Cloud Solution Engineer – Infrastructure, Security & AI (Chennai)

Cloud Solution Engineer – Infrastructure, Security & AI (Chennai)

06 Aug
|
Oracle
|
Chennai

06 Aug

Oracle

Chennai

Role Overview :

We are seeking an experienced Cloud Solution Engineer to join the Oracle Cloud Infrastructure team. This customer-facing role combines solution architecture, technical presales, workload sizing, proof-of-concept delivery, and cloud adoption support.

The ideal candidate will have solid experience in cloud infrastructure, networking, security, cloud-native technologies, and emerging AI services, preferably on OCI.

Key Responsibilities :

Solution Architecture and Presales

- Engage with customers to understand business and technical requirements and translate them into secure, scalable, resilient, and cost-effective cloud solutions.
- Design OCI architectures for enterprise, hybrid-cloud, multi-cloud, and multi-region workloads.
- Partner with sales teams throughout the sales cycle and act as a trusted technical advisor.
- Deliver technical presentations, workshops, demonstrations, proposals, and solution documentation.
- Engage with senior technical stakeholders and C-level executives where required.

Sizing, Proof of Concept, and Deployment

- Assess workloads and perform infrastructure sizing, capacity planning, and cost estimation.
- Recommend appropriate compute, storage, networking, security, database, and managed services.
- Lead proofs of concept to validate architecture, integration, security, and performance.
- Support customers from initial design through deployment, production readiness, and adoption.
- Use scripting, command-line tools, SDKs, APIs, and Infrastructure as Code to automate deployments.

Cloud Infrastructure and Cloud-Native Technologies

- Design and troubleshoot cloud infrastructure across compute, storage, identity, security, observability, high availability, disaster recovery, and cost optimization.
- Build resilient application platforms using containers, Kubernetes, microservices, API gateways,



service discovery, and CI/CD pipelines.
- Select suitable managed services, automation patterns, monitoring controls, and operational best practices.

Networking and Security

- Design OCI networking solutions using VCNs, subnets, NSGs, VPN, FastConnect, load balancing, DNS, and traffic management.
- Implement secure connectivity across OCI, on-premises environments, and other cloud providers.
- Design security controls covering IAM, network security, application security, encryption, key management, data protection, logging, and monitoring.
- Ensure alignment with security best practices, governance, privacy, and regulatory requirements.

AI Infrastructure and Services

- Understand customer AI, machine learning, and Generative AI use cases.
- Apply foundational knowledge of training, inference, large language models, embeddings, vector search, and Retrieval-Augmented Generation.
- Assess infrastructure requirements for AI workloads, including GPU compute, high-performance storage, networking, scalability, security, and cost.
- Recommend suitable OCI AI services and architectures based on performance, data, privacy, and governance requirements.
- Promote responsible AI practices and identify common security and deployment risks.

Collaboration and Thought Leadership

- Collaborate with sales, engineering, product, security, and delivery teams.
- Provide technical guidance and mentorship to internal teams and customers.




- Create reusable technical assets such as reference architectures, solution code, white papers, blogs, and demonstrations.
- Capture customer feedback and help influence product and engineering roadmaps.
- Stay current with developments in cloud, security, networking, cloud-native, and AI technologies.

Core Skills and Experience

- Strong knowledge of cloud compute, storage, networking, identity, security, observability, high availability, disaster recovery, scalability, and cost optimization.
- Hands-on experience provisioning and troubleshooting cloud infrastructure using consoles, command-line tools, SDKs, APIs, and Infrastructure as Code.
- Working knowledge of containers, Kubernetes, microservices, API gateways, service discovery, and CI/CD.
- Advanced understanding of cloud networking, hybrid connectivity, routing, segmentation, load balancing, VPN, and dedicated connectivity.
- Strong knowledge of IAM, encryption, key management, security monitoring, governance, and compliance.
- Foundational understanding of AI/ML and Generative AI concepts and infrastructure requirements.
- Experience in cloud solution architecture, technical presales, consulting, or a similar customer-facing role.
- Strong presentation, communication, stakeholder-management, and problem-solving skills.

Preferred Qualifications

- 12+ years of experience in cloud engineering, solution architecture, technical presales, infrastructure, security, or a related technology domain.
- Hands-on experience with Oracle Cloud Infrastructure.
- Experience with hybrid-cloud, multi-cloud, or multi-region architectures.
- Experience delivering proofs of concept and production cloud deployments.
- Relevant cloud, networking, security, Kubernetes, AI, or architecture certifications.

📌 Cloud Solution Engineer – Infrastructure, Security & AI (Chennai)
🏢 Oracle
📍 Chennai

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