Sr Spec DDIT IES cloud Engineering

Novartis; Hyderabad; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Novartis Hyderabad is seeking a Sr Spec DDIT IES cloud Engineer to design, implement, and operate enterprise AI infrastructure and platform capabilities.

You will integrate AI platforms with identity, security, and monitoring services, build IaC, CI/CD pipelines, and ensure high availability.

The role emphasizes scalable, governed AI adoption across the enterprise and requires 5+ years of AI/Cloud DevOps experience.

Qualifications

• Bachelor's degree in CS/Engineering/IT or equivalent.
• 5+ years in AI Infrastructure Engineering, Cloud Engineering and DevOps toolsets.
• Certifications in Cloud, Kubernetes, DevSecOps or AI domains.
• Experience with enterprise AI platforms supporting Generative AI workloads.
• Understanding of LLMs, AI APIs, RAG, MCP, vector databases and model access patterns.
• Experience with enterprise AI ecosystems (ChatGPT Enterprise, Azure AI Foundry, AWS Bedrock, Vertex AI, etc.).
• Knowledge of Kubernetes & container platforms, IaC, DevSecOps & CI/CD.

Responsibilities

• Design, engineer, deploy, and support enterprise AI infrastructure and platform capabilities.
• Onboard and integrate AI platforms with identity, networking, security, monitoring, and operations.
• Engineer AI developer environments, AI workspaces, API connectivity, model access, and platform integrations.
• Develop reusable platform components and engineering patterns to accelerate adoption.
• Develop IaC solutions using Terraform, CloudFormation, Bicep, ARM, Ansible, or equivalents.
• Build and maintain CI/CD pipelines for provisioning, configuration, deployment and lifecycle management.
• Automate provisioning, platform operations, configuration management, and workflows.
• Implement platform monitoring, logging, observability, backup, DR, HA, and performance optimization.
• Troubleshoot complex infra, networking, platform, and integration issues.
• Support operational excellence through proactive monitoring and incident resolution.

Skills

Agile Project Management

Change Management

Digital Capabilities

IT Service Delivery

Stakeholder Engagement

Education

Bachelor's degree in Computer Science, Engineering, Information Technology

Tools

Kubernetes

CI/CD tools

Terraform / IaC

DevSecOps

Job description

Job Description Summary

Sr Spec DDIT IES cloud Engineer will be responsible for designing, engineering, implementing, and operating enterprise AI infrastructure and platform capabilities that enable secure, scalable, and governed adoption of AI technologies across the enterprise.

Job Description

Key Responsibilities

• Design, engineer, deploy, and support enterprise AI infrastructure and platform capabilities.
• Onboard and integrate enterprise AI platforms with enterprise identity, networking, security, monitoring, and operational services.
• Engineer AI developer environments, AI workspaces, API connectivity, model access, and platform integrations.
• Develop reusable platform components, reference implementations, and engineering patterns to accelerate enterprise AI adoption.
• Develop Infrastructure as Code (IaC) solutions using Terraform, CFT, Bicep, ARM, Ansible, or equivalent technologies.
• Build and maintain CI/CD pipelines for provisioning, configuration, deployment, and lifecycle management of AI platforms.
• Automate infrastructure provisioning, platform operations, configuration management, and operational workflows using scripting and DevOps practices.
• Implement platform monitoring, logging, observability, backup, disaster recovery, high availability, and performance optimization solutions.
• Troubleshoot complex infrastructure, networking, platform, and integration issues across enterprise AI environments.
• Support operational excellence through proactive monitoring, incident resolution, and continuous service improvement.

Essential Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• 5+ years of experience in AI Infrastructure Engineering, Cloud Engineering and DevOps toolsets
• Relevant Cloud, Kubernetes, DevOps, Security, or AI certifications.
• Experience engineering enterprise AI platforms supporting Generative AI and AI-enabled workloads.
• Understanding of LLMs, AI APIs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, model access patterns, and enterprise AI platform architecture.
• Enterprise AI ecosystems such as ChatGPT Enterprise, Claude, Gemini, Azure AI Foundry, AWS Bedrock, AgentCore, Vertex AI, Strands Agents SDK, LangGraph, CrewAI, Run.AI or SLURM or open-source AI platforms.
• Kubernetes & Container Platforms
• Infrastructure as Code (IaC), DevSecOps & CI/CD

Desirable Requirements:

• AWS & Azure Monitor, Prometheus, Grafana, Log Analytics, Kusto Query Language (KQL), or equivalent monitoring platforms
• AI Developer Platforms (JupyterLab, VS Code, AI Workstations, Claude Cowork).

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [e-mail] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Agile Project Management, Change Management, Digital Capabilities, IT Service Delivery, Stakeholder Engagement