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Senior Cloud Platform Engineer - Multi-Cloud & Kubernetes

Job in Passaic, Passaic County, New Jersey, 07055, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Location:

Hybrid, Iselin

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.

About our Company

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster.

Discover more at

About the Team

As a Senior Cloud Platform Engineer, you will be the primary architect and operator of our multi-cloud ecosystem. This is a high-impact, generalist role that requires a deep understanding of the entire technology stack—from the underlying operating systems and networking to container orchestration and automated governance. You will design, secure, and scale the infrastructure that powers our global applications while mentoring engineering teams on cloud-native best practices.

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, Cloud Formation, or Pulumi.
  • Build and optimize deployment pipelines using Git Hub Actions, Git Lab CI, Flux, or ArgoCD to enable "Git Ops" 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, Git Hub 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 Dev Ops, with deep proficiency in AWS and/or GCP.
  • Expert-level experience administering Linux (shell scripting, kernel tuning) and Windows Server (Active Directory, Group Policy, Power Shell).
  • 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 the NYC/ NJ Metro Area…

Position Requirements
10+ Years work experience
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