DevOps Engineering,

Devops engineer

F2F interview in Charlotte, NC 28202

Hire Type: contract

DevOps, Platform Engineering, Cloud Engineering, Kubernetes, OpenShift, AWS, Azure, Terraform, Ansible, Docker, Jenkins, GitHub Actions, CI/CD, GitOps, Linux, Helm, Prometheus, Grafana, Splunk, Dynatrace, Datadog

Nice to have skills

ArgoCD, Tekton, GitLab CI, Bitbucket Pipelines, EKS, AKS, AWS CloudWatch, Ansible Tower/AWX, ServiceNow, JIRA, ELK Stack, IBM MQ, WebLogic, Tomcat, JBoss

We are seeking a highly skilled DevOps / Platform Engineer with strong hands-on experience in enterprise-scale infrastructure automation, cloud platform engineering, container orchestration, and CI/CD implementation. The ideal candidate should have proven experience in designing, deploying, and supporting Kubernetes and OpenShift platforms, automating infrastructure provisioning using Terraform and Ansible, and managing cloud-native workloads across AWS and Azure environments. The candidate should also have strong experience in production support, observability, incident management, and platform reliability engineering.

Key Responsibilities:

Design, deploy, and manage containerized applications on Kubernetes, OpenShift, EKS, and AKS platforms across Dev, QA, and Production environments.

Build and maintain Docker images, container registries, Helm charts, and Kubernetes objects including Deployments, Services, ConfigMaps, Secrets, and Ingress resources.

Develop and maintain Infrastructure as Code using Terraform for AWS infrastructure provisioning including EC2, S3, VPC, IAM, RDS, EKS, ELB, Route 53, and CloudWatch.

Create and execute Ansible playbooks and roles for server provisioning, application deployments, OS patching, configuration management, and environment automation using Ansible Tower/AWX.

Build, support, and troubleshoot CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, and Bitbucket Pipelines for automated build, test, and deployment processes.

Monitor platform and application health using Prometheus, Grafana, Splunk, ELK Stack, Dynatrace, Datadog, and AWS CloudWatch; perform RCA and support P1/P2 incident resolution.

Support cloud migrations, container platform operations, production deployments, rollback activities, release management, and change management processes.

Required Skills & Qualifications:

7+ years of hands-on experience in DevOps Engineering, Platform Engineering, Cloud Engineering, and Application Support.

Strong hands-on experience with Kubernetes, OpenShift 4.x, EKS, AKS, Docker, Helm, kubectl, and oc CLI.

Strong experience provisioning and managing AWS cloud infrastructure using Terraform.

Hands-on experience with AWS services including EKS, EC2, VPC, IAM, S3, RDS, Lambda, ELB, Route 53, and CloudWatch.

Experience with Azure platform services including AKS, ACR, Azure DevOps, and Key Vault.

Strong experience developing and executing Ansible playbooks for provisioning, configuration management, OS patching, and deployments.

Extensive CI/CD experience using Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines, and GitOps tools such as ArgoCD and Tekton.

Strong troubleshooting experience across Kubernetes workloads including CrashLoopBackOff, OOMKilled, ImagePullBackOff, PVC mount failures, ingress issues, and pod/node resource issues.

Experience in monitoring, logging, and observability tools including Prometheus, Grafana, Splunk, ELK Stack, Dynatrace, Datadog, and CloudWatch.

Experience supporting production platforms, incident management, root cause analysis, runbook creation, and on-call support.

Experience working with Linux servers including RHEL, CentOS, and Ubuntu environments.

Experience with middleware and application platforms including Apache Tomcat, JBoss/WildFly, WebLogic, and IBM MQ.

Strong experience working in Agile/Scrum teams using JIRA, ServiceNow, and Confluence.