Our client in the technology consulting space is seeking a Backend Platform SME specializing in Generative AI platforms who brings strong technical leadership, architectural expertise, and hands-on experience building scalable backend solutions on Azure. The ideal candidate will have deep expertise in API design, cloud-native architecture, GitHub platform management, and AI-enabled application development.
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Work in a fast-growing and innovative organization alongside highly skilled professionals.
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Contribute to challenging and impactful projects in a collaborative team environment.
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Continue your professional development through exposure to emerging technologies and enterprise-scale solutions.
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Lead the design, development, and optimization of backend services, APIs, and platform components supporting Generative AI solutions.
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Architect and implement scalable, secure, and high-performing solutions leveraging Azure services, Azure AI capabilities, and enterprise integrations.
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Design and manage API frameworks, integration patterns, and backend services that enable AI-powered business applications.
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Establish and maintain GitHub platform standards, CI/CD pipelines, branching strategies, and development best practices.
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Automate provisioning and deployment of Azure infrastructure and platform components using Infrastructure-as-Code and DevOps practices.
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Collaborate with cross-functional teams to identify AI opportunities, assess technical feasibility, and deliver innovative solutions.
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Serve as the technical escalation point for platform issues, troubleshooting, and production support.
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Drive technical backlog refinement, estimation, sprint planning, and architecture discussions as a senior technical lead.
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Ensure platform reliability, security, monitoring, performance, and operational excellence.
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Provide strong technical leadership, mentoring development teams and guiding solution builders on platform best practices.
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Strong hands-on experience designing and developing backend applications and enterprise APIs.
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Deep expertise with Microsoft Azure, including cloud architecture, deployment, security, monitoring, and platform services.
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Experience building and integrating AI-powered applications using Azure AI services and large language models.
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Strong knowledge of GitHub platform management, source control strategies, CI/CD pipelines, and DevOps practices.
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Experience with cloud infrastructure automation and Infrastructure-as-Code.
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Solid understanding of system architecture, scalability, security, and operational best practices.
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Proven experience leading technical teams in Agile/Scrum environments.
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Excellent communication, stakeholder management, and problem-solving skills.
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Experience with Microsoft Copilot Studio, including governance and best practices for agentic AI solution development.
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Experience with Google Gemini or other enterprise AI platforms.
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Experience in enterprise-scale platform development and consulting environments.
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Azure certifications and/or cloud architecture certifications.
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Experience supporting production systems with critical uptime and performance requirements.
Hybrid: Onsite 1 day a week
