Software Engineer

Summary

NRC Health is a healthcare-focused company helping organizations improve patient and employee experiences through Human Understanding. The Software Engineer will build customer-facing healthcare platform functionality while developing Kubernetes-based deployments, cloud infrastructure, CI/CD automation, observability, and AI-assisted engineering workflows.

Responsibilities

• 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

Skills

• Bachelor's Degree in Computer Science, MIS, IT, Engineering, or a related field, or equivalent experience and the demonstrated ability to learn
• Strong software engineering experience developing production applications
• Experience administering Kubernetes clusters
• 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
• Amazon EKS preferred
• 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

Qualifications

Must Haves

• Bachelor's Degree in Computer Science, MIS, IT, Engineering, or a related field, or equivalent experience and the demonstrated ability to learn
• Strong software engineering experience developing production applications
• Experience administering Kubernetes clusters
• 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

Nice to Haves

• Amazon EKS preferred
• 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

Benefits

• Paid volunteer time off
• A career path designed by you for growth and development
• Beer:30, virtual events, and company gatherings
• My Time Off, a form of unlimited vacation
• Up to 12 weeks paid for parental and emergency leave
• Complimentary lifestyle and financial coaches
• A wellness program
• A comprehensive insurance plan
• Potential bonuses
• While this position may allow for a work from home environment