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
https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.