Why this role stands out
This role offers a significant opportunity to lead the modernization of critical voice services by leveraging your expertise in Kubernetes and cloud-native technologies, fostering substantial career growth. You'll thrive here if you are a skilled mid-senior engineer passionate about building scalable, resilient infrastructure and driving innovation through DevOps practices. Embrace the chance to make a real impact by applying for this exciting position!
Quick overview
Job description
Role: Kubernetes Platform Engineer – Voice Services Modernization
Location: Philadelphia, PA (hybrid, 1-2 days/week onsite). Open to relocation.
Work authorization: Any valid work authorization, on W2.
Position Summary
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.
The role spans infrastructure, application modernization, automation, and operational support. The goal is highly available, low-latency, carrier-grade voice services.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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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