Systems Engineer

Job description

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 ResponsibilitiesDeploy, 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 Skills3+ 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 SkillsExperience 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 LikeApplications 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.