> Markdown version of [/jobs/ext/3605186-kubernetes-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3605186-kubernetes-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Kubernetes Platform Engineer

- **Company:** Microgreen Technologies Llc
- **Location:** Philadelphia, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Bash Shell, VoIP, Computer Networks, Continuous Integration, DevOps, Domain Name System (DNS), Middleware, Github, Python (Programming Language), Key Management, Linux System Administration, Networking Basics, 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
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/51293ea2-b5fa-47a8-9af7-c1d1c971647e

## About the Role

* 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.

## 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.