AWS cloud Engineer Required in Noida

Mployee.me

Dadri

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+

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Job summary

Mployee.me in Noida Sec 16 is seeking an hands-on AWS Engineer to manage and optimize AWS Control Tower, Account Factory, and Service Control Policies. The role operates on a 24x7 shift, based in Noida, with on-site collaboration.

You will configure logging, CI/CD pipelines with Bitbucket, and develop IaC with Terraform, CloudFormation, or CDK. Expect strong scripting, cloud security, FinOps focus, and incident response in a MSP-style environment.

Qualifications

  • Extensive AWS operations experience in multi-account environments.
  • Strong hands-on with AWS Control Tower and native AWS security/compliance services.
  • Experience with Bitbucket and CI/CD pipelines.
  • Solid IaC background with Terraform, CloudFormation, or CDK.
  • Container experience: ECS, Fargate, ECR.
  • Scripting skills (Python, Bash) for automation.
  • AWS certification preferred (DevOps Engineer, Security Specialty, or Solutions Architect).
  • Comfortable with 24x7 on call rotations and SLA driven incident management.
  • MSP or managed services background.
  • FinOps and cost optimization experience.
  • Exposure to Azure/GCP (multi cloud awareness).
  • Experience with DR testing and RTO/RPO planning.
  • Familiarity with SOC monitoring environments.

Responsibilities

  • Operate and optimize AWS Control Tower, Account Factory, OU design, and Service Control Policies.
  • Configure and maintain CloudTrail, AWS Config, Security Hub, GuardDuty, Inspector, and centralized logging.
  • Build and maintain CI/CD pipelines with AWS CodePipeline / CodeBuild integrated with BitBucket.
  • Author and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK.
  • Support containerized workloads on ECS / Fargate and manage ECR repositories.
  • Implement monitoring (CloudWatch), runbooks, and participate in SLA driven incident response.
  • Validate backups and disaster recovery posture; support DR testing.
  • Provide FinOps recommendations for cost optimization and governance.

Skills

AWS Operations
Multi-account Environments
CI/CD Pipelines
Python/Scripting
Automation
On-call / Incident Management
FinOps / Cost Optimization
Cloud Security Familiarity

Tools

AWS Control Tower
Account Factory
OU Design
Service Control Policies
CloudTrail
AWS Config
Security Hub
GuardDuty
Inspector
Bitbucket
Terraform
CloudFormation
CDK
ECS
Fargate
ECR
CloudWatch

Job description

Role & responsibilities

Job Loc-Noida Sec 16

shift-24 by 7

Operate and optimize AWS Control Tower, Account Factory, OU design, and Service Control Policies.

  • Configure and maintain CloudTrail, AWS Config, Security Hub, GuardDuty, Inspector, and centralized logging.
  • Build and maintain CI/CD pipelines with AWS CodePipeline / CodeBuild integrated with BitBucket.
  • Author and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK.
  • Support containerized workloads on ECS / Fargate and manage ECR repositories.
  • Implement monitoring (CloudWatch), runbooks, and participate in SLA driven incident response.
  • Validate backups and disaster recovery posture; support DR testing.
  • Provide FinOps recommendations for cost optimization and governance.
  • 36 years of AWS operations experience in multi account environments.
  • Strong hands on expertise with AWS Control Tower and native AWS security/compliance services.
  • Proven experience with BitBucket and CI/CD pipelines.
  • Solid IaC background (Terraform, CloudFormation, CDK).
  • Container experience: ECS, Fargate, ECR.
  • Scripting skills (Python, Bash) for automation.
  • AWS certification preferred (DevOps Engineer, Security Specialty, or Solutions Architect).
  • Comfortable with 24x7 on call rotations and SLA driven incident management.
  • MSP or managed services background.
  • FinOps and cost optimization experience.
  • Exposure to Azure/GCP (multi cloud awareness).
  • Experience with DR testing and RTO/RPO planning.
  • Familiarity with SOC monitoring environments.
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