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AbridgeAbridge

Staff IT Engineer

Leads enterprise IT automation, integrations, identity management, and business-systems deployment in a regulated healthcare environment. Requires 10+ years in IT engineering, applications development, or DevOps, with strong cloud, programming, Infrastructure as Code, API, and compliance expertise.

About the job

Responsibilities

  • Develop scalable, resilient workflow automation for onboarding/offboarding, access requests, compliance enforcement, and self-service IT support.
  • Build robust integrations between disparate systems using APIs and event-driven architectures.
  • Automate identity and access management, including role assignment, least-privilege policy enforcement, and audit-friendly authentication and authorization logging.
  • Architect and engineer secure enterprise data platforms for collection, normalization, storage, reporting, audits, and analytics.
  • Establish engineering practices, lead code reviews, document architectures, and mentor engineers.
  • Own deployment and lifecycle management of business-critical systems and custom applications, including architecture, vendor evaluation, implementation, integration, and ongoing support.

Requirements

  • 10+ years of experience in IT engineering, IT applications development, or DevOps, including at least 5 years focused on large-scale enterprise automation.
  • Hands-on experience automating complex operations and governance across GCP, AWS, and/or Azure.
  • Experience modularizing infrastructure provisioning with Infrastructure as Code, such as Terraform.
  • Proficiency in at least one modern programming language, preferably Python.
  • Experience with REST or GraphQL APIs and relational databases, with strong SQL skills preferred.
  • Extensive experience designing and managing centralized automation platforms such as n8n, SOAR, Ansible, Workato, or custom frameworks.
  • Experience in regulated industries and exposure to SOC 2, HIPAA, or equivalent compliance frameworks.
  • Strong communication skills across technical, business, and executive audiences.

Nice-to-haves

  • Experience applying agentic AI or machine learning models to IT automation, including proactive issue detection, intelligent routing, or natural language processing.

Compensation and Benefits

  • Annual compensation of $200,000–$240,000, plus equity grants.
  • Medical, dental, and vision coverage for full-time employees and their families.
  • HSA contributions, paid parental leave, family-forming benefits, 401(k) matching, personal device allowance, pre-tax benefits, lifestyle wallet, mental health support, and paid sabbatical leave.

Skills

Python, Terraform, GCP, AWS, Azure, REST APIs, GraphQL, SQL, Ansible, Workato, n8n, IAM, HIPAA, SOC 2, Machine Learning

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