Senior Technology Engineer

Valuelabs

Role & 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 skills.