Lead Cloud Engineer (Azure)

Job highlights

• . Good experience of enterprise solution shaping and Microsoft Azure Cloud architecture development including excellent documentation skills

• Experience in building big data solutions using Azure and AWS services like analysis services,DevOps / Databases like SQL server,CosmosDB,Dynamo DB,Mongo DB and web service integration . .

• Provides technical expertise, to include addressing and resolving complex technical issues.

• Demonstrable experience assessing application workloads and technology landscape for Cloud suitability, develop case and Cloud adoption roadmap

• Expertise on data ingestion, data loading, Data Lake, bulk processing, transformation using Azure services and migrating on-premises services to various Azure environments.

• Good experience of a range services from the Microsoft Azure Cloud Platform including Infrastructure and Security related services such as Azure AD, IaaS, Containers, Storage, Networking and Azure Security.

• Good experience of enterprise solution shaping and Microsoft Azure Cloud architecture development including excellent documentation skills.

• Good understanding of Azure and AWS cloud service offering covering Compute, Storage, Network, WebApp, Functions, Gateway, Clustering, Key Vault, AD.

• Design and Develop high performance, scalable and secure cloud native applications on Microsoft Azure along with Azure best practices/recommendations.

• Design, implement and improve possible automations for cloud environments using native or 3rd party tools like Terraform, Salt, Chef, puppet, Databricks, etc.

• Creating business cases for transformation and modernization, including analysis of both total cost of ownership and potential cost and revenue impacts of the transformation

• Advise and engage with the customer executives on their Azure and AWS cloud strategy roadmap, improvements, alignment by bringing in industry best practice/trends and work on further improvements with required business case analysis and required presentations

• Providing Microsoft Azure architecture collaboration with other technical teams

• Documentation of solutions (e.g. architecture, configuration and setup).

• Working within a project management/agile delivery methodology in a leading role as part of a wider team.

• Provide effective knowledge transfer and upskilling to relevant customer personnel to ensure an appropriate level of future self-sufficiency.

• Assist in transition of projects to Enterprise Services teams.

Skills Required:

• Strong knowledge of Cloud security standards and principles including Identity and Access management in Azure.
• essential to have strong, in-depth and demonstrable hands-on experience with the following technologies:
  • Microsoft Azure and its relevant build, deployment, automation, networking and security technologies in cloud and hybrid environments.
  • Azure stack hub , Azure stack HCI/Hyper-V clusters.
  • Microsoft Azure IaaS , Platform As A Service ( PaaS ) products such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services
  • Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C
  • Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics
  • Microsoft Windows server, System Centr, Hyper-V and storage spaces
  • Knowledge of PowerShell, Git, ARM templates and deployment automation.
• Hands-on experience on Azure and AWS Cloud native automation framework to perform automation along with experience on Python, Azure services like Databricks, Data factory, Azure functions, Streamsets etc.
• Hands-on experience with IAC (Infrastructure as Code), Containers, Kubernetes (AKS), Ansible, Terraform, Docker, Linux Sys Admin (RHEL/Ubuntu/Alpine), Jenkins, building CI/CD pipelines in Azure Devops.
• Ability to define and design the technical architecture with best suited Azure components ensuring seamless end-end workflow from Data source to Power BI/Portal/Dashboards/UI.

Skills Good to Have:

• Experience in building big data solutions using Azure and AWS services like analysis services, DevOps / Databases like SQL server, CosmosDB, Dynamo DB, Mongo DB and web service integration
• Possession of either the Developing Microsoft Azure Solutions and Architecting Microsoft Azure certifications.