LTM Tech Azure Devops Engineer F2F Drive on 10th Oct @Pune No Walkin!

LTM; Pune District; Hybrid; INR 2,400,000 - 3,600,000; Full time

Job summary

LTM in India seeks a cloud architect to build and maintain VM, GPU clusters and cloud native DEV/PROD ecosystems across Azure and AWS.

You will design landing zones, automate DevOps/DataOps/MLOps pipelines, and optimize cloud spend while ensuring security and performance.

Qualifications

• Experience designing cloud architectures for large scale enterprise environments.
• Hands-on with Azure and AWS platform services and security configurations.
• Ability to provision landing zones, automate cloud native DevOps pipelines and monitor cost and performance.

Responsibilities

• Set up and maintain VMs, containers, and GPU clusters for cloud native DEV/PROD ecosystems.
• Define migration strategies and drive cloud migration exercises on Azure and AWS.
• Provision and automate cloud native DevOps, DataOps and MLOps pipelines for continuous release of AIML capabilities.
• Build cloud service catalogs and automated data processing and ML workflows.

Skills

Cloud architecture

Azure

AWS

DevOps

MLOps

Containerization

GPU clusters

Tools

Azure

AWS

Kubernetes

Terraform

Job description

Responsible for overall setup and maintenance of VMs Containers GPU Clusters for establishing cloud native DEV and PROD ecosystems
Setup and configure Cloud native ecosystem for AIML and data driven solutions
Define Cloud Migration strategy and drive Cloud migration exercises over Azure and AWS platforms
Check application for cloud readiness and analyze interdependencies for application database and its middleware Data mining using stateoftheart methods
Should be able to provision Landing Zones setup and configure Cloud Infra and platform services and deploy applications using Serverless cloud offerings
Should be able to provision and automate cloud native DevOps DataOps and MLOps pipelines enabling continuous release of cloud native AIML capabilities
Should be able to provision GPU Clusters ML Containers for setting up Foundation Models and perform finetuning and Model optimization
Should be able to Build cloud service catalogues cloud native blueprints and automated data processing and ML workflows
Should be able to monitor govern and optimize the usage of Cloud Services by following FinOps best practices
Skills and Qualifications
Excellent understanding and experience of cloud architecture terms like Virtual Machine Serverless Computing Private Cloud Public Cloud Hybrid Cloud Web Services API GW Auto Scaling Cloud Migration Content Delivery Network CDN Event Driven Architecture DNS Micro services Middleware IoT devices Bandwidth IOPS FTPSSLVPC Data Services etc
Understanding of cloud security setup and configurations like IPS HIPS Anti Malware Antivirus Virtual Firewalls IAM RBAC MFA Data Encryption Container Security etc
Understanding of different types of cloud storage like Block Storage Object Storage Archival Storage and ability to use them appropriately for optimizing cost and performance of application
Expert level experience of using Azure OR AWS Infra Platform Data and Application services
Experience of designing and implementing Cloud native solutions for large scale enterprise customers over AWSAzure platform
Good understanding of using Cloud native services for developing AIML and data driven solutions
Should have experience in completing lift and shift of inhouse application to cloud
Great communication and presentation skills Should have experience in working in a fastpaced team culture
Should have technology leadership skills with analytical mind and business acumen
Good to have knowledge of Data Engineering DataOps MLOps and AIML solutions development