IT Administrator

Ryan Mahoney

Why this role is hard · Ryan Mahoney

This level is tricky because you need someone comfortable with a real tension: they own production systems deeply, but they resist the urge to insert themselves into every critical path. A Platform Engineer here builds automation that product teams actually adopt, which takes architectural judgment to anticipate failure modes they have not encountered yet. They also need the backbone to push back when teams want quick fixes that compromise reliability, and the interpersonal skill to make that pushback feel collaborative rather than obstructive. Strong candidates can point to something they built, something that broke at 3am, and how they rethought their assumptions afterward. You are not hiring for whether they know Terraform or Kubernetes today; you are hiring for how they think when the runbook ends.

Core Evaluation

Critical questions for this role

The competency and attitude questions below are where the hiring decision is made. They run in the live interview rounds and are calibrated to the level selected above.

16 Competency Questions

1 of 16

  1. Discipline

    Enterprise IT Administration

  2. Job requirement

    AI/ML Systems Operations

    Configures MLOps pipelines for model versioning; optimizes compute resource allocation for inference workloads; implements basic AI security controls; manages training data pipelines and storage.

  3. Expected at Mid

    AI/ML operations represent an emerging platform capability rather than a core mid-level requirement. To prevent shadow AI infrastructure and ungoverned compute costs, engineers at this level should operate under established MLOps frameworks and guidance when configuring pipelines, allocating inference resources, and implementing basic AI security controls, focusing on foundational support rather than independent architecture.

Interview round: Infrastructure & Security Technical

A team wants to deploy an AI coding assistant that sends code snippets to a third-party API. Engineering is enthusiastic; security has concerns. You're asked to evaluate. How do you proceed?

Positive indicators

  • Mentions specific data leakage risks
  • Describes technical controls beyond policy
  • Proposes measurable pilot with guardrails

Negative indicators

  • Approves based on engineering enthusiasm alone
  • Blocks without proposing alternative path
  • No plan for monitoring actual usage

12 Attitude Questions

1 of 12

Active Listening

The disciplined cognitive and behavioral practice of fully concentrating on, comprehending, and responding to spoken and unspoken communication in ways that ensure the speaker feels understood, valued, and accurately represented. For IT Administrators, this involves suspending technical solutioning to capture operational context, emotional subtext, and implicit constraints; verifying understanding through paraphrasing and clarification; and adapting communication style to bridge technical-non-technical divides while maintaining diagnostic accuracy.

Interview round: Recruiter Screen

Someone submits a request for 'faster laptop' citing vague performance issues. How do you proceed?

Positive indicators

  • Proposes specific diagnostic questions
  • Mentions observing workflow
  • Considers non-hardware solutions

Negative indicators

  • Immediately approves replacement
  • Dismisses request without exploration
  • Assumes user just wants new equipment

Supporting Evaluation

How candidates earn the selection conversation

The goal is to reduce effort for everyone by collecting more useful signal before adding more interviews. Lightweight application prompts and structured screens help the panel focus live time on the candidates most likely to succeed.

Stage 1 · Application

Filter at the door

Runs the moment a candidate hits Submit. Disqualifying answers end the application; everything else is captured for review.

Knock-out Questions

1 of 2

Application Screen: Knock-out

Do you have at least 2 years of hands-on experience administering enterprise Identity Providers (e.g., Okta, Entra ID) and implementing SCIM provisioning workflows?

Yes
Qualifies
No
Auto-decline

Video-Response Questions

1 of 3

Application Screen: Video Response

Walk us through how you would communicate a mandatory MFA rollout timeline to department heads who are pushing back due to workflow disruption. What specific steps do you take to ensure their operational realities are acknowledged while maintaining security compliance?

Candidate experience

REC
0:42 / 2:00
1Record
2Review
3Submit

Response time

2 min

Format

Recorded video

Stage 2 · Resume Screening

Read the resume against fixed criteria

Reviewers score every application that clears the door against the same criteria. Stronger reviews advance to live interviews; weaker ones are archived without further screening.

