Senior AI Platform & DevOps Engineer
About SimplifyVMSAt SimplifyVMS, we're building one of the industry's first AI-native enterprise SaaS platforms. AI isn't just a productivity tool—it powers how we design, develop, test, deploy, and operate our platform. Every engineer is expected to leverage AI daily to automate workflows, accelerate delivery, and continuously improve our engineering platform.We're looking for a hands-on Senior AI Platform & DevOps Engineer to help build an autonomous software delivery platform where infrastructure, deployments, monitoring, and operations are increasingly driven by AI.What You'll DoDesign and build AI-powered CI/CD and GitOps pipelines that automate build, test, deployment, validation, and rollback.Own and evolve our AWS, Kubernetes (EKS), and Terraform/OpenTofu infrastructure.Build self-service platform capabilities that simplify infrastructure provisioning and application deployments.Use AI tools to automate infrastructure provisioning, Kubernetes operations, monitoring, troubleshooting, documentation, and incident response.Improve platform security, observability, reliability, scalability, and disaster recovery.Build intelligent deployment workflows using GitHub Actions, ArgoCD, Helm, and Kubernetes.Partner with engineering teams to create a world-class AI-first developer experience.Our Technology StackAWSKubernetes (EKS)Terraform / OpenTofuGitHub ActionsArgoCD (GitOps)Docker & Amazon ECRHelmCloudflareAWS Secrets Manager & External SecretsGrafana, Prometheus, Loki, Alertmanager & CloudWatchKEDA & KarpenterAI Engineering StackWe expect engineers to be proficient with AI-native development tools such as:CursorClaude CodeGitHub CopilotChatGPTGeminiOpenAI APIsMCP Servers & AI AgentsRequired Skills8+ years building and operating production AWS platforms.Deep expertise with Kubernetes (EKS), Docker, Terraform/OpenTofu, and GitOps.Strong experience building modern CI/CD pipelines and cloud-native platforms.Hands-on experience with observability, networking, security, IAM, DNS, ingress, and cloud architecture.Experience with AWS managed services, including RDS, ECR, CloudWatch, and Secrets Manager.Passion for AI-assisted engineering and a proven ability to use AI tools to automate infrastructure, deployments, troubleshooting, and operational workflows.Strong scripting skills using Python, Bash, or Go.Nice to HaveAWS Bedrock or SageMakerPlatform Engineering / Internal Developer PlatformsProgressive delivery (Canary/Blue-Green)FinOps and AWS cost optimizationSecurity automation and Policy-as-CodeAI agent orchestration or MCP developmentSuccess in This RoleYou'll help transform SimplifyVMS into an AI-native engineering organization where:Infrastructure is fully automated and reproducible.Deployments are intelligent, safe, and largely autonomous.AI accelerates infrastructure management, incident response, and platform operations.Engineering teams deploy faster, operate more efficiently, and spend less time on manual DevOps tasks.The platform becomes increasingly scalable, secure, resilient, and self-service.