Sr. Azure DevOps Engineer

4 weeks ago


Delhi, India Veltris Full time
Job DescriptionVeltris 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.

RequirementsMandatory 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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