Jhansi K
Cloud DevOps Engineer/Cloud AI/MLops Platform engineer#Actively Seeking Full-Time Oppotunities
- Role
- Ai Ml Platform Engineer at TD
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Jhansi K
I am an accomplished DevOps Engineer with over 5 years of hands-on experience in automating, optimizing, and deploying mission-critical applications across AWS, GCP, and Azure cloud platforms. Specializing in Infrastructure as Code (IaC), I have developed deep expertise in Terraform, Ansible, and Azure DevOps, along with comprehensive knowledge of CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, and Azure Pipelines.With a strong focus on containerization, I have hands-on experience working with Docker and Kubernetes (including EKS, GKE, and AKS), ensuring scalable, efficient, and reliable deployments across cloud environments. I have also built a robust understanding of cloud networking, security, and cost optimization, using tools such as AWS CloudFormation, GCP Cloud Storage, IAM policies, and Azure Kubernetes Service to safeguard infrastructure.My experience includes integrating tools like SonarQube and OWASP Dependency Check to automate code quality checks and security scans throughout the software development lifecycle. Additionally, I have effectively managed artifacts using Maven, Azure Artifacts, and GCP Artifact Registry, ensuring streamlined and efficient deployment processes.For automation, I focus on reducing manual intervention by provisioning infrastructure using Terraform and Ansible. I have also worked with serverless architecture, leveraging AWS Lambda and Google Cloud Functions to minimize operational overhead and deliver scalable solutions.To ensure reliable and efficient operations, I rely on monitoring tools such as AWS CloudWatch, Google Cloud Monitoring, Prometheus, Grafana, and Splunk for proactive tracking and monitoring. I optimize cloud resources using auto-scaling, load balancing, and cost management tools like AWS Budgets and Azure Cost Management.I am always seeking new challenges and opportunities to implement modern DevOps practices, driving automation, scalability, and continuous improvement within cloud-native environments.
Experience
Ai Ml Platform Engineer
Feb 2025 — Present
Education
Southern Arkansas University
Master's degree
2022 — 2023
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