Jobs / United States / Western Digital Technologies INC

Principal Full Stack Developer & Solutions Architect – AI, Data & Cloud

Western Digital Technologies INC · 🇺🇸 San Jose, CA, US

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 176 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 56 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Western Digital Technologies INC paid sponsored hires in similar roles9 certified filings for “Director, Data Analytics Engineering” (Data Scientists) in CA: $158k–$175k, median $174k. Most were filed at wage level I (60%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Western Digital Technologies INC

176 H-1B filings certified since Oct 2025

The US Department of Labor certified 176 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 56 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Western Digital Technologies INC →

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. 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. Essential Duties and Responsibilities: Solution Architecture & Technical Leadership • 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 architectures, design patterns, and technology standards, and select the tools the organization will standardize on. • Make build-vs-buy decisions and defend them to IT and business leadership. • Ensure solutions align with enterprise security and data governance requirements by design. • Provide design review and technical mentorship to the AI/Data Engineer and Platform/DevOps Engineer on the team. • Ability and proven track record managing software developers AI & Agentic Systems • Design agent systems for engineering workflows: tool use, orchestration, multi-agent boundaries, and human-in-the-loop controls. • Define evaluation methodology and quality gates — golden sets, regression suites, LLM-as-judge — so that no solution reaches an engineer’s desk unvalidated. • Set model routing and guardrail policy through the enterprise LLM gateway. • Determine where AI is the right answer and where a deterministic pipeline, analytics solution, or existing automation is the better engineering decision. Data & Analytics • Architect the data and retrieval layer that AI and analytics solutions depend on: ingestion, modeling, semantic layers, and access patterns across engineering and test data. • Select and integrate data analytics and BI tooling, and enable self-service analytics for engineering teams rather than one-off reporting. • Design pipelines and data products that land on Enterprise Data foundations rather than duplicating them. • Ensure data quality, lineage, and permission propagation so that downstream AI and analytics outputs are trustworthy. Cloud & Platform • Architect solutions for AWS and containerized runtimes, balancing performance, reliability, and cost. • Define deployment, infrastructure-as-code, and CI/CD patterns in partnership with the Platform/DevOps Engineer. • Engineer for latency, inference cost, and cloud spend as first-class design constraints. • Build on Engineering Cloud and AI CoE platform foundations rather than constructing parallel stacks. Full Stack Development & User Experience • 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 patte

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Source: smartrecruiters First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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