Staff Software Engineer: Enterprise Automation & AI Platform

SCAN

Long Beach (CA)

On-site

USD 106,200 - 182,983

Full time

14 days+

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Benefits offered by this job

Bonus program
Wellness program
PTO
Holidays
401(k)

Job summary

SCAN is building a citizen-led automation initiative. The Staff Software Engineer will own the automation platform, governance, and engineering foundations to enable safe, scalable enterprise solutions using Power Platform, Copilot Studio, and Azure AI services.

You will lead cross-functional efforts to create reusable templates, guardrails, and secure integrations, while driving adoption and measuring impact across healthcare-focused communities.

Qualifications

  • 8+ years of software engineering experience.
  • Hands-on with Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
  • Experience managing Power Platform environments, Dataverse capacity, and licensing.
  • Strong governance and ALM for low-code/no-code platforms.
  • Solid foundation in APIs, integrations, and cloud platforms (Azure preferred).

Responsibilities

  • Design and operationalize a citizen development model for automation and AI use cases.
  • Define and enforce environment strategy, DLP policies, and governance standards.
  • Establish ALM practices (dev/test/prod, CI/CD, versioning).
  • Architect scalable automation patterns using Power Platform, Copilot Studio, Azure AI services.
  • Design secure integrations with enterprise systems and data platforms.

Skills

Software engineering
Power Platform
Governance & ALM
APIs & Integrations

Tools

Power Platform environments
Dataverse
Azure
Copilot Studio

Job description

SCAN is building a citizen-led automation initiative. The Staff Software Engineer will own the automation platform, governance, and engineering foundations to enable safe, scalable enterprise solutions using Power Platform, Copilot Studio, and Azure AI services.

You will lead cross-functional efforts to create reusable templates, guardrails, and secure integrations, while driving adoption and measuring impact across healthcare-focused communities.

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