AI-Powered Enterprise Platform Engineer

Abnormal; United States; Remote; USD 119,000 - 171,000; Full time

Job summary

Abnormal is seeking an Enterprise Platform Engineer to build and run secure, reliable, and AI-enabled workforce technology across identity, endpoints, SaaS, and collaboration tools. You will translate policies and telemetry into practical automations and self-service experiences that reduce manual work and enhance the employee experience.

You will collaborate with experienced engineers and cross-functional partners, owning platform capabilities and applying an AI-forward mindset centered on

Qualifications

• 2+ years of experience in IT engineering, platform engineering, systems administration, or a similar role supporting business-critical technology.
• Working knowledge of identity and access concepts including SSO, MFA, least privilege, directory and group management, and standards-based provisioning.
• Experience supporting macOS and/or Windows using modern device management approaches, with familiarity with application packaging, patching, configuration baselines, or compliance reporting.
• Ability to script and integrate systems using APIs, webhooks, workflow orchestration, or similar automation techniques.
• Familiarity with SaaS administration, collaboration tools, and employee-facing technology platforms.
• Experience with incident and change management, troubleshooting, root cause analysis, and documented follow-through.
• Clear written and verbal communication, including the ability to document technical processes and explain complex systems to technical and non-technical audiences.

Responsibilities

• Build and support automations for joiner, mover, and leaver flows, access requests, device management, deprovisioning, and common employee IT needs.
• Support identity and access capabilities using SSO, MFA, least privilege, birthright access, directory and group models, standards-based provisioning, and device trust.
• Help operate zero-touch device provisioning and management for macOS and Windows, including application packaging, patch automation, policy compliance, and drift detection.
• Use AI tools, APIs, workflows, and event-driven patterns to improve platform operations while applying appropriate access controls, approvals, and human review.
• Create self-service experiences, runbooks, and enablement content so employees and support teams can resolve common IT needs without escalation.
• Add telemetry, logging, dashboards, and basic evaluation so automations and AI-assisted workflows can be tested, monitored, debugged, and improved.
• Participate in Tier 2/3 incidents for assigned areas, perform root cause analysis, and feed incident learnings back into automations, runbooks, and standards.
• Partner with Security, GRC, People, Finance, IT Service Delivery, and platform owners to deliver changes safely and improve the employee experience.

Skills

IT engineering

SSO

MFA

Device management

Automation scripting

APIs

SaaS administration

Incident management

Documentation

Communication

Tools

REST APIs

CI/CD

Job description

Abnormal is seeking an Enterprise Platform Engineer to build and run secure, reliable, and AI-enabled workforce technology across identity, endpoints, SaaS, and collaboration tools. You will translate policies and telemetry into practical automations and self-service experiences that reduce manual work and enhance the employee experience.

You will collaborate with experienced engineers and cross-functional partners, owning platform capabilities and applying an AI-forward mindset centered on