Principal Cloud Developer
- AI/ML Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. What you’ll do: Lead the architecture, engineering, and operational excellence of cloud-native, data-intensive enterprise applications. Own technical strategy, platform scalability, reliability, cloud operations, and engineering excellence while providing hands-on technical leadership.

Key Responsibilities
• Own end-to-end architecture and technical roadmap for data-intensive and AI-enabled enterprise applications.
• Design scalable, secure, resilient cloud-native solutions for application, data, and AI workloads.
• Lead architecture reviews, technical governance, and technology selection.
• Drive engineering best practices including TDD, code reviews, CI/CD, automation, and MLOps/LLMOps practices.
• Architect data platforms, APIs, microservices, distributed systems, and AI service integration patterns.
• Lead the design and operationalization of AI/ML solutions, including model deployment, monitoring, drift detection, and retraining strategies.
• Evaluate and implement Generative AI use cases such as LLM-powered assistants, RAG architectures, prompt orchestration, and agent-based workflows where relevant.
• Establish observability, monitoring, reliability, incident response, and governance practices for both software and AI systems.




• Mentor engineers and influence technical direction across teams.
• Partner with Product, Security, Infrastructure, Data Science, and Business stakeholders. What you need to bring:
• 12+ years of software engineering experience.
• 5+ years in architecture or technical leadership roles.
• Expertise in programming languages like Java, Python, or Go, Framework like ReactJS, Angular and NodeJS.
• Strong OOAD, design patterns, microservices, and distributed systems experience.
• Strong API design experience using REST, JSON/XML, Swagger, and Postman.
• Experience with PostgreSQL, SQL Server, Oracle, and exposure to NoSQL databases.
• Experience with Linux/Unix, HTTP, caching, scalability, and performance optimization.
• Agile/Scrum, TDD, unit testing, and troubleshooting expertise.
• Robust understanding of AI/ML fundamentals, model lifecycle, feature engineering, and production deployment patterns.
• Hands-on experience with AI/ML frameworks and platforms such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
• Experience building or integrating Generative AI solutions using LLMs, prompt engineering, embeddings, vector databases, and RAG patterns.
• Knowledge of MLOps/LLMOps practices including model versioning, evaluation, monitoring, experimentation, and governance.
• Ability to assess AI solution trade-offs across accuracy, latency, scalability, security, explainability, and cost.
• Effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels. Preferred Qualifications
• AWS and/or Azure/GCP cloud platforms.
• Infrastructure as Code (Terraform, CloudFormation).
• Monitoring, Observability, SRE, and Platform Engineering practices.
• Experience with AI platform services such as Amazon Bedrock, SageMaker, Azure OpenAI, Vertex AI, or equivalent.
• Familiarity with vector databases, model serving and inference optimization.
• Knowledge of responsible AI, model governance, privacy, and security considerations for enterprise AI adoption.

📌 Principal Cloud Developer (India)
🏢 HPE Aruba Networking
📍 India