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Kubernetes/Openshift Platform Engineer
Chandler, AZ (Hybrid 3 Days in 2 Days remote)
Job Description-
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.
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.
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.
Job Type & Location
This is a Contract position based out of Chandler, AZ.
Pay And Benefits
The pay range for this position is $70.00 - $89.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Chandler,AZ.
Application Deadline
This position is anticipated to close on Jun 30, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems And TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Chandler, AZ (Hybrid 3 Days in 2 Days remote)
Job Description-
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.
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.
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.
Job Type & Location
This is a Contract position based out of Chandler, AZ.
Pay And Benefits
The pay range for this position is $70.00 - $89.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Chandler,AZ.
Application Deadline
This position is anticipated to close on Jun 30, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems And TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Salary : $70 - $89