Resume Review Criteria

8 criteria
Design and implementation of automated HRIS-to-identity provider integrations using SCIM, APIs, or scripting to eliminate manual provisioning steps and establish reliable failure-handling processes.
Architecting least-privilege access controls across cloud environments using infrastructure-as-code, deploying centralized secrets management systems, and configuring role-based access for engineering teams.
Building self-service access workflows and integrating IT service management with developer communication platforms to reduce ticket volume and measure resolution time improvements.
Authoring and deploying security baseline configurations for operating systems, managing automated patch deployment strategies, and aligning endpoint policies with recognized compliance frameworks.

Does the cover letter or personal statement convey clear relevance and familiarity with the job?

Does the resume indicate required academic credentials, relevant certifications, or necessary training?

Is the resume complete, well-organized, and free from formatting, spelling, and grammar mistakes?

Does the resume show relevant prior work experience?

Stage 3 · During Interviews

Where the hire is decided

Interview rounds use the competency and attitude questions outlined above, then add tests, work simulations, and presentations that reveal deeper evidence about how the candidate thinks and works.

Presentation Prompt

Prepare a brief walkthrough of how you would design and deploy a zero-touch onboarding pipeline integrating an HRIS, an Identity Provider, and multiple SaaS applications. Discuss your architecture choices, error handling, rollback strategies, and how you would measure success post-deployment.

Format

deck-and-walkthrough · 20 min · ~2 hr prep

Audience

Platform Engineering Lead, Security Engineer, IT Manager

What to prepare

  • 3-5 slides or a structured outline
  • Diagram or flow of the proposed automation pipeline
  • Examples from past experience or well-reasoned hypotheticals

Deliverables

  • A 15-20 minute presentation walking through your pipeline design
  • Discussion of tradeoffs and operational readiness

Ground rules

  • Use only work you are permitted to share or construct hypothetical examples.
  • Focus on architectural reasoning and operational sustainability, not just tool selection.

Scoring anchors

Exceeds
Demonstrates deep systems thinking, anticipates cascading failures, designs graceful degradation paths, and ties automation metrics directly to developer productivity and audit readiness.
Meets
Presents a coherent pipeline architecture with clear steps, basic error handling, rollback options, and reasonable success metrics.
Below
Offers a brittle, linear workflow with no fallback strategy, ignores security/compliance implications, or fails to connect technical design to operational outcomes.

Response time

20 min

Positive indicators

  • Clearly maps data flow, API touchpoints, and integration contracts
  • Proactively addresses failure modes and manual intervention protocols
  • Balances developer experience with security guardrails
  • Articulates measurable success criteria and monitoring strategies

Negative indicators

  • Presents a linear success path without considering edge cases or rollbacks
  • Over-relies on vendor marketing features without architectural justification
  • Ignores cross-functional coordination or change management impact
  • Lacks clear ownership or escalation paths for pipeline failures

Work Simulation Scenario

Scenario. Engineering leadership wants a zero-touch onboarding pipeline that automatically provisions HRIS records to IdP groups, then cascades to SaaS apps via SCIM. You need to design the architecture and failure-handling strategy.

Problem to solve. Determine the technical approach, integration boundaries, and operational safeguards required to deliver reliable, secure automation.

Format

discovery-interview · 40 min · ~2 hr prep

Success criteria

  • Map out data flow and trust boundaries between systems
  • Identify failure modes and design compensating controls
  • Define ownership and escalation paths for automation breakdowns
  • Balance developer velocity with least-privilege access

What to review beforehand

  • SCIM provisioning standards
  • IdP group management best practices
  • Common SaaS onboarding automation patterns

Ground rules

  • Drive the conversation by asking targeted questions about security requirements, existing tooling, and operational expectations.
  • Focus on architecture decisions and tradeoffs.
  • Conclude with a clear summary of your proposed design and next steps.

