Cloud Solutions Architect (Azure, Kubernetes, AI, Data) - R01548453

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Cloud Solutions Architect (Azure, Kubernetes, AI, Data)

• JavaScript, Requirement Gathering, Adobe Launch, Mobile Analytics Implementation, Google Tag Management, 3rd Party Pixel Implementation, Analytics Implementation Technical Documentation, A/B Testing Implementation, Adobe Analytics Implementation, Analytics Solution Architecting, DataLayer Architecture, Google Analytics Implementation, Tealium IQ, Problem Solving Ability, Analytics Beacon QA

• Digital Analytics Engg/ Implementation: AI/ML Engineer

• We are seeking a seasoned Cloud Architect with deep expertise in Azure Cloud, specifically around Azure Kubernetes Service (AKS), and experience in .NET application development. Additionally, familiarity with Google Cloud Platform (GCP) for AI-related workloads and strong experience with cloud data technologies such as Snowflake, Databricks, and Google BigQuery is a major advantage.

• Architect, design, and implement scalable, secure, and high-performance cloud solutions on Azure, with a focus on AKS Kubernetes stack.
• Optimize and manage workloads running on GCP, particularly for AI/ML applications.
• Guide the development of cloud-native applications using the .NET stack.
• Develop strategies for data architecture, ingestion, and processing across Snowflake, Databricks, and Google BigQuery.
• Collaborate with engineering and DevOps teams to drive containerized microservices adoption.
• Ensure best practices in cloud security, automation, and cost optimization.
• Evaluate and recommend new cloud and AI/ML technologies to enhance business operations.

• ✅ 10+ years of experience in software architecture and cloud solutions.
• ✅ Expertise in Azure, with hands-on experience in Azure Kubernetes Service (AKS).
• ✅ Proficiency in .NET application development and cloud-native architectures.
• ✅ Knowledge of GCP AI/ML services is a strong plus.
• ✅ Hands-on experience with data platforms: Snowflake, Databricks, and Google BigQuery.
• ✅ Strong understanding of CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, etc.).
• ✅ Excellent problem-solving, communication, and leadership skills.

• ➕ Azure and/or Google Cloud certifications (e.g., Azure Solutions Architect, GCP Professional Cloud Architect).
• ➕ Experience in machine learning pipelines and AI model deployment.
• ➕ Familiarity with serverless architectures, API gateways, and event-driven systems.

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