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Solutions Architect

Vistas Global
Baladiyat ad Dawhah, QAT
Full-time
Entry
Onsite
Discovered 1 weeks ago
Enterprise solution architectureMulti-tier architectureMicroservicesAPIsOAuthSAML
Free

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Enterprise solution architectureMulti-tier architectureMicroservices
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Job summary

The Solutions Architect designs scalable, secure, and technology-agnostic enterprise solutions.

The role ensures integration across applications, cloud platforms, and AI-driven development environments.

Key responsibilities

  • Design multi-tier architectures, microservices, APIs, and enterprise solutions.
  • Define security standards for OAuth, SAML, IAM, encryption, and data privacy.
  • Develop integration strategies across Oracle, React, SharePoint, REST APIs, and ESB platforms.
  • Provide architecture expertise across OCI, Azure, and AWS with CI/CD and DevOps practices.
  • Establish architectural guardrails and standards for AI-generated or vibe-coded applications.
  • Evaluate AI agents, LLMs, and AI development tools for enterprise use cases.
  • Review AI-generated solutions for security, scalability, performance, technical debt, and dependency risks.

Technical domains and tools

  • Enterprise architecture includes multi-tier architectures, microservices, APIs, and application integration.
  • Security scope includes OAuth, SAML, IAM, encryption, and data privacy.
  • Technology scope includes Oracle, React, SharePoint, REST APIs, ESB platforms, OCI, Azure, and AWS.
  • The role includes CI/CD, DevOps, AI agents, LLMs, and AI development tools.

Requirements

  • Ability to design scalable, secure, and technology-agnostic enterprise solutions.
  • Knowledge of multi-tier architectures, microservices, APIs, and enterprise solutions.
  • Knowledge of security standards including OAuth, SAML, IAM, encryption, and data privacy.
  • Experience developing integration strategies across enterprise applications, REST APIs, and ESB platforms.
  • Knowledge of OCI, Azure, AWS, CI/CD, and DevOps practices.
  • Ability to evaluate AI agents, LLMs, and AI development tools for enterprise use cases.
  • Ability to assess AI-generated solutions for security, scalability, performance, technical debt, and dependency risks.

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