Staff Cloud Platform Engineer

Responsibilities:

• Design and implement secure, multi-account structures and landing zones across AWS, GCP, and Azure.

• Manage and evolve multi-cloud IAM, SSO, and Role-Based Access Controls (RBAC) to ensure least-privilege access.

• Enforce tagging standards, resource hierarchies, and cost-optimization strategies (rightsizing, idle resource elimination) to maintain fiscal accountability.

• Lead the deployment, scaling, and management of Kubernetes clusters (EKS, GKE, or self-managed). Manage CNI plugins, ingress controllers, and service meshes (Istio/Linkerd).

• Administer and optimize Linux (Ubuntu, Amazon Linux, RHEL) and Windows Server environments, ensuring hardened configurations and automated patching.

• Manage the intersection of cloud services and traditional OS-level dependencies, including Active Directory integration and file system performance tuning.

• Develop and maintain modular templates using Terraform, CloudFormation, or Pulumi.

• Build and optimize deployment pipelines using GitHub Actions, GitLab CI, Flux, or ArgoCD to enable "GitOps" workflows.

• Design security controls including encryption at rest/transit (KMS), VPC Service Controls, and audit logging to meet SOC2, HIPAA, or FedRAMP standards.

• Leverage AI-native development tools (e.g., Cursor, GitHub Copilot) and LLM-powered agents to accelerate Infrastructure-as-Code (IaC) authoring, automate complex root-cause analysis, and proactively optimize cloud utilization through predictive anomaly detection.

   

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 5+ years of experience in Cloud Engineering, SRE, or DevOps, with deep proficiency in AWS and/or GCP.

• Expert-level experience administering Linux (shell scripting, kernel tuning) and Windows Server (Active Directory, Group Policy, PowerShell).

• Proven track record of running production-grade Kubernetes workloads at scale, including experience with Helm and container security.

• Strong proficiency in Python, Go, or Bash for infrastructure automation and tool development.

• Solid understanding of VPC/VNet design, peering, Transit Gateways, and zero-trust security models.

   

Preferred Qualifications

• Experience with "Cloud-Native" monitoring stacks (Prometheus, Grafana, ELK).

• Background in migrating legacy Windows/Linux monolithic applications into containerized microservices.

• Relevant certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Certified Kubernetes Administrator (CKA).

As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.

The salary range for positions that will be physically based in Metropark is $135,000- $180,000. 

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.