Senior Technology Engineer -DevOps, MLOps, Openshift, CI/CD

We are currently hiring for the position of Senior Technology Engineer for Dubai location. This role requires strong hands-on experience with DevOps, MLOps, Openshift, CI/CD tools.

Please find the detailed job description below. If you are interested, kindly share your updated profile at the earliest.

We are looking for candidates from INDIA and UAE.

Job Description:

Skills Required:

-CICD/OpenShift AI

-AI/ML (AIOps/MlOps/LLMOps)

Key Responsibilities:

Must have 7+ years of work experience.

CI/CD, DevOps & Platform Engineering

• Design and implement end-to-end CI/CD pipelines using tools such as Tekton, ArgoCD, GitLab CI, or GitHub Actions.
• Build automated deployment pipelines for ML models, API endpoints, and data pipelines.
• Manage and optimize containerized applications using Docker and Kubernetes/OpenShift.
• Implement IaC using Terraform / Ansible for infrastructure provisioning.
• Integrate security best practices (DevSecOps, image scanning, secrets management, policy enforcement).

OpenShift AI / OpenShift Data Science

• Deploy and manage OpenShift AI (RHODS) environments.
• Configure JupyterHub, Workbenches, Model Serving, and Distributed Training environments.
• Automate GPU/accelerator configurations and model-training workloads.
• Implement monitoring, autoscaling, and performance optimization for AI workloads.

MLOps / LLMOps

• Build and maintain ML/LLM model pipelines across training, evaluation, packaging, deployment, and monitoring.
• Develop reproducible training workflows using tools like:
• KServe, Seldon, BentoML, Ray, MLflow, Kubeflow, Airflow
• Implement model versioning, registry management, and feature store integrations.
• Optimize model serving, including LLM serving (vLLM, HuggingFace TGI, Triton, Inferentia, etc.).
• Implement real-time model monitoring (drift detection, performance, logging, tracing).

AIOps

• Use AI/ML techniques to enhance platform reliability—predictive scaling, anomaly detection, and intelligent alerting.
• Leverage tools like Prometheus, Grafana, ELK/EFK, Dynatrace, Datadog, New Relic for observability automation.
• Implement self-healing automation using event-driven workflows (Argo Events, Knative, Kafka).

Qualifications:

Education

· Degree, Post graduate in Computer Science or related field (or equivalent industry experience)

If this opportunity aligns with your experience and career goals, please share your updated resume at [email protected]