Senior Cloud Platform Engineer Jobs in Arizona

Location: Onsite 3 days a wk; Hybrid – Office location is Chandler AZ

Required Pay Scale: $75-80hr W2

Due to client requirements this role is only open to USC or GC candidates

Summary

We are seeking an experienced Kubernetes AI Engineer to design, build, and optimize enterprise-scale AI platform infrastructure that supports model development, training, and inference workloads. This role requires deep expertise in Kubernetes, containers, Linux, and platform engineering, with a strong focus on scalability, security, performance, observability, and automation. The ideal candidate will partner closely with AI/ML engineers, data scientists, DevOps teams, and infrastructure teams to deliver resilient, compliant, and high-performing AI platforms in complex enterprise environments.

Required Skills

- Design and engineer Kubernetes-based AI platform infrastructure for model development, training, inference, and supporting services.
- Build and manage containerized environments using Docker, Kubernetes, Operators, and Helm charts across development and non-development environments.
- Optimize cluster performance, workload placement, scalability, resiliency, and resource utilization for AI/ML workloads.
- Implement security and compliance controls including RBAC, network policies, pod security, secrets management, and enterprise standards.
- Establish observability through monitoring, logging, dashboards, and alerting using tools such as Prometheus and Grafana.
- Develop automation for deployment, configuration, patching, and operational workflows using Python, shell scripting, and infrastructure-as-code practices.
- Collaborate with AI/ML engineers, data scientists, DevOps, and infrastructure teams to translate business and technical requirements into scalable platform solutions.
- Create and maintain architecture documents, runbooks, standards, and operational procedures to support reliable platform delivery.
- 5+ years of experience in Kubernetes, container platform engineering, Linux systems, or AI/ML infrastructure in enterprise environments.
- Strong expertise in Kubernetes architecture, cluster deployment, orchestration, and lifecycle management.
- Hands-on experience with Docker, container runtimes, Operators, and Helm charts.
- Strong Linux administration and troubleshooting skills across compute, networking, and storage layers.
- Proficiency in Python, shell scripting, YAML, and JSON for automation and platform engineering.
- Experience with observability and monitoring tools such as Prometheus, Grafana, and logging frameworks.
- Knowledge of Kubernetes security practices including RBAC, network policies, pod security, secrets management, and vulnerability awareness.
- Experience supporting AI/ML platforms, model deployment pipelines, or GPU-enabled workloads in enterprise environments.
- Familiarity with CI/CD, GitOps, infrastructure automation, and environment standardization practices.
- Strong problem-solving and analytical thinking skills in complex, fast-paced environments.
- Clear written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
- Collaborative mindset with experience working across AI/ML, DevOps, CTO, CIO, and infrastructure teams.
- Strong documentation discipline and attention to detail.
- Ability to balance strategic thinking with hands-on execution and delivery.
- Self-starter mindset with ownership, accountability, and continuous improvement orientation.

Desired Skills

- Kubernetes certifications such as CKA or CKAD.
- Understanding of Vulnerability Management, Non-Permitted Technology Remediations, Enterprise Controls.
- Prior experience building agents and agentic AI solutions in enterprise.
- Knowledge of Copilot Studio to build apps would be nice to have.
- Experience with AI/ML frameworks and model-serving platforms such as PyTorch, TensorFlow, Triton, or vLLM.
- Familiarity with GPU platforms, NVIDIA software stack, or high-performance AI infrastructure.
- Experience with OpenShift, hybrid cloud, or enterprise platform modernization initiatives.

About Matlen Silver

Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.

Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600.