GrepJob
Abridge

Staff IT Automation Engineer

Abridge
Apply
6 months ago

Base Salary

$205k - $240k/yr

Responsibilities

  • Lead the architectural design and implementation of automated workflows for user and license management across SaaS platforms.
  • Develop scalable workflow automation solutions for onboarding, access requests, and IT support.
  • Design and implement automated lifecycle management solutions for corporate assets.
  • Build robust integrations using APIs and event-driven architectures.
  • Drive automation within the Identity and Access Management infrastructure.
  • Architect and engineer data platforms for efficient enterprise data management.
  • Establish engineering best practices and mentor junior engineers.

Requirements

  • 10 years of experience in IT Engineering, IT Apps Development, or DevOps.
  • 5 years of experience in developing large-scale enterprise environments with automation.
  • Deep hands-on experience with cloud platforms like GCP, AWS, or Azure.
  • Proficiency in MacOS and iOS, with bonus points for Linux and Windows experience.
  • Highly proficient in at least one modern programming language, preferably Python.
  • Experience automating IT Service Management functions using platforms like Jira.
  • Proven experience with APIs and database management, particularly SQL.
  • Extensive experience with centralized automation platforms.

Benefits

  • 14 paid holidays and flexible PTO for salaried employees.
  • Comprehensive health plans including medical, dental, and vision coverage.
  • Generous HSA contributions for those with a High Deductible Health Plan.
  • Paid parental leave and family forming benefits.
  • 401(k) matching contributions.
  • Personal device allowance and access to pre-tax benefits.
  • Monthly lifestyle wallet contributions for fitness and professional development.
  • Dedicated mental health support and paid sabbatical leave after 5 years.

Tech Stack

AnsibleAWSAzureGoogle Cloud PlatformiOSLinuxmacOSPythonSQLTerraformWindows

Categories

AI & MLData EngineeringDevOps