Western Digital

Western Digital

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

San Jose, CA, United States · Principal

Sponsorship not specifiedDetected 21 days ago
TypeScriptPythonReactBackend DevelopmentFull-Stack DevelopmentGitSQLAWSCloud PlatformsKubernetesCI/CDDevOpsMachine LearningAirflowdbtData AnalysisData EngineeringLLMsRAGAgentic AILangGraphAI OrchestrationJiraConfluence

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 81%

Of 58 labor certifications old enough to have been used, 11 expired without the employer filing the next step. Median time from filing to decision: 511 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

90 transfer filings in the last year, covering 414 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • It's real systems, at real scale, people solving some of the hardest challenges in technology today.
  • Join us and let's shape the future of data.
  • Success in this role is measured by engineering productivity gained, not only by systems deployed.

Responsibilities

  • 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.
  • Design agent systems for engineering workflows: tool use, orchestration, multi-agent boundaries, and human-in-the-loop controls.
  • Design pipelines and data products that land on Enterprise Data foundations rather than duplicating them.
  • 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.
  • Build applications end-to-end: backend services, orchestration logic, APIs, data access, and the user-facing surface.

Requirements

  • Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.

Nice to have

  • Prior delivery of an AI or analytics solution in production at meaningful scale, with adoption evidence.
  • Experience in semiconductor, storage, or hardware product development environments, including engineering and test data.
  • Familiarity with engineering toolchains - GitHub, Jira, Confluence, CI/CD systems, and test data platforms.
  • Experience operating within an enterprise AI platform (LLM gateway, RAG-as-a-service, managed inference) and enterprise data governance frameworks.
  • Key Competencies
  • Architect who ships - comfortable moving between whiteboard and codebase in the same day
  • Breadth across AI, data, and cloud, with the judgment to know which one the problem actually calls for
  • Product sense: judges success by engineer adoption, not by technical elegance

Compensation

  • An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6)

Company info

  • As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within.
  • We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us.
  • We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
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This listing is sourced directly from Western Digital's careers page and normalized into a canonical job model.