Sr. Azure DevOps Engineer

4 weeks ago

Hyderabad, India Veltris Full time
Job Description

Veltris is looking for Azure Devops Engineer experience for Data & AI Practice,

 

Designation – Sr. Azure DevOps Engineer

Experience - 5 -10 Years 

Working Days - 5 Days

Location – Hyderabad

Notice Period – Immediate or 15 days maximum.



Requirements

Mandatory Skills

·       Experience with: Terraform, Docker / Kubernetes, Helm, Azure cloud.

·       Experience with DevOps tools like Git, Jenkins etc

·       Good skills on DevOps and entire CI/CD Process

·       Proficient in scripting, and Git and Git workflows

·       Manage VPCs, security groups, and user accounts on the cloud

·       Experience in developing solutions on cloud

·       Experience with containerization and orchestration technologies (Kubernetes, docker)

·       Experience with workflow management systems (Airflow, Kubeflow)

·       Setting up of open-source tools for logging and monitoring of infrastructure (e.g., Prometheus/Grafana)

·       Experience deploying machine learning models into production and implementing systems to support MLOps processes

·       Strong communication and collaboration skills

  • Good attitude and self-motivated


Benefits

About Veltris

 

  • Where Innovation, Acceleration and Transformation meet to deliver high-ROI technology and business solutions.
  • Our design thinking approach to agile software development coupled with premium full-stack capabilities, and a cutting-edge innovation mindset accelerates time-to- market. This results in long-term strategic and competitive advantages for our clients and partners.
  • Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations.


Requirements
Mandatory Skills · Experience with: Terraform, Docker / Kubernetes, Helm, Azure cloud. · Experience with DevOps tools like Git, Jenkins etc · Good skills on DevOps and entire CI/CD Process · Proficient in scripting, and Git and Git workflows · Manage VPCs, security groups, and user accounts on the cloud · Experience in developing solutions on cloud · Experience with containerization and orchestration technologies (Kubernetes, docker) · Experience with workflow management systems (Airflow, Kubeflow) · Setting up of open-source tools for logging and monitoring of infrastructure (e.g., Prometheus/Grafana) · Experience deploying machine learning models into production and implementing systems to support MLOps processes · Strong communication and collaboration skills Good attitude and self-motivated

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