Job TitleDevOps Engineer / AWS DevOps Engineer
Estimated Start Date2/27/2025
LocationSan Francisco, CA
Duration(Months)6 Months
Remote PossibilityOnsite
ย
Job Description:
ย
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 onโpremises 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 productionโready, highly available, faultโtolerant, loadโbalanced, and autoโscaling 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, microservicesโbased 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 withย AWS Kendra and Sinequa Monitor applications and infrastructure using Nagios, Dynatrace, Splunk, and AppDynamics. Provide strong troubleshooting and problemโsolving support across Linux/UNIX and Windows servers. Ensure high availability and operational stability in 24/7 production environments.