Full Stack Engineer

V2Soft

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

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

Responsibilities

  • Design and build internal web applications for managing metrology configurations
  • Architect and deploy an S3-based data lake with automated processing
  • Build serverless backend services for configuration management and data evaluation
  • Develop integration adapters for optical tester outputs into structured storage
  • Design and deploy internal analytics dashboards for process monitoring and analysis
  • Implement AI agent workflows for automated analysis and optimization
  • Establish data governance and access controls for metrology data management
  • Travel for design meetings and site assessments, limited to 15%

Benefits

  • Opportunities to work on cutting-edge technology in the metrology space
  • Engagements with optical metrology engineers and manufacturing partners
  • Chance to influence internal workflows and system architecture
  • Potential for skills development in AI and cloud technologies
  • Exposure to data governance and management best practices
Full Job Description
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.

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