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Openstack Infrastructure Engineer Jobs (NOW HIRING)

... . Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise ... Openstack Engineer Location: Wilmington, DE Duration: 1+ year contract - MUST DO A "MEET AND GREET ...

Senior Cloud Engineer (OpenStack)

Dallas, TX ยท On-site

$55.25 - $73.75/hr

... the infrastructure. Responsibilities : โ€ข Design, deploy, and maintain a robust and scalable ... Required : โ€ข 7-10 years of experience in a cloud engineering or similar role, with a focus on ...

... based infrastructure in R&D lab environments, ensuring high availability, scalability, and ... This is a hands-on technical role working closely with engineering and DevOps teams across global ...

IaaS Engineer

$40 - $60/hr

Design, implement, and manage Infrastructure-as-Code (IaC) solutions using AWS, Ansible, Python, and shell scripting (Bash/Python) . * Contribute to OpenStack migration efforts, ensuring a seamless ...

This role requires a python software developer with a passion for automating infrastructure as code ... Ensure the success of OpenStack and Ceph on multiple architectures * Work from home with global ...

OpenStack Cloud lead Engineer

Philadelphia, PA ยท On-site

$56.25 - $75.25/hr

... infrastructure-as-code. 2. Understanding of DevOps concepts. 3. Understanding of large-scale ... Experience with OpenStack Ansible a plus. 5. Hands-on experience with OpenStack in an Ops role ...

Showing results 21-40

Openstack Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do openstack infrastructure engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for openstack infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What states have the most Openstack Infrastructure Engineer jobs?

States with the most job openings for Openstack Infrastructure Engineer jobs include:

What are popular job titles related to Openstack Infrastructure Engineer jobs?

For Openstack Infrastructure Engineer jobs, the most frequently searched job titles are:

Infographic showing various Openstack Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Kubernetes Platform Engineer - Voice Services Modernization

Philadelphia, PA โ€ข On-site

Contractor

Re-posted 8 days ago


Job description

Kubernetes Platform Engineer – Voice Services Modernization 
Skills:
 Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, CI/CD pipeline development and automation experience
Experience level: Mid-senior 
Experience required: 10 Years 
Education level: Bachelor’s degree

Please Note: We are only looking for W2 Candidate's!

Position Summary
The Kubernetes Platform Engineer – Voice Services Modernization is responsible for designing, deploying, automating, and operationalizing cloud-native infrastructure for mission-critical voice applications. This role focuses on transforming traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes-based platforms using modern DevOps, CI/CD, infrastructure-as-code, and observability practices.
The engineer will work across infrastructure, application modernization, automation, and operational support to ensure highly available, low-latency voice services are successfully migrated into production cloud-native environments.
Core Responsibilities

  • Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments
  • Design Kubernetes-based architectures optimized for latency-sensitive and high-availability voice workloads
  • Containerize middleware and backend applications and establish scalable deployment strategies
  • Build and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management
  • Develop infrastructure automation using Ansible and Terraform
  • Deploy, configure, and support Kubernetes and cloud platforms across AWS, Azure, GCP, OpenStack, or OpenShift
  • Implement observability solutions including centralized logging, monitoring, alerting, and dashboarding
  • Apply operational best practices for security, resiliency, scalability, and production support
  • Support staged migration planning, testing validation, and production cutover activities
  • Troubleshoot application, platform, and infrastructure issues across cloud-native environments
  • Create operational documentation and provide knowledge transfer to engineering and operations teams
  • Collaborate with development, operations, and architecture teams to modernize legacy voice services

Required Technical Skills

  • Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting
  • Strong Ansible experience including role and playbook development
  • CI/CD pipeline development and automation experience
  • Cloud platform administration (AWS, Azure, GCP, OpenStack)
  • Infrastructure-as-Code using Terraform
  • Experience with monitoring, logging, dashboarding, and alerting platforms
  • Scripting or programming experience (Python preferred)
  • Production applications support and operational troubleshooting
  • Understanding of high-availability and low-latency application architectures

 Preferred / Nice-to-Have Skills

  • Red Hat OpenShift experience
  • AI/ML platform exposure or AI-assisted operations tooling
  • Telecom or voice application experience (SIP, SBCs, IMS, voice middleware)
  • Experience supporting cloud-native migrations from VM environments
  • GitOps and modern deployment methodologies
  • Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog
  • Outcome / Business Objective
  • Deliver a production-ready, Kubernetes-based runtime environment for voice middleware and backend services that improves scalability, resilience, automation, and operational efficiency while minimizing service disruption and migration risk.

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