What are the responsibilities and job description for the Kubernetes Engineer position at GDH?
Role Summary
A Kubernetes Platform Engineer specializing in Voice Services Modernization will lead the design, deployment, and operational support of cloud-native infrastructure for critical voice applications. This senior-level role is responsible for transforming legacy VM-based voice middleware into scalable, resilient Kubernetes environments. The engineer will collaborate with cross-functional teams to ensure seamless migration, automation, and optimized performance of voice services in cloud platforms.
Responsibilities
- Assess existing voice application infrastructure, dependencies, and VM-based deployment environments to inform modernization strategies
- Design and implement Kubernetes-based architectures tailored for low-latency and high-availability voice workloads
- Containerize voice middleware and backend applications, establishing scalable deployment and orchestration strategies
- Develop and maintain CI/CD pipelines to automate testing, deployment, and lifecycle management of voice services
- Create infrastructure automation scripts using Ansible and Terraform to support rapid provisioning and updates
- Deploy, configure, and support Kubernetes clusters across cloud platforms including AWS, Azure, GCP, OpenStack, or OpenShift
- Implement observability solutions such as centralized logging, monitoring, alerting, and dashboards to ensure system health and performance
- Apply operational best practices covering security, resiliency, scalability, and production readiness
- Support migration planning, testing, validation, and production cutover activities to ensure minimal service disruption
- Troubleshoot platform, application, and infrastructure issues in cloud-native environments, providing timely support
- Develop operational documentation and conduct knowledge transfer sessions with engineering and operations teams
- Collaborate with development, architecture, and operations teams to modernize legacy voice services and optimize deployment workflows
Qualifications
- Proven expertise in Kubernetes administration, deployment, lifecycle management, and troubleshooting
- Strong experience with Ansible, including role and playbook development
- Extensive experience in CI/CD pipeline creation, automation, and deployment strategies
- Proficiency in cloud platform management including AWS, Azure, GCP, or OpenStack
- Skilled in Infrastructure-as-Code using Terraform
- Experience with monitoring, logging, dashboarding, and alerting platforms like Prometheus, Grafana, ELK, Splunk, or Datadog
- Programming or scripting skills, with Python preferred
- Demonstrated ability to support production applications and troubleshoot complex infrastructure issues
- Deep understanding of high-availability and low-latency application architectures
- Knowledge of telecom and voice technologies such as SIP, SBCs, IMS, or voice middleware is advantageous
- Familiarity with cloud-native migration strategies from VM environments
- Experience with GitOps practices and modern deployment methodologies
- Strong communication skills and ability to work in a collaborative, fast-paced environment
- “In compliance with federal law, all persons hired must verify their identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire. Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.
Publishing Pay Range: $50.00 - $55.00 USD Hourly
This position is based in office and requires employee to work on-site.
Salary : $50 - $55