Build and deploy custom manufacturing software and integrate off‑the‑shelf solutions across global sites.
Locations (6)
Frederick, Maryland, United States
Austin, Texas, United States
Carlsbad, California, United States
Pleasanton, California, United States
Eugene, Oregon, United States
Rockford, Illinois, United States
Compensation
The salary range estimated for this position based in California is $114,600.00 - $152,800.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Responsibilities
Partner with site operations and process owners to select lighthouse projects and define user requirements
Design, code, test, and deploy custom manufacturing applications and reusable services
Evaluate, configure, extend, and integrate off‑the‑shelf manufacturing software
Own technical integration with equipment, ERP, and other enterprise systems
Work with IT on infrastructure, identity, networking, cybersecurity, and architecture
Requirements
Bachelor's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering
Master's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering
Oversee and refine data platform and operational processes, ensuring high availability and performance of data pipelines.
Respond to incidents using defined support processes; assess post-incident learnings and drive preventive actions.
Requirements
BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university
The DevOps Engineer, AI Platform is responsible for automating, deploying, and operating the infrastructure and delivery pipelines that support STACK’s enterprise AI platform on Azure. This is a hands-on engineering role focused on build and run — not oversight.
Compensation
$128,260.00 - $146,017.59
Responsibilities
Build, maintain, and version infrastructure-as-code modules for Azure environments using Terraform, Bicep, or ARM
Automate provisioning of AI platform components — Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Cosmos DB, ADLS Gen2, and Databricks
Maintain environment parity across development, test, and production
Implement and enforce tagging, naming, and resource organization standards
Automate routine platform operations — patching, certificate rotation, key and secret rotation, backup validation, and disaster recovery testing
Requirements
Bachelor's degree in Computer Science
Information Technology
Engineering
Nice to have: Microsoft Certified: DevOps Engineer Expert (AZ-400)
Building enough AI platforms to automate document-intensive review workflows, focusing on the user-facing layer, analytics engineering, and data product development.
Responsibilities
Reviewer Workbench & application engineering
Build reviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions
Design UI/UX patterns that match how reviewers actually work
Capture feedback to train models and refine rule packs
Ensure application performance at scale for high document volumes
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Nice to have: Power BI Data Analyst Associate certification
Nice to have: Databricks Data Analyst Associate certification