Technical Content Developer jobs at Dell in Singapore, Singapore

What you’ll achieve

As a Technical Staff AI Platform Engineer, you will be a senior technical leader responsible for shaping and driving the architecture of Dell’s AI platform. You will lead the design of core platform capabilities that enable scalable AI development across multiple product lines. This role requires deep technical expertise, strong architectural vision, and the ability to influence engineering teams to deliver high-quality, future-ready AI infrastructure.

You will:

• Define and own the technical architecture for Dell’s AI platform, ensuring scalability, security, and operational excellence.

• Drive cross-team initiatives to deliver platform capabilities that support advanced AI workloads (e.g., LLM training/inference, multi-modal systems).

• Lead technical execution of complex platform projects, resolving challenges that span multiple engineering teams and product lines.

• Evaluate and introduce new technologies to improve platform performance, reliability, and developer productivity.

Essential Requirements

• Master’s degree in Computer Science or related field with 15+ years of experience in distributed systems, cloud-native platforms, or AI/ML infrastructure.

• Proven experience in architecting and delivering large-scale platforms in production environments.

• Deep expertise in Kubernetes/OpenShift, container orchestration, and cloud-native technologies.

• Strong understanding of AI/ML lifecycle and infrastructure requirements for large-scale workloads.

• Ability to influence technical direction across multiple teams and drive alignment on architectural decisions.

Desirable Requirements

• Experience building platforms optimized for Generative AI or agent-based systems.

• Contributions to internal or open-source projects in AI or cloud-native ecosystems.

Application closing date:30 November 2025

Technical Content Developer 2

You will:

• Contribute to content development for key product lines and solutions.
• Apply AI-assisted authoring, prompt engineering, and automation.
• Partner with product managers, engineers, and designers to define content needs.
• Contribute to innovation projects (AI, chatbots, interactive tutorials, video-based learning).

Essential Requirements

• 3–7 years in technical structured authoring (DITA, XML, Markdown) and modern information development such as: media, APIs, and UX writing
• Strong grasp of development workflows such as Agile/Agile team experience
• Experience contributing to strategic, innovative, and/or transformative projects. Experience in conversational AI, interactive tutorials, and AI-powered content workflows.

• Familiarity with analytics dashboards to track content quality and engagement. Basic scripting (Power Automate, Python, JavaScript) to automate documentation tasks.

In this position, as a
You will:

• Implement automated vulnerability remediation strategies using modern technologies like Python, Java and infrastructures tools like SCCM, Tenable, AWS, and so on
• Work with IT and Cybersecurity partners to establish communication plans and develop remediation solutions.
• Develop effective strategies to orchestrate vulnerability remediation.
• Provide critical input into the selection, configuration, and implementation of new and existing solutions.

Essential Requirements

• 9-12 years of experience in software development with hands-on experience using Java, Angular, React.js, and Spring Boot frameworks.
• Strong foundation in secure development life cycle, scripting including expertise in Linux shell scripting, Python, and Windows PowerShell.
• Skilled in writing and optimizing SQL queries for data retrieval and manipulation.
• Experienced in implementing and maintaining CI/CD pipelines within DevOps environments.
• Experience developing Web UI (front end) applications

Desirable Requirements

• Knowledge of Information security topics such as Cybersecurity, Pen testing and vulnerability scan, Application security, Web security, CVSS Scoring, CVE classification.
• 8+ years of validated experience.Bachelor’s degree in computing engineering or computer science

30-September-25

You will:

• Define and own the architecture and standards for AI-assisted engineering across Dell solution platforms, develop frameworks and governance models for integrating AI tools (e.g., code generation, intelligent testing, automated documentation) into software development workflows at scale.

• Lead the design of cross-platform automation systems leveraging AI for CI/CD, quality assurance, and developer productivity.

• Solve the most complex technical challenges related to AI-enabled engineering, ensuring solutions are robust, secure, and compliant with enterprise standards.

• Partner with senior architects and product leaders to align AI-assisted engineering capabilities with Dell’s platform strategy and delivery objectives.

• Mentor senior engineers and influence technical direction across multiple business units, driving adoption of best practices and continuously assess emerging AI technologies and recommend strategic adoption to maintain Dell’s engineering excellence.

Essential Requirements

• Master’s degree in computer science or related field with 15+ years of experience in enterprise software engineering or platform development.

• Proven track record of architecting and governing large-scale engineering systems with strong focus on automation and quality.

• Deep expertise in cloud-native platforms (OpenShift, Kubernetes), CI/CD pipelines, and enterprise software delivery.

• Hands-on experience with AI-assisted development tools and integrating LLM-based services into engineering workflows.

• Exceptional ability to influence technical direction across multiple teams and drive alignment on architectural decisions.

Desirable Requirements

• Experience implementing AI-driven automation frameworks for testing, security, or performance optimization at scale.

• 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.