Job Description

  • Create architectural solutions and the roadmap for enterprise architecture, taking input and partnership with all the key business and infrastructure partners.
  • Contribute to the IT strategy to ensure alignment with enterprise architecture practices and goals.
  • Partner with business and technology subject experts to translate business requirements into technological solutions.
  • Coordinate, review, and approve architectural solutions to ensure they comply with standards, policies, and guidelines.
  • Monitor and review industry, technology, and market trends to figure out their potential impact or application for the business.
  • Participate in digital strategy workshops and provide digital business model consulting within IT teams.
  • Drive continuous architectural review process and recommend changes to transform services through adopting new and improved architectures.
  • Continuously assess industry trends, new concepts, and how they can influence outcomes.
  • Review of Generative AI requirements in Infrastructure and Operations.


  • Bachelor’s or Master’s in business management, computer science, computer engineering, or a related field of study with 10+ years of experience leading and developing architectures for various aspects of the infrastructures.
  • Experience in enterprise architecture or application architecture, application development, and systems management
  • Thorough knowledge and hands-on experience of various aspects of infrastructure stacks related to network, authentication, compute platforms, storage platforms, architecture frameworks, and public cloud platforms
  • Comprehensive knowledge of building, handling, and representing Infrastructure as a Service, Platform as a Service, and Software as a Service
  • Ability to think critically and solve problems
  • Demonstrated technology skills across multiple IT domains (e.g., Identity & Access Management, Business Applications infrastructure, Security)
  • Good knowledge of Generative AI models and frameworks.
  • Deep hands-on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
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