Full Stack Engineer

Sunnyvale, CA, US • Posted 14 days ago • Updated 14 days ago
Contract Corp To Corp
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • REACT
  • TYPESCRIPT
  • AWS
  • AI
  • ARTIFICIAL INTELLIGENCE
  • LAMBDA
  • DYNAMODB
  • TERRAFORM

Summary

Only W2, No C2C.

Key job responsibilities
  • Design and build internal web applications (React/TypeScript, AWS-hosted) for creating and managing metrology configurations that define what is measured, where, and how across programs and vendor sites
  • Architect and deploy an S3-based data lake with automated folder structure generation, schema validation, and event-driven processing pipelines
  • Build serverless backend services (API Gateway + Lambda) for configuration CRUD, data ingestion, pass/fail evaluation against spec limits, and summary aggregation
  • Develop integration adapters for optical tester outputs (CSV, key-value text, proprietary formats) into structured, queryable storage
  • Design and deploy internal analytics dashboards: process capability, yield trending, GRR analysis, SPC monitoring, and cross-site measurement correlation
  • Implement AI agent workflows for automated analysis: GRR validation, build summaries, and upstream/downstream spec optimization
  • Establish data governance: role-based access controls (vendor-scoped editing), schema versioning, change traceability, and audit logging
  • Partner with optical metrology engineers and external manufacturing partners to translate measurement workflows and domain requirements into system architecture
  • Travel for site assessments, internal design meetings, construction review, and interfacing with design consultants. Anticipated travel not to exceed 15%.
Basic Qualifications
  • Bachelor''s degree in Computer Science, Data Engineering, Software Engineering, or related field
  • 5+ years experience building full-stack web applications (React/TypeScript frontend + cloud backend)
  • 5+ years experience with AWS services: S3, Lambda, API Gateway, CloudFront, DynamoDB, Athena, or equivalent cloud data stack
  • 5+ years experience designing data pipelines and data models for manufacturing, quality, or IoT systems
  • Proficiency in Python and SQL for data processing, transformation, and analysis
  • Experience with Infrastructure as Code (CDK, CloudFormation, or Terraform)
  • Strong communication skills - ability to translate between hardware engineering domain experts and software architecture
Preferred Qualifications: 
  • M.S. in Computer Science, Data Engineering, or related field
  • Experience with statistical process control (SPC), GRR methodology, or metrology/quality data systems
  • Familiarity with MES implementations or industrial data acquisition systems
  • Background in display/optical metrology or hardware quality systems
  • Experience with AI/ML agent frameworks or tool-integration patterns for connecting analysis workflows to structured data
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10115258
  • Position Id: 26-01176
  • Posted 14 days ago
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