You will:
Drive the integration of AI-assisted development tools (e.g., code generation, intelligent testing, automated documentation) into Dell’s software engineering workflows, build and maintain automation frameworks and pipelines that leverage AI for code quality, security scanning, and performance optimization.
Collaborate with platform engineers to incorporate AI-driven enhancements into Dell solution platforms (e.g., OpenShift, VxRail, VMware ecosystem).
Develop reference implementations and best practices for AI-assisted engineering across multiple product teams.
Mentor engineers on effective use of AI tools to improve productivity and maintain high-quality standards.
Continuously evaluate emerging AI technologies and recommend adoption strategies to improve engineering efficiency.
Essential Requirements
Master’s degree in Computer Science or related field with 5+ years of experience in software engineering or platform development.
Strong experience in full-stack development and proficiency in languages like Python, Java, or Go.
Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, CodeWhisperer) or integrating LLM-based services into engineering workflows.
Proficiency in containerization (Docker, Kubernetes) and deploying applications on platforms like OpenShift.
Solid understanding of CI/CD pipelines, DevOps practices, and enterprise software delivery
Desirable Requirements
Experience implementing AI-driven automation for testing, security, or performance optimization.
Familiarity with Dell solution platforms (e.g., VxRail, PowerStore, PowerFlex) and enterprise infrastructure.
Familiarity with virtualization and hypervisor technologies, especially VMware vSphere/ESXi, vCenter, and related ecosystem components.
Knowledge of hyper-converged infrastructure (HCI) and enterprise storage solutions, including VMware vSAN and Dell PowerStore.
Understanding of network virtualization and SDN technologies, particularly VMware NSX, including concepts like VXLAN, distributed switching, and micro-segmentation.
Experience with Kubernetes/OpenShift for container orchestration and integration with virtualized environments.
Familiarity with infrastructure automation tools (e.g., Ansible, Terraform, Helm) and CI/CD practices for enterprise environments.
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