Cloud Platform Administrator - AWS Admin + NetApp

EPAM Systems Inc; Pune District, Gurugram District, Coimbatore District; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Epam Systems is seeking an experienced Cloud Platform Administrator to oversee AWS infrastructure and NetApp storage for the SCE platform. You will deploy and sustain Docker, Kubernetes, and ECS/EKS environments, manage IAM, and enforce security controls.

The role requires strong scripting, IaC, and monitoring skills, with a focus on reliability and cost efficiency. You will also handle backups, DR, and documentation while collaborating with cross-functional teams to ensure scalable cloud

Qualifications

• 5–12 years IT experience with 5+ years cloud administration and AWS.
• Hands-on with EC2, S3, EBS, VPC, IAM, CloudWatch, Systems Manager.
• Experience with NetApp storage solutions (ONTAP).
• Proficiency in Terraform, CloudFormation, and Ansible for IaC.
• Scripting in Python, Bash, and PowerShell; monitoring with CloudWatch.
• Familiarity with Vault, Secrets Manager, and access control models.
• Knowledge of security/compliance practices in cloud environments.

Responsibilities

• Oversee and enhance AWS infrastructure for the SCE platform.
• Manage NetApp storage, performance tuning, and capacity planning.
• Deploy and maintain Docker, Kubernetes, ECS/EKS ecosystems.
• Administer DRA accounts and IAM access controls.
• Implement secrets management with Vault and Secrets Manager.
• Enforce cloud security controls and compliance standards.
• Optimize resource usage and control cloud spend.
• Plan backups, DR, and high-availability architectures.
• Diagnose issues and provide technical support, keep docs updated.

Skills

Python

Bash

PowerShell

Terraform

Tools

Docker

Kubernetes

ECS

EKS

Terraform

CloudFormation

Ansible

HashiCorp Vault

AWS Secrets Manager

Job description

We're looking for an experienced Cloud Platform Administrator to oversee and enhance AWS infrastructure and NetApp storage systems supporting our SCE platform, delivering secure, scalable, and high-performance cloud environments.

Responsibilities

• Oversee and enhance AWS infrastructure supporting the SCE platform
• Handle NetApp storage solutions, including setup, performance optimization, and capacity planning
• Deploy and sustain containerization infrastructure (Docker, Kubernetes, ECS)
• Oversee DRA (Delegated Resource Administrator) accounts and access permissions
• Deploy and sustain secrets management tools (AWS Secrets Manager, HashiCorp Vault)
• Set up and track cloud security controls, IAM policies, and compliance standards
• Enhance cloud resource usage and manage associated costs
• Deploy backup, disaster recovery, and high-availability systems
• Diagnose platform problems and deliver technical assistance
• Keep documentation current for infrastructure setups and processes

Requirements

• 5 to 12 years of total IT experience, including 5+ years administering cloud platforms and 5+ years working with AWS
• Strong command of AWS services such as EC2, S3, EBS, VPC, IAM, CloudWatch, and Systems Manager
• Prior work with NetApp storage solutions (Cloud Volumes ONTAP, FSx for NetApp ONTAP)
• Advanced understanding of containerization tools: Docker, Kubernetes, Amazon ECS/EKS
• Skilled in secrets management platforms: AWS Secrets Manager, Parameter Store, HashiCorp Vault
• Hands-on experience with DRA accounts and delegated administration structures
• Solid grasp of cloud security principles and compliance frameworks
• Capable in Infrastructure as Code tools: Terraform, CloudFormation, Ansible
• Scripting ability in Python, Bash, and PowerShell
• Working knowledge of monitoring and logging platforms: CloudWatch, Splunk, Datadog

Nice to have

• AWS certifications (Solutions Architect, SysOps Administrator, Security Specialty)
• Background in regulated pharmaceutical or life sciences settings
• Understanding of GxP compliance standards as applied to cloud infrastructure
• Familiarity with Domino Data Lab platform administration
• Exposure to HPC and scientific computing workloads