Principal Architect - Cloud & AI Engineering
Fractal Analytics16 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Own end-to-end architecture across frontend, backend, APIs, data, cloud, and AI platforms.
- Design scalable cloud-native solutions using Azure, Kubernetes, Docker, microservices, APIs, event-driven architecture, and distributed systems.
- Architect enterprise web applications and define standards for React.js, micro-frontends, reusable UI components, design systems, state management, performance, accessibility, security, and observability.
- Drive API integration, platform modernization, CI/CD, DevSecOps, infrastructure as code, and engineering best practices.
- Architect and govern enterprise AI solutions using Azure OpenAI, generative AI, agentic AI, RAG, and LLMOps patterns.
- Lead architecture reviews, mentor engineering teams, build prototypes, review designs and code, and advise senior technology and business stakeholders.
Requirements
- 15+ years of software engineering experience with significant architecture leadership responsibility.
- Experience as a Principal Architect, Principal Engineer, Enterprise Architect, or equivalent.
- Deep expertise in Microsoft Azure, Kubernetes, Docker, microservices, REST APIs, and event-driven architecture.
- Strong frontend architecture experience with React.js, JavaScript, TypeScript, HTML5, CSS3, micro-frontends, and design systems.
- Experience with Apache Kafka, API Management, distributed systems, and enterprise integration patterns.
- Strong experience with Azure DevOps, GitHub Actions, Jenkins, GitOps, DevSecOps, infrastructure as code, and observability platforms.
- Working knowledge of Java, .NET, or Python.
- Experience with generative AI, RAG, agentic AI, Azure OpenAI, and AI governance.
- Strong executive communication, stakeholder management, and team leadership skills.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
- Preferred experience includes CPG, retail, manufacturing, supply chain, Databricks, Microsoft Fabric, Snowflake, AI orchestration frameworks, and relevant Azure or Kubernetes certifications.
- Candidates should have meaningful hands-on engineering depth, application and platform architecture ownership, and direct interaction with senior business and technology stakeholders.
Tech Stack
Apache KafkaAzureDatabricksDockerGitHub ActionsJavaJavaScriptJenkinsKubernetes.NETPythonReactSnowflakeTypeScript
Categories
Solutions Engineering
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.