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Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 11, 2026. Dell Technologies scores A on the Alion truth index.

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Dell Technologies is an American technology company founded by Michael Dell in 1984 and headquartered in Round Rock, Texas. It is one of the largest suppliers of personal computers and enterprise infrastructure in the world, shipping XPS and Latitude notebooks, Precision workstations, PowerEdge servers, PowerStore storage arrays and the AI factory systems that package accelerators, networking and services into deployable clusters. The company went private in 2013 in what was then the largest technology buyout, acquired EMC and VMware in 2016, and returned to public markets in 2018 before spinning VMware back out in 2021.

Software Engineer - Data Protection Software Engineering

Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.

Some product builders follow the rules. Ours rewrite them.

Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.

We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.

If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.

Join us and help build the future of enterprise technology.

The Data Protection Software Engineering team delivers next-generation cyber resiliency, data protection, and data availability solutions for enterprises operating across on-premises, hybrid cloud, and public cloud environments. Working at the forefront of innovation, we build highly scalable and intelligent software platforms that protect customer data against operational failures, cyber threats, and ransomware attacks.

Join us to do the best work of your career and make a profound social impact as a Software Engineer 2 on our ISG Software Engineering team in Santa Clara, California.

What you’ll achieve

As a Software Engineer 2, you will contribute to the development of Dell's next-generation Data Protection platform with a particular focus on cloud-native control plane services, distributed systems, and data protection workflows. You will work closely with senior engineers and architects to deliver high-quality software while leveraging modern AI-assisted engineering methodologies throughout the software development lifecycle.

You will

  • Design, develop, test, and maintain scalable microservices and control plane components that power Dell's Data Protection portfolio, demonstrate ownership, continuous learning, and a quality-first engineering mindset
  • Build and enhance REST-based services and APIs using Java and Spring Boot technologies, leverage Spec Driven Development, AI-assisted development tools, and automation technologies to improve engineering productivity and software quality
  • Contribute to the architecture and implementation of cloud-native distributed systems deployed across public cloud, hybrid cloud, and on-premises environments, troubleshoot and resolve product issues through detailed root-cause analysis and debugging across multiple technology stacks
  • Develop software for orchestration, policy management, monitoring, lifecycle management, and data protection workflows, develop automated unit, integration, and end-to-end tests to ensure product quality and reliability
  • Participate in software design reviews, code reviews, security reviews, and operational readiness reviews, wWork closely with Product Management, Customer Support, and other Engineering teams to deliver customer-focused solutions

Essential Requirements

  • 4+ years of software development experience
  • Strong programming skills in Java and object-oriented design principles, strong debugging, troubleshooting, and root-cause analysis skills, hands-on experience building backend services using Spring Boot, Spring Framework, and REST APIs
  • Experience developing cloud-native applications, microservices, or distributed systems, experience using modern AI development tools to accelerate code development, testing, documentation, and software delivery
  • Solid understanding of operating systems, networking fundamentals, concurrency, and multithreaded programming, experience developing on Linux/Unix platforms, knowledge of databases, messaging systems, and event-driven architectures (RabbitMQ, NoSQL databases, etc.)
  • Strong communication and collaboration skills

Preferred Requirements

  • Knowledge of virtualization/containerization technologies including VMware vSphere, Hyper-V, OpenStack, OpenShift or Kubernetes, knowledge of cloud platforms including AWS, Azure, or Google Cloud
  • Experience in Data Protection, Backup & Recovery, Cyber Recovery, Storage, or Infrastructure Software domains; experience with Test Driven Development, CI/CD pipelines and DevOps practices, exposure to Golang and/or C++, experience with performance profiling and scalability testing, familiarity with AI/ML, GenAI, Agentic AI systems, or AI-assisted software development.
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