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    Job · 11768730

    CHENNAI · FULLTIME

    Cloud Solution Engineer Infrastructure, Security & AI

    Oracle logo

    Oracle

    Chennai · onsite · Posted 67d ago

    Sourced fromFoundit
    Not disclosed12–14 yrsfulltimeChennai

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    Section · 01

    About this role

    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 strong 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.

    Sourced from foundit

    Section · 02

    Skills

    ScriptingKubernetesservice discoveryaws iamapisai servicesinfrastructure as codeencryptionsdksMonitoringGovernancekey managementContainersComputer NetworksCloud-native technologiesCloud InfrastructureAPI Gatewayscommand-line toolsSecurityMicroservicescomplianceCi/CdOCI

    Section · Company

    About Oracle

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