WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. Backed by Sequoia.
About the role
Western Digital is seeking a Principal Full Stack Developer and Solutions Architect to design and build the AI, data analytics, and cloud solutions used by our Product Development engineering organization. This is a hands-on principal role: you will own the solution architecture, write the code, and design the interfaces engineers actually work in. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Build applications end-to-end: backend services, orchestration logic, APIs, data access, and the user-facing surface
- Own the user experience — how work is initiated, how progress is made visible, and how output is reviewed and corrected by the engineer
- Decide embedded-versus-standalone delivery across Slack, Teams, IDE, BI, and web surfaces, and ship working pilot interfaces without waiting on a front-end team
- Define the interaction patterns that ITES-US Engineering & Web Apps productionizes for scaled deployment
- Bachelor’s degree in Computer Science, Engineering, Physics or a related field, advanced degree a plus
- 8+ years of professional software engineering experience, including production ownership of systems you designed
More about this role
Western Digital is seeking a Principal Full Stack Developer and Solutions Architect to design and build the AI, data analytics, and cloud solutions used by our Product Development engineering organization. This is a hands-on principal role: you will own the solution architecture, write the code, and design the interfaces engineers actually work in.
You will sit with product engineering teams, identify where AI, data, and cloud capability create real leverage, and take those use cases from prototype to production. Your scope spans the full solution — agentic and AI/ML services, the data and analytics layer beneath them, and the cloud platform they run on. You will set the design patterns, evaluation standards, and quality gates that the wider team builds against, and act as the senior technical counterpart to the AI Center of Excellence, Enterprise Data, and Engineering Cloud organizations. Success in this role is measured by engineering productivity gained, not only by systems deployed.
- Own end-to-end solution architecture for Product Development use cases spanning AI/ML, data analytics, and cloud — from data source through to the engineer’s interface.
- Establish reference...
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