Need IT Systems & Support Engineer at San Francisco, CA for Long Term Contract

Hi,
Hope you are doing well,

Role: IT Systems & Support Engineer

Preferred location: San Francisco

Secondary locations: Austin, New York, Washington DC

Work arrangement: Onsite, five days per week

Position Summary

Provide hands-on onsite IT support, device provisioning, employee onboarding, hardware setup, ticket resolution, and workplace technology support in a high-growth environment.

Key Responsibilities

Provide frontline onsite support for employee hardware, software, access, and connectivity issues.

Provision and configure laptops, accounts, applications, and peripherals.

Support onboarding, offboarding, equipment recovery, and access-removal workflows.

Resolve walk-up and ticket-based support requests with clear customer communication.

Maintain asset, inventory, knowledge-base, and support documentation.

Escalate identity, endpoint, network, and security issues appropriately.

Use automation and AI-enabled ITSM tools to improve resolution speed and consistency.

Required Qualifications

Professional experience in IT support, desktop support, or systems administration.

Hands-on macOS or Windows support experience.

Experience with ticketing, asset management, and device provisioning.

Basic knowledge of identity, endpoint-management, collaboration, and networking tools.

Strong customer service, communication, prioritization, and documentation skills.

Ability to work onsite five days per week.

Preferred Qualifications

Okta, Google Workspace, Slack, Zoom, Kandji, Jamf, or Intune.

Employee onboarding and offboarding automation.

Conference-room and audiovisual support.

Scripting or workflow automation.

Console.ai or other AI-enabled service-management tools.

Behavioral Expectations

Excellent written and verbal communication.

Ownership and self-starter mentality.

Curiosity and first-principles problem-solving.

Ability to work effectively within a lean internal team.

Respect for least-privilege access and controlled delivery.

Interest in AI-native tools and measurable operational outcomes.