IN_Sr Associate_Devops Engineer_Emerging Businesses_Advisory_Bangalore

considerations.

Job Description & Summary:We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.

This role demands deep expertise in Python, PyTorch, and Hugging Face Transformers, along with hands-on experience in deploying solutions on Azure, AWS, or GCP. The candidate should be proficient in using orchestration frameworks like LangChain, developing APIs with FastAPI or Flask, and managing ML pipelines using tools such as MLflow or Weights & Biases. Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines, is essential.

Responsibilities:

• Design, deploy & manage cloud infrastructure on Azure
• Build & administer AKS clusters and containerized applications
• Develop & maintain CI/CD pipelines using Azure DevOps / GitHub Actions
• Implement Infrastructure as Code using Terraform and ARM/Bicep templates
• Manage configurations using Ansible and deployments using Helm
• Write automation scripts using Shell, Python, and PowerShell
• Administer Linux/Windows servers and implement security best practices
• Set up monitoring, logging & alerting using Azure Monitor, Log Analytics,
• Prometheus, Grafana
• Lead cloud migration initiatives and optimize Azure costs
• Design and manage Azure networking components, including Virtual
• Networks (VNet), Subnets, Network Security Groups (NSGs), and Azure Firewall
• Configure and manage hybrid connectivity solutions such as VPN Gateway and ExpressRoute
• Implement load balancing and traffic management using Azure Load
• Balancer, Application Gateway, and Azure Front Door
• Ensure secure and efficient DNS management using Azure DNS
• Monitor and troubleshoot network performance and connectivity issues
• Participate in on-call rotations and incident response

Mandatory skill sets: Azure Devops/Github actions, Kubernetes, terraform, Linux, Datdog/ grafana/prometheus,python, Azure services(Compute,storage,Azure networking, databases), On prem kubenetes

​Preferred skill sets: Shell/Powershell Scripting, Groovy,Azure Monitor, Log Analytics, Application Insights

Years of experience required:4 to 7 years

Education qualification:B.E/B.tech/M.tech/MCA