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AwS cloud infrastructure engineer
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AwS cloud infrastruc....
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AwS cloud infrastructure engineer

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2639170
Need to work onsite on Malvern PA

Responsibilities

Cloud Infrastructure Eng

Qualifications

Skills required for an infrastructure engineer to accomplish those tasks:

AWS Services Knowledge:

Proficiency in AWS Lambda for serverless computing.

Understanding of AWS Step Functions for orchestrating serverless workflows.

Familiarity with CloudFormation Templates (CFTs) for infrastructure as code (IaC).

Experience with AWS ECS (Elastic Container Service) for containerized deployments.

Knowledge of CloudFront for content delivery network (CDN) setup and optimization.

Understanding of Route 53 for DNS management and routing traffic.

Infrastructure as Code (IaC):

Proficiency in writing CloudFormation Templates (CFTs) to define and provision AWS resources.

Experience with infrastructure automation tools like AWS CDK (Cloud Development Kit) is preferred.

Serverless Architecture: Ability to design implement and optimize serverless architectures using AWS Lambda and Step Functions.

Containerization:

Experience with containerization technologies like Docker for packaging applications.

Proficiency in managing containerized deployments using AWS ECS.

Networking and DNS:

Knowledge of networking concepts relevant to AWS including VPC (Virtual Private Cloud) setup and configuration.

Experience with Route 53 for domain registration DNS routing and health checks.

Security Best Practices: Understanding of AWS security best practices including IAM (Identity and Access Management) security groups and encryption.

Monitoring and Logging: Proficiency in setting up monitoring and logging for AWS services using CloudWatch.

Continuous Integration/Continuous Deployment (CI/CD):

Familiarity with CI/CD pipelines for automated deployment using tools like Bamboo.

Experience with Git or other version control systems for managing code changes.

Machine Learning skills: Basic understanding of concept like feature engineering training and testing models. Deep understanding of Model development lifecycle is not required.

If you are interested or have any references please share resume at

Employment Type

Full Time

Key Skills

  • Jenkins
  • Ruby
  • Python
  • Active Directory
  • Cloud
  • PowerShell
  • Windows
  • AWS
  • Linux
  • SAN
  • Java
  • Troubleshoot
  • Backup
  • Puppet
  • hardware
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