Sr Azure DevOps Engineer
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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
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 opensource tools for logging and monitoring of infrastructure (e.g. Prometheus/Grafana)
Strong communication and collaboration skills
- Good attitude and selfmotivated
Benefits
About Veltris
- Where Innovation Acceleration and Transformation meet to deliver highROI technology and business solutions.
- Our design thinking approach to agile software development coupled with premium fullstack capabilities and a cuttingedge innovation mindset accelerates timeto market. This results in longterm strategic and competitive advantages for our clients and partners.
- Veltris Innovate Accelerate Transform to enable technologydriven Enterprise Business and Industry transformations.
Relevant Experience: 5 - 10 years Work Location: Hyderabad Immediate Joiners/ Serving NP candidates would be considerable 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
Employment Type
Full Time
Key Skills
