AWS DevOps Engineer (EC2, S3, IAM, Route53, RDS, VPC, LAMBDA, SQS, SNS, EKS, Load Balancers, CloudWatch, API) *** Direct end client 75-110/hr ***

Docker, DevOps, Kubernetes, Nagios, Git, Amazon EC2, Amazon Web Services, Ubuntu, Infrastructure, Amazon Redshift, Informatics, EMR, Linux, Policies, Big data, Virtual private cloud, Terraform, Cloud, Architecture, Solution architecture, Implementation, Best practices, System integration, Amazon RDS, Amazon Route 53, Amazon S3, Amazon SQS, Analytics, Ansible, Apache Spark, Artificial intelligence, Automation, Infrastructure architecture, Identity management, Load balancing, SFTP, SSL, Secure Shell, Security, Chef, Configuration management, Continuous integration, IaaS, Provisioning, Python, Retail, Software deployment, CICD Tools, AWS, EC2, S3, IAM, Route53, RDS, VPC, LAMBDA, SQS, SNS, EKS, Load Balancers, CloudWatch, API Gateway
Contract W2, Contract Independent, 12 Months
$75 - $110
Travel not required

Job Description

The DevOps Engineer is tasked with the management and development of continuous integration and deployment solutions for production applications across various sites/software/platforms. The DevOps engineer will have a strong exposure to AWS and related tools with excellent communication skills enable you to successfully collaborate with engineering team members to support a fast-paced environment.

** work can be done offsite for now, later it has to be done onsite **

Skills and Expertise:

  • Prototyping and developing cloud-native architecture solutions for application needs, particularly with AWS
  • Utilizing AWS Cloud services such as EC2, S3, IAM, Route53, RDS, VPC, LAMBDA, SQS, SNS, EKS, Load Balancers, CloudWatch, API Gateway, etc.
  • Automating software builds and deployment-to-development and production systems
  • Overseeing configuration management and moderating using various automation tools
  • Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation
  • Provisioning and maintaining cloud infrastructure that will support training machine learning models over billions of historical data points collected from tens of thousands of retail stores across the US.
  • Monitoring and measuring system performance and iteratively push for improvements in this area by introducing new technologies or developing new tools.
  • Ensuring that our system meets the highest security standards. Collaborating with a team of security specialists to enforce secure practices across the company.
  • Maintaining a high standard of engineering excellence by implementing best practices for software development, testing, and deployment.
  • Providing input into long-range platform requirements.
  • Intimate familiarity with the DevOps toolkit (Terraform, Ansible, Chef, and other tools).
  • Demonstrated understanding of security best practices.
  • Deep understanding of CICD Tools, Docker, AWS, Python, Kubernetes

 

Posted By

Santa Clara, CA, 95050

Dice Id : 10126850
Position Id : SSF-K8
Originally Posted : 9 months ago
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