We are seeking a Systems Engineer to support and enhance our internal healthcare application platform. You will handle Kubernetes-based application deployments, CI/CD pipeline support, infrastructure automation, platform reliability, and cost optimization. You will work within established standards and security practices.
Key Responsibilities
- Deploy, upgrade, and maintain healthcare applications on Kubernetes using standardized patterns and Helm charts.
- Implement, maintain, and troubleshoot CI/CD pipelines using modern DevOps practices.
- Automate infrastructure provisioning and routine operational tasks using Infrastructure as Code (IaC).
- Monitor platform health, respond to alerts, troubleshoot issues, and contribute to root cause analysis.
- Identify manual processes and automate them to improve operational efficiency.
- Identify and implement cost-saving opportunities such as rightsizing, cleaning up unused resources, and tuning autoscaling.
- Follow security and compliance practices (HIPAA, access controls, secrets management) in all platform work.
- Maintain runbooks and technical documentation.
- Collaborate with development, operations, and support teams to improve application delivery.
Required Skills
- 3+ years of experience in Systems Engineering, DevOps, or Platform Engineering.
- Strong hands-on experience with Kubernetes, Docker, and containerized applications.
- Experience with Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.
- Proficiency in Terraform, Ansible, or other IaC tools.
- Scripting experience with PowerShell, Python, or Bash.
- Experience with Azure or another cloud platform.
- Strong troubleshooting, automation, and problem-solving skills.
Preferred Skills
- Experience with AKS, EKS, or OpenShift.
- Helm charts and Kubernetes administration.
- Monitoring tools such as Prometheus, Grafana, Azure Monitor, or ELK.
- Experience in healthcare or other regulated environments.
- Certifications such as CKA/CKAD, Azure Administrator, or Terraform Associate.
What Success Looks Like
- Applications are deployed consistently using standardized Kubernetes patterns.
- Automation has measurably reduced manual work.
- Platform reliability has improved and incidents are resolved faster.
- Cost-saving actions have been delivered and documented.
- Runbooks and documentation are kept current.
