Technical Manager
On-site · Gurugram, Haryana, India
Job Summary
DevOps Engineer to support the development and deployment of an AI-powered solution, building and managing cloud-native CI/CD pipelines, containerized deployments, and scalable infrastructure to enable seamless integration of AI/ML models, data services, and audit dashboards. Ensure high availability, compliance, and performance in a regulated environment. Strong experience in Azure Cloud (Functions, Blob Storage, ML Studio, Container Apps, Cognitive Search), CI/CD tools (Azure DevOps, GitHub Actions, Jenkins), containers and orchestration (Docker, Kubernetes, Helm), IaC (Terraform, ARM templates, Ansible), monitoring/logging (Azure Monitor, Prometheus, Grafana, ELK/EFK), Python-based deployments, and security/compliance in regulated industries. Excellent problem-solving, performance tuning, and cost optimization, with collaboration skills in Agile/Scrum teams. Nice-to-have: GenAI/NLP models (LangChain, RAG, LLaMA, OpenAI API), multi-tenant data lake architecture, and test automation pipelines (Playwright, PyTest).
Required Qualifications
- Bachelor's Degree in Computer Science or related science field or equivalent
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