Integration Lead
Tata Consultancy Services
Hong Kong, Hong Kong

Job Description Required Technical Skill Set Azure Integration architect services Desired Competencies (Technical / Behavioral Competency) Must-Have

  • Good working experience in API Management
  • 6 + years of deep understanding of cloud-native software architecture patterns or practices such as microservices, evolutionary architecture, event driven architecture, pub / sub and message driven systems, service-oriented architecture, data integration, API first approaches on Azure
  • Sound knowledge in Azure APIM, Azure Event Grid, Event Hub, Azure App Service, SignalR, SQL Db, LogicApps, Functions, AKS
  • Solid understanding of Agile Methodology
  • Deploy infrastructure and API related azure resources through CI CD pipeline Azure CLI scripts
  • Experience in configuring & monitoring different attributes and handling scale up and scale down scenarios for the application in Azure
  • Provide best practices around provisioning production and non-production environments on Azure to optimize the usage
  • Work to ensure that all components work together to meet objectives and performance goals as defined in the requirements.
  • Excellent problem solving, analytical, and critical thinking skills
  • Good-to-Have Agile certification Role descriptions / Expectations from the Role 1 Would be part of the architecture and design for high performance scalable API and Microservices solutions on Microsoft Azure 2 Coding inbound and outbound policies in Azure API Management.

    3 Deploy infrastructure and API related azure resources through CI CD pipeline Azure CLI scripts 4 Discuss with BU for Requirement Analysis and understand the project needs.

    Carry out detailed analysis to understand requirements and discuss with customer architects for designing the solutions 5 Ensure customer architecture & design patterns, standards & guidelines are followed by Scrum teams 6 Provide Support & Co-ordinate with support teams in incident triaging (if needed) 7 Enable adoption of data & analytics industry best practices in design, development and maintenance


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