Cloud Infrastructure Engineer

• We are seeking a DevOps Engineer with strong hands-on experience across Kubernetes, cloud and hybrid infrastructure, CI/CD, GitOps, observability, and Infrastructure-as-Code. This role supports the design, automation, deployment, operation, and modernization of production-grade Kubernetes and cloud-native platforms across on-premises and public cloud environments., Kubernetes and Platform Operations
• Deploy, manage, upgrade, and troubleshoot Kubernetes clusters across on-premises, public cloud, and hybrid environments.
• Support Kubernetes lifecycle operations using tools such as kubeadm, EKS, AKS, GKE, Rancher, OpenShift,

Anthos, or Spectro Cloud Palette.

• Implement and maintain Kubernetes RBAC, network policies, ingress controllers, storage integrations, and security frameworks.
• Verify cluster health, workload readiness, node status, resource utilization, and platform reliability after changes or deployments.

Automation, Infrastructure-as-Code, and GitOps

• Automate infrastructure provisioning and platform operations using Terraform, Helm, Ansible, shell scripting, and Git-based workflows.
• Build reusable automation modules, templates, and runbooks that enable consistent infrastructure delivery across staging and production environments.
• Implement and manage GitOps workflows using tools such as Argo CD or Flux for cluster, platform, and application configuration.
• Maintain disciplined branch, pull request, and change sequencing practices, especially for high-impact or destructive operational actions.

CI/CD and Application Delivery

• Integrate Kubernetes platforms with modern CI/CD workflows for safe, repeatable, and auditable application delivery.
• Support CI/CD systems such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.
• Partner with development teams to improve deployment reliability, rollback processes, release automation, and environment consistency.

Monitoring, Logging, and Troubleshooting

• Implement and support observability for Kubernetes and cloud platforms using tools such as Prometheus, Grafana, Loki, Fluentd/Fluent Bit, ELK/EFK, SignalFX, Splunk

Cloud, or equivalent platforms.

• Troubleshoot failed pods, workload performance issues, memory leaks, failed deployments, network connectivity, storage failures, and cluster degradation events.
• Create and maintain operational dashboards, alerts, runbooks, and escalation procedures for production environments.

Cloud, Hybrid, and Infrastructure Support

• Operate workloads across AWS, Azure, GCP, VMware, and hybrid/on-premises infrastructure.
• Support cloud networking, identity, security, compute, storage, backup/restore, and platform reliability requirements.
• Use backup and restore tools such as Velero, Kasten, Stash, or equivalent solutions where appropriate.
• Assist with cloud modernization, migration support, environment validation, and production readiness activities.

Collaboration and Documentation

• Collaborate with applications, DevOps, SRE, security, and operations teams to align platform capabilities with business and delivery goals.
• Serve as a technical advisor on cloud-native architecture, containerization practices, Kubernetes operations, and automation patterns.
• Create and maintain technical documentation, operational runbooks, implementation notes, and reference architecture., * This position is primarily performed during regular business hours, but may require occasional work outside standard hours, including evenings and weekends, based on business demands, client requirements, production issues, and project deadlines.
• This role may require limited travel for client meetings, on-site engagements, internal meetings, training, or other business purposes. Travel is expected to be light and intermittent unless otherwise defined by the engagement.
• The successful candidate must be able to work a flexible schedule as needed to meet business objectives and support client, project, and operational needs.
• Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions of this position.

• The ideal candidate has a DevOps, SRE, or platform engineering background; is comfortable working with application, security, and operations teams; and can support customers through reliable, repeatable, and secure delivery of infrastructure and application platforms. Exposure to Spectro Cloud Palette or similar Kubernetes management platforms is preferred, but training and enablement may be provided where needed., * Strong hands-on experience in DevOps, SRE, Cloud Engineering, or Platform Engineering roles.
• Solid Kubernetes fundamentals, including cluster operations, networking, storage, security, workload management, and troubleshooting.
• Practical experience with CI/CD systems and modern software delivery workflows.
• Strong experience with Git, GitOps principles, branch/PR workflows, and change-control discipline.
• Proficiency with Infrastructure-as-Code and automation tools such as Terraform, Helm, Ansible, and shell scripting.
• Experience operating infrastructure in at least one major cloud provider: AWS, Azure, or GCP.
• Experience with Linux administration, including SSH, root-level operations, environment variables, package management, service troubleshooting, and scripting.
• Familiarity with cloud networking, DNS, ingress, load balancing, security, identity, and observability concepts.
• Ability to troubleshoot complex issues spanning Kubernetes, containerized workloads, cloud infrastructure, networking, storage, CI/CD, and platform tooling.
• Ability to learn new platforms quickly and support customers through cloud, platform, and application modernization journeys., * Exposure to Spectro Cloud Palette or similar Kubernetes management platforms such as Rancher, OpenShift, Anthos, or Tanzu.
• Experience with managed Kubernetes services such as EKS, AKS, or GKE.
• Experience with VMware vSphere/ESXi or other private cloud/on-premises platforms.
• Experience with observability stacks such as Prometheus, Grafana, Loki, Fluentd/Fluent Bit, ELK/EFK, SignalFX, or Splunk Cloud.
• Experience with service mesh technologies such as Istio or Linkerd.
• Experience with backup/restore and disaster recovery strategies for Kubernetes platforms.
• Open-source contributions or active participation in Kubernetes, DevOps, cloud-native, or infrastructure automation communities.
• Exposure to Incus, Platform9, OpenStack, Cloud 9, or other private cloud and virtualization platforms is a plus.

Certifications: At least one of the following certifications is preferred; CKA is highly preferred for Kubernetes-focused engagements:

• Certified Kubernetes Administrator (CKA) - highly preferred
• Certified Kubernetes Application Developer (CKAD)
• Certified Kubernetes Security Specialist (CKS)
• AWS Certified DevOps Engineer - Professional
• Google Professional Cloud DevOps Engineer
• Microsoft Azure DevOps Engineer Expert or Azure Administrator Associate
• HashiCorp Certified: Terraform Associate
• Linux Foundation Certified System Administrator (LFCS)

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