Kubernetes Platform Engineer

Microgreen Technologies Llc
Philadelphia, PA, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Bash Shell VoIP Computer Networks Continuous Integration DevOps Domain Name System (DNS) Middleware Github Python (Programming Language) Key Management Linux System Administration Networking Basics
+31 more
Octopus Deploy OpenShift Role-Based Access Control Reliability Engineering Ansible Prometheus Runbook Transmission Control Protocol (TCP) Datadog Data Logging Scripting Load Balancing Autoscaling Istio System Availability Grafana Kubernetes Helm Charts Backend Containerization Gitlab-ci Kubernetes Infrastructure Automation Frameworks Low Latency Linkerd (Service Mesh) Kamailio Terraform Splunk Dynatrace Docker Media Servers Jenkins

Job description

We are seeking a Kubernetes Platform Engineer to design, deploy, automate, and operationalize cloud-native infrastructure for mission-critical voice applications. You will lead the transformation of traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes platforms, using modern DevOps, CI/CD, infrastructure-as-code, and observability practices., * Design, build, and operate production Kubernetes clusters (on-prem and/or public cloud) for real-time voice workloads.

  • Migrate VM-based voice middleware and backend services to containerized, Kubernetes-native deployments.
  • Containerize applications and create Helm charts and Kustomize overlays for repeatable deployments.
  • Build and maintain CI/CD pipelines and GitOps workflows for automated build, test, and release.
  • Automate infrastructure provisioning and configuration with Terraform, Ansible, and scripting.
  • Tune clusters and workloads for low latency, high availability, and resilience (pod scheduling, autoscaling, affinity, resource limits, failover).
  • Configure Kubernetes networking for real-time traffic, including CNI plugins, ingress/load balancing, and service mesh where applicable.
  • Implement observability: metrics, logging, tracing, dashboards, and alerting.
  • Support production operations: incident response, root cause analysis, capacity planning, patching, and upgrades.
  • Apply security best practices, including RBAC, network policies, secrets management, image scanning, and compliance requirements.
  • Collaborate with voice engineering, network, security, and operations teams, and produce runbooks and technical documentation.

Requirements

  • 5+ years in platform engineering, DevOps, SRE, or infrastructure engineering.
  • 3+ years of hands-on production Kubernetes experience (OpenShift, EKS, AKS, GKE, or upstream).
  • Experience containerizing and migrating legacy or VM-based applications to Kubernetes.
  • Strong Docker/container runtime skills and Helm.
  • Infrastructure-as-code experience with Terraform and/or Ansible.
  • CI/CD experience with Jenkins, GitLab CI, GitHub Actions, or similar. GitOps experience (Argo CD or Flux) is preferred.
  • Observability tooling experience (Prometheus, Grafana, ELK/EFK, Splunk, or similar).
  • Strong Linux administration, networking fundamentals (TCP/UDP, DNS, load balancing), and scripting (Bash, Python, or Go).
  • Experience running highly available, latency-sensitive, or mission-critical production systems., * Background in telecom or voice/VoIP platforms: SIP, RTP, SBCs, IMS, media servers, or voice middleware (Kamailio, FreeSWITCH, Asterisk, or similar).
  • Experience with advanced Kubernetes networking for real-time workloads (Multus, SR-IOV, Calico, Cilium, host networking).
  • Service mesh experience (Istio, Linkerd).
  • Kubernetes certifications (CKA, CKAD, CKS).
  • Experience in large enterprise or carrier environments.
  • Familiarity with distributed tracing (Jaeger, OpenTelemetry) and chaos/resilience testing.

Soft Skills

  • Strong communication and the ability to work across infrastructure, development, and operations teams.
  • Self-directed, with a bias for automation and documentation.
  • Comfortable in a fast-paced modernization program with shifting priorities.

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