,200 - $167,040, exclusive of fringe benefits or potential bonuses. If you are hired at NRC Health, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. In addition to those factors - we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future and continued salary growth. We also offer a generous compensation and benefits package. For more information on specific benefits, please refer to our Careers Page.
NRC Health is not currently hiring in DE, HI, MD, NJ, RI, D.C. While this position may allow for a work from home environment, preferred candidates live in the Lincoln, Nebraska and surrounding areas.
In general, NRC Health's positions are closed within 30 days. However, factors such as candidate flow and business necessity may require NRC Health to shorten or extend the application window. We encourage our prospective candidates to submit their application expediently so as not to miss out on our opportunities.
