Why This Role Stands Out
This on-site DevOps Engineer role at a leading company offers an excellent opportunity to master Rafay for Kubernetes and AWS environments, driving significant impact within a reputable organization. You'll thrive here if you possess extensive experience in cloud-native technologies and automation, and are eager to contribute to cutting-edge projects. Apply now to elevate your career and gain invaluable experience.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
McLean, VA, United States
Posted
18 hours ago
DockerSpinnakerAWSELKEncryptionService MeshSplunkAnsibleCloudFormationDNSDatadogGitGrafanaHelmIstioJenkinsKubernetesPrometheusPythonTerraform
Job Description
Role : DevOps Engineer (AWS + Kubernetes + Rafay)
Location : Mclean, VA (5days onsite)
Client: Freddi Mac
Experience : 12+ Years
No OPT, CPT & EAD
Hands-on experience with Rafay for Kubernetes platform or multi-cluster operations.
Spinnaker - you can consider as optional.
Key Responsibilities:
- Manage and operate Kubernetes environments using Rafay, including multi-cluster lifecycle management, access controls, governance, namespaces, policies, and application deployments.
- Design, build, and maintain CI/CD pipelines using Jenkins.
- Automate infrastructure, deployment, operational, and integration tasks using Python.
- Deploy and operate cloud-native applications on AWS, primarily in Amazon EKS environments.
- Configure and support Istio service mesh capabilities, including traffic management, ingress, mTLS authorization policies, observability, and resilience patterns.
- Implement secure, repeatable deployment processes across development, test, staging, and production environments.
- Collaborate with application, QA, security, platform, and cloud infrastructure teams to improve release quality and delivery velocity.
- Troubleshoot Kubernetes, container, AWS networking, CI/CD, and production deployment issues.
- Establish and enforce operational standards for availability, security, monitoring, logging, alerting, and incident response.
- Document platform configurations, deployment processes, runbooks, and best practices.
Required Qualifications:
- 12+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or a related discipline.
- Hands-on experience with Rafay for Kubernetes platform or multi-cluster operations.
- Candidates with strong production experience in Rancher, OpenShift, Tanzu, or comparable Kubernetes management platforms may be considered where Rafay experience is limited.
- Strong AWS experience, including practical knowledge of:
- Amazon EKS - EC2 - IAM - VPC, subnets, routing, security groups, and load balancers, - S3, - CloudWatch,
- Route53, - Secrets and encryption services
- Strong Kubernetes expertise, including:
- Cluster and workload operations
- Helm and manifest-based deployments
- RBAC and service accounts
- Namespaces, resource quotas, and network policies
- Ingress, services, DNS, and container networking
- Troubleshooting pods, deployments, nodes, and cluster-level issues
- Experience developing and maintaining Jenkins-based CI/CD pipelines.
- Proficiency in Python for scripting, APl integrations, automation, and operational tooling.
- Hands-on experience with Istio or a comparable service-mesh technology.
- Experience with Docker, Git, container registries, and Linux administration.
- Strong understanding of cloud and Kubernetes security practices, including secrets management, IAM, least-privilege access, vulnerability remediation, and policy enforcement.
Preferred Qualifications:
- Experience with Spinnaker for deployment orchestration or continuous delivery.
- Experience with Terraform, CloudFormation, Ansible, or other Infrastructure-as-Code tools.
- Experience with GitOes tools such as Argo CD or Flux.
- Experience with observability platforms such as Prometheus, Grafana, OpenSearch/ELK, Datadog, Splunk, or CloudWatch.
- AWS, Kubernetes, or cloud-native certifications.
- Experience supporting regulated, enterprise-scale, or multi-tenant Kubernetes environments.
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