Sr. DevOps Engineer with AWS & Kubernetes exp. (Onsite) :: San Francisco, CA

Hi,

Hope you are doing well,

Please find the job description given below and let me know your interest.

Position: Sr. DevOps Engineer with AWS & Kubernetes exp. (Onsite)

Location: San Francisco, CA

Duration : 6 months

Job Description:

Design, implement, and manage end-to-end DevOps pipelines covering build, release, deployment, and monitoring across AWS cloud environments. Work extensively with DevOps tools including Helm, Chef, Docker, Kubernetes, Jenkins, Ant, and Maven. Migrate on premises VMware virtual machines to AWS, and manage cloud services such as VMs, VPN, VNet, UDR, and NSG .Implement Infrastructure as Code (IaC) using Terraform, including execution plans, resource graphs, and automated change management.

Design, configure, and automate CI/CD pipelines using TeamCity and Jenkins for multiple projects.

Build and manage Kubernetes (K8s) clusters, including pods, services, deployments, replica sets, ingress, health checks, and namespaces using YAML. create and manage Helm charts to package, version, and deploy Kubernetes applications with configurable parameters.

Implement production ready, highly available, fault tolerant, load balanced, and auto scaling Kubernetes environments for microservices.

Work with Red Hat OpenShift Container Platform to deploy, scale, and manage containerized workloads.

Containerize applications using Docker, Docker Compose, Docker Hub, and Docker Swarm, and automate deployments using Vagrant.

Automate infrastructure and application deployments using Ansible playbooks, roles, inventory files, Ansible Galaxy, and Ansible Tower.

Integrate Ansible with Jenkins for continuous deployment, server provisioning, and configuration management.

Develop and maintain Chef cookbooks and recipes using Ruby and Chef DSL for system configuration automation.

Administer and maintain build and CI tools such as Jenkins, TeamCity, Team Foundation Server (TFS), Bamboo, Hudson, and Cruise Control. Support architectural transformation initiatives to move from monolithic systems to distributed, microservices based architectures.

Deploy and manage AWS services including VPC, EC2, Auto Scaling Groups, IAM roles and policies, ELB, ECS, Lambda, S3, RDS, and CloudWatch. Hands on exp. with AWS Kendra and Sinequa Monitor applications and infrastructure using Nagios, Dynatrace, Splunk, and AppDynamics.

Provide strong troubleshooting and problem solving support across Linux/UNIX and Windows servers. Ensure high availability and operational stability in 24/7 production environments.

If you are interested, please share your updated resume and suggest the best number & time to connect with you.