Highlights
Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
Numbers & Facts
| Location | Scottsdale, AZ |
| Industry | Computer/IT Services |
| Salary | $50 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.
Job Title: GCP Kubernetes Engineer
Location: Scottsdale, AZ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Location: Scottsdale, AZ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description:
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Required Qualifications
- Strong experience with Kubernetes and GCP (GKE)
- Strong experience in IaC (Terraform), Helm, and GitHub Actions
- Proficiency in Python, Ansible, Node.js
- Strong experience with Prometheus and Grafana observability stack
- Solid understanding of Linux systems and networking fundamentals
- Experience in incident management, on-call support, and production triage
- Hands-on experience with automation and CI/CD pipelines
- Strong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting)
Preferred Qualifications
- Google Cloud Architect Certification
- Certified Kubernetes Administrator (CKA)
- Experience in Java/J2EE, Spring Boot
- Experience supporting or operating ML/AI platforms or pipelines (MLOps)
- Exposure to AIOps tools, anomaly detection, or predictive analytics systems
- Experience with large-scale distributed systems and microservices architecture
- Experience with GPU-based workloads or ML infrastructure on GCP
- Knowledge of Kubeflow, Vertex AI, or ML pipelines
Years of Experience:
- 14.00 Years of Experience
TekWissen Group is an equal opportunity employer supporting workforce diversity.
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.