Principal Software Engineer
Summary
Leads AI-assisted software engineering at Dell, integrating AI tools (e.g., GitHub Copilot) into workflows to accelerate development, testing, and automation for Dell’s solution platforms (OpenShift, VxRail, VMware).
Principal Software Engineer
As a
Principal Software Engineer , you will lead the adoption of AI-assisted engineering practices to accelerate the development of Dell's solution platforms. Your role focuses on leveraging AI tools, LLM-based coding assistants, and intelligent automation to improve software delivery speed, quality, and innovation. You will work closely with platform and product teams to embed AI-driven capabilities into the engineering lifecycle, ensuring Dell solutions remain competitive and future-ready.
Key Responsibilities: 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
7+ 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.
Principal Software Engineer , you will lead the adoption of AI-assisted engineering practices to accelerate the development of Dell's solution platforms. Your role focuses on leveraging AI tools, LLM-based coding assistants, and intelligent automation to improve software delivery speed, quality, and innovation. You will work closely with platform and product teams to embed AI-driven capabilities into the engineering lifecycle, ensuring Dell solutions remain competitive and future-ready.
Key Responsibilities: 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
7+ 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.