Position: DevOps Engineer
Company: Skelia
Experience required: 3y
English level: upper

You will design, configure, deploy and support DevOps principles and patterns in the process of Product delivery across all the stages up to Production. Also, you will be responsible for authoring, validating, and deploying infrastructure by using the IaC approach while following the agreed standards.

About our client
Our client is a global mining company with a world-class portfolio of products that are used by a billion consumers every day. Our client relies on data and cutting-edge data science to enhance their operations. They also use advanced machine learning and artificial intelligence to optimize their processes.

Mission
Creating automated Infrastructure and App deployments for supported Products using Azure DevOps
Ensuring Data Analytics DevOps Gates, SDLC, and Security Standards are met in Product delivery
Ensure Infrastructure is built with best-practice security
Develop reusable artifacts for IaC
Following Application Development Code management standards.
Creating, Updating, and Maintaining Resource definitions in Git Repository
Delivering automation scripts for Products
Help and Ensure Non-Functional Requirements are defined and met
Monitor practices' adoption and quality against agreed KPIs
Work with Solution Architects to ensure Infrastructure meets Product’s needs
Secure Product Application and Cloud Infrastructure
Capacity planning and cost control check
Requirements
Bachelor’s Degree in Computer Science, Software Engineering or Engineering
Hands-on experience in Azure DevOps, PaaS, and IaaS Platform Architecture, Azure Platform Security
Strong experience in the software development lifecycle, Infrastructure as Code, Azure DevOps Pipelines, and Automation
Expert knowledge of Azure Monitoring, Dashboarding and Alerting
Skilled in Azure Infrastructure (VM, AKS, etc..), AAD Management, Azure Networking Services (Front Door, WAF, App Gateway, etc.)
Good understanding of Networking and Security within Azure
Nice to have
Experience (Infrastructure, Networking, and Security) of most of these Data Analytics PaaS services, Azure Data Factory, Azure Data Lake, Azure Data Bricks, Azure SQL Server, Azure Synapse, Azure Analysis Services, with deep knowledge in several of these services
DataOps
Azure Cloud certifications and industry experience will be a plus