Enterprise Platform Engineer

Abnormal

4d•$118,600 - $170,500

About The Position

The Enterprise Platform Engineer helps build and run secure, reliable, and increasingly AI-enabled workforce technology across identity, endpoints, SaaS, collaboration, network, and office IT. You will turn policies, runbooks, telemetry, and employee needs into practical automations and self-service experiences that reduce manual work and improve the employee experience. You will work closely with experienced engineers and cross-functional partners while building ownership of defined platform capabilities and connected systems. You will use AI tools as part of your day-to-day engineering workflow and develop an AI-forward mindset grounded in security, observability, thoughtful evaluation, and human judgment. This role reflects Abnormal's VOICE values. You move with velocity, design for long-term ownership and governance, use data with intellectual honesty, stay close to customer needs, and aim for excellence in reliability and simplicity.

Requirements

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.
AI Forward Hiring: Expectation to use AI tools thoughtfully in day-to-day work and look for practical opportunities to improve platform reliability, speed, and employee experience. Candidates should be able to describe how they have used AI-assisted development, troubleshooting, documentation, workflow design, or analysis, and how they validated the output.
Candidates should also demonstrate sound judgment about security, privacy, access control, data quality, hallucination risk, human approval, logging, and evaluation. Hands-on experience building an AI agent is not required, but curiosity, practical experimentation, and an AI-forward mindset are expected.

Nice To Haves

Experience in remote-first, SaaS-first, or zero-trust environments.
Exposure to collaboration suites, meeting platforms, knowledge tools, room systems, or office networking.
Familiarity with REST APIs, event-driven integrations, configuration-as-code, version control, or CI/CD practices for platform automations.
Experience building self-service workflows or using AI tools to improve support, troubleshooting, documentation, or operational analysis.
Awareness of security and compliance frameworks as applied to end-user platforms, identity, AI systems, or data governance.

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.