| AWS DevOps with ML experience with Hands on Exp. || 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
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Hello, My name is Shakti Shahi and I am a Staffing Specialist at KK Associates LLC. I am reaching out to you on an exciting job opportunity with one of our clients. Role: AWS DevOps with ML experience with Hands on Exp. Location: 100% Remote Immediately Needed We are looking for candidates who can manage end to end , implementation ,production support. Job Summary A Senior AWS DevOps Engineer with ML , responsible for deployment and having strong experience in DevOps best practices, CI/CD Processes, GIT, Jenkins, AWS services etc. Candidate will contribute to the evolution of AWS cloud infrastructure that supports Client SaaS application as well as internal systems Years of experience needed 10+ Years of experience. Technical Skills: Experience with Continuous Integration / Continuous Deployment (CI/CD) tools and processes. Infrastructure as Code approaches: Puppet (or Chef/Ansible/Salt) and Terraform (or CloudFormation) experience. Experience with languages such as Python/Go Experience with MySQL, Java/Tomcat/Apache, Splunk, and open-source tools for systems monitoring/management. Experience with Git, Jenkins, and Nexus Experience using ECS or other container orchestrators. Experience operating a 24/7 production web application. Comfort with working in a fast-paced environment with the ability to multi-task. General analysis/problem solving and ability to develop creative solutions. Amazon Web Services experience (EC2, RDS, CloudFront, CloudWatch, DynamoDB) Bachelors degree in engineering or computer science or equivalent experience in a technical capacity. Essential duties / responsibilities: You will develop and advance our (shift left) capabilities in Continuous Integration / Continuous Deployment You will build, operate, scale, and troubleshoot the SaaS infrastructure in an Agile environment. You will debug Maven and Webpack builds. You will enhance our monitoring tools, build infrastructure, and source code management. In collaboration with other teams, youll make sure our infrastructure and applications that depend on it work together seamlessly. You will support other teams build and infrastructure needs on an as needed basis. You will write tools for systems and infrastructure automation. As part of an on-call rotation, youll provide operations coverage Required Job Skills and Abilities: Comfort with working in a fast-paced environment with the ability to multi-task. General analysis/problem solving and ability to develop creative solutions. Infrastructure Automation : Developing and maintaining Infrastructure as Code (IaC) using tools like Terraform or Puppet Monitoring & Troubleshooting : Enhancing observability with tools like Splunk and Datadog to addressing system issues proactively. Collaboration : Working closely with developers, QA, and other stakeholders to align infrastructure with application needs. Hands-on experience with IaC tools (Terraform, Puppet). Excellent communication and collaboration skills. Strong AWS Cloud technology experience Self-Assessment Rating (mandatory for all points) from 0 to 5 or add Comments (if any): Activity Rating Comment (If any) Amazon Web Services experience (EC2, RDS, CloudFront, CloudWatch, DynamoDB) Experience with CI/CD Code approaches: Puppet (or Chef/Ansible/Salt) and Terraform (or CloudFormation) experience DevOps Engineers (including Handling Edge Cases and Failures) Debug Maven and Webpack builds Hands-on experience with IaC tools (Terraform, Puppet) Experience with Git, Jenkins and Nexus Experience using ECS or other container orchestrators Kubeflow (Integrating Kubeflow with AWS) Kubernetes and Handling Multi-Tenancy in Kubernetes MLOps Experience Python /Go (Model Deployment Script) Containerization and Deployment with Kubernetes Handling Model Drift and Monitoring Verbal Communication (Professional) Regards, Shakti Shahi Rajput Senior Technical Recruiter [email protected] Contact- (469) 343-0302 Web: www.kksoftwareassociates.com -- Keywords: continuous integration continuous deployment quality analyst machine learning access management information technology golang AWS DevOps with ML experience with Hands on Exp. || 100% Remote [email protected] |
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| 09:48 PM 17-Dec-24 |