Cloud-Native Software Engineer: Kubernetes & AI (Healthcare)

Nrchealth

Lincoln (NE)

On-site

USD 80,000 - 116,000

Full time

14 days+

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Benefits offered by this job

Unlimited vacation

Volunteer time off

Wellness program

Comprehensive insurance

Job summary

NRC Health is seeking a skilled software engineer to design and build customer-facing functionality on a cloud-native healthcare platform. You will own deployments, build reliable Kubernetes-based systems, and implement IaC to provision cloud resources, while improving CI/CD pipelines and observability.

You will collaborate across teams to enhance deployment workflows, automate operations, and leverage AI-powered tools to accelerate delivery.

Qualifications

Bachelor's degree or equivalent experience in computer science or related field.
Strong software engineering experience with production applications.
Experience administering Kubernetes clusters (EKS preferred).
Experience with AWS services: EKS, RDS, IAM, S3, Route 53, ALB, CloudWatch.
Designing and maintaining CI/CD pipelines; IaC experience (Terraform/CloudFormation).
Automating infrastructure, deployments, or operational workflows.
Understanding distributed systems and cloud architecture.
Troubleshooting production systems in cloud environments.
Familiarity with observability and logging platforms.
Proficiency with AI-assisted development tools to improve code quality.

Responsibilities

Design, build, and enhance customer-facing product functionality across our healthcare platform.
Own the software and services you build with reliability and scalability in mind.
Build and maintain Kubernetes-based deployments.
Design, implement, and maintain Infrastructure as Code to provision cloud resources.
Improve CI/CD pipelines for automated software delivery.
Create reusable infrastructure modules to improve consistency and reliability.
Automate operational processes to reduce manual work.
Collaborate with engineers to improve deployment processes and workflows.
Monitor production environments and improve observability and health.
Identify and resolve scalability, performance, and reliability challenges.
Troubleshoot production issues and implement durable solutions.
Leverage AI-assisted development tools to accelerate software delivery and quality.
Participate in architecture discussions and contribute to long-term direction.
Write clean, well-documented, maintainable code.