Roles in scenario

Security Engineering Lead (informed_partner, played by peer)

Motivation. Wants automation to reduce manual access grants but insists on strict auditability and least-privilege enforcement.

Constraints

  • Requires immutable audit logs for all provisioning actions
  • Will not approve any solution that bypasses MFA or SSO for initial access
  • Expects automated deprovisioning to match provisioning speed

Tensions to introduce

  • Current SaaS apps have inconsistent SCIM support
  • Engineering wants day-one access to production environments
  • Security mandates manual approval for privileged roles

In-character guidance

  • Answer honestly about security boundaries and compliance requirements
  • Provide details on existing IdP capabilities and logging infrastructure when asked
  • Highlight friction points around privileged access and audit retention

Do not

  • Do not design the architecture for the candidate
  • Do not volunteer solutions to SCIM inconsistency or approval bottlenecks
  • Do not steer toward a specific vendor or tool

Scoring anchors

Exceeds
Architects a resilient, auditable pipeline with explicit failure handling, compensating controls for SCIM gaps, and clear operational ownership; balances security and velocity elegantly.
Meets
Identifies key integration points, acknowledges SCIM limitations, proposes reasonable fallback mechanisms, and aligns with security audit requirements.
Below
Overlooks critical security or audit constraints; assumes ideal vendor behavior; fails to address failure modes or operational handoffs.

Response time

40 min

Positive indicators

  • Asks clarifying questions about existing IdP capabilities, SCIM support gaps, and audit requirements
  • Surfaces assumptions about data consistency, error handling, and rollback mechanisms
  • Designs compensating controls for inconsistent SaaS support such as webhook fallbacks or staged provisioning
  • Articulates clear ownership and escalation paths for automation failures

Negative indicators

  • Assumes all target apps support full SCIM without verifying
  • Proposes bypassing security controls to meet velocity targets
  • Fails to address deprovisioning symmetry or audit trail requirements
  • Freezes when confronted with inconsistent vendor capabilities

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Enterprise IT Administration

7 competencies

CompetencyJuniorMidSeniorPrincipal
AI/ML Systems Operations

Monitors AI service health dashboards for anomalies; executes predefined model deployment scripts without modification; manages prompt libraries for administrative copilots; reports anomalies to senior staff rather than attempting independent resolution.

Configures MLOps pipelines for model versioning; optimizes compute resource allocation for inference workloads; implements basic AI security controls; manages training data pipelines and storage.

Architects secure AI integration patterns for enterprise data; implements vector database and RAG infrastructure; establishes model governance and bias monitoring; optimizes cost-performance for AI workloads.

Strategizes enterprise AI operational readiness; architects private AI infrastructure and on-premise LLM deployment; establishes AI ethics and compliance frameworks; pioneers AIOps for predictive IT management.

Automation & Workflow Orchestration

Executes existing PowerShell/Python scripts; modifies basic automation parameters based on documentation; monitors scheduled task execution through observability tooling; documents runbook procedures with sufficient detail for peer execution.

Develops intermediate scripts for user provisioning and system configuration; implements CI/CD pipelines for infrastructure code; creates automated alerting and remediation workflows; manages configuration drift.

Architects complex orchestration across heterogeneous systems; implements Infrastructure as Code at scale; develops self-service automation portals; establishes error handling and rollback procedures for automation.

Defines enterprise automation strategy and standards; evaluates RPA and low-code platforms; establishes governance for automation safety and auditability; drives hyperautomation initiatives across business processes.

Cloud Infrastructure Architecture

Deploys predefined cloud resources via templates; monitors basic resource health through observability dashboards; executes routine maintenance tasks; manages cost allocation tags to support FinOps visibility.

Configures virtual networks, VPN gateways, and hybrid connectivity; implements infrastructure as code (IaC); optimizes resource sizing and autoscaling; manages backup and disaster recovery configurations.

Architects multi-region, multi-cloud environments; designs network segmentation and security perimeters; implements GitOps workflows; optimizes cