DevOps Engineer with Rafay

McLean, VA, US • Posted 13 hours ago • Updated 1 hour ago
Contract Independent
Contract Corp To Corp
Contract W2
On-site
Fitment

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Job Details

Skills

  • Python
  • AWS
  • Rafay

Summary

Role: DevOps Engineer

Location: McLean, VA(Onsite)

Hands-on experience with Rafay for Kubernetes platform or multi-cluster operations.

Job Description

We are seeking an experienced DevOps Engineer with a strong AWS and Kubernetes background to support cloud-native platform engineering, CI/CD automation, and application delivery. This role requires hands-on experience with Rafay for Kubernetes operations and multi-cluster management. Candidates with strong experience in comparable Kubernetes management platforms, such as Rancher, Red Hat OpenShift, VMware Tanzu, or Amazon EKS, may be considered if they can demonstrate the ability to rapidly become productive with Rafay.

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:

  • 4+ 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, API 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 GitOps 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91135852
  • Position Id: 2026-248
  • Posted 13 hours ago
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