DevOps and AWS Cloud Engineer/Architect Direct end client Immediate Backfill role

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.Responsibilities:

• Prototyping and developing cloud-native architecture solutions for application needs, particularly with AWS
• Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation
• Provide on-call support for the platform
• Perform automation, testing, performance tuning, and tools development.
• Provisioning and maintaining cloud infrastructure that will support training machine learning model

• Wide experience with Kubernetes and Docker is a must have
• Industry experience with Amazon Web Services, IAM, VPC, API Gateway, NLB, ALB, EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, SQS, etc.
• Candidate must have demonstrated a strong knowledge of Linux systems
• Proficiency in Python and Bash scripting is a must
• Experience in CI/CD/CT pipelines implementation
• Good understanding of networking and related protocols. (HTTP, DNS, TLS, TCP)
• Candidates must have demonstrated experience in troubleshooting problems and working with a team to resolve production issues.
• Understanding of cloud provisioning tools, e.g. CloudFormation and Terraform.
• Good understanding of database technologies
• Intimate familiarity with the DevOps toolkit (Terraform, Ansible, Chef, and other tools).
• Exposure to messaging pub/sub systems (e.g. AWS SNS, SQS, RedisQ etc.)
• Exposure to data science IDEs like Rstudio or Jupyter notebook is a huge plus
• Understanding of Machine Learning workflow and apps like Kubeflow and Sagemaker studio is a huge plus
• 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.