Azure Solution Architect

Key requirements:

• Extensive background in software engineering with a strong transition into solution architecture.
• At least 3+ years of experience in technical architecture, solution design & Architecture and leading end-to-end enterprise technology initiatives.
• Demonstrated ability to architect and deliver complex, large-scale enterprise systems across diverse business domains.
• Deep expertise in cloud platforms (Azure preferred), distributed microservices, API-driven architectures, data platforms, security models, and modern integration patterns.
• Solid understanding of foundational AI/ML concepts, including data preprocessing, model development, training, and evaluation, with hands-on experience using Python or .NET tooling.
• Practical knowledge of AIOps methodologies with hands-on experience operationalizing, automating, and scaling AI workloads using Azure OpenAI and related Azure AI services.
• Strong grounding in DevOps practices and tooling such as Jenkins, Terraform, Docker, and Kubernetes for CI/CD and infrastructure automation.
• Familiarity with industry-recognized architectural frameworks, including TOGAF, Zachman, or SAFe, for structured design and governance.

Good to have:

• Azure Solutions Architect Expert certification is highly preferred , with additional certifications such as AWS Certified Solutions Architect, TOGAF, or equivalent considered a strong plus.
• Experience working within Agile/Scrum delivery methodologies.