OpenShift ( Freelance Interviewer)

Experience - 5 to 10 years

About the company

We are an HR Tech company based in Trivandrum, offering hiring support to MNCs across India through interview ,assessments and recruitment services. We have a network of 4000+ experienced professionals who take interviews in their available time slots.

We’re looking for experienced professionals across various domains who can take up freelance interviews for our clients. Interviews are conducted remotely, and schedules are flexible based on your availability. And currently we are looking at panels for the given description.

Skills required

Mandatory skill (atleast 5 years experience)

• Strong Experience in Openshift, OpenShift AI, Kubernetes, and Helm charts
• Very Strong experience in Automation (with Jenkins, Groovy, Python, Ansible and Terraform)

Atleast Minimal experience in below (Atleast 6 months experience)

• Integrate and optimize inference engines such as Triton and vLLM for scalable model serving.

Responsibilities:

• Build and maintain containerized applications using OpenShift, OpenShift AI, Kubernetes, and Helm charts.
• Integrate and optimize inference engines such as Triton and vLLM for scalable model serving.
• Lead model deployment, monitoring, and lifecycle management in production environments.
• Implement monitoring and alerting solutions using Grafana and Prometheus.
• Collaborate on GenAI and LLM projects, including Agentic AI initiatives.
• Automate CI/CD pipelines and infrastructure using Jenkins, Ansible, Groovy, and Terraform.
• Develop automation scripts and tools in Python.
• Architect, deploy, and manage AI/ML solutions on AWS Cloud; experience with Bedrock and SageMaker is a plus.
• Build and enhance AI Platform ( both on premise and in public cloud).
• Make is scalable, high performance and resilient
• Contribute to future road map and key architecture decisions.

Requirements:

• Strong skills in OpenShift, OpenShift AI, Kubernetes, Helm, and container orchestration.
• Hands-on experience with inference engines (Triton, vLLM) and model serving.
• Proficiency in model deployment, monitoring, and MLOps best practices.
• Familiarity with Grafana, Prometheus, Jenkins, Ansible, Groovy, Terraform, and Python.
• Understanding of GenAI, LLMs, and Agentic AI concepts.
• Experience with AWS Cloud services; Bedrock and SageMaker knowledge is desirable.
• Excellent problem-solving and communication skill