Sr Azure Devops Architect

Designation Sr. Azure Devops Architect
Experience 10 17 Years
Working Days 5 Days
Location Hyderabad
Notice Period Immediate or 15 days maximum.

Job Description

Veltris is looking for a Sr. DevOps Architect to join our AI Center of Excellence (CoE). We are a team of Data Scientists Data Analysts Program Managers Product Managers and MLOps engineers incharge of building the next generation of AI products. A successful candidate will have technical depth a positive attitude and a passion for achieving results

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 architecting and 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)

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

Strong communication and collaboration skills

Good attitude and selfmotivate

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: 7 - 15 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 and architecting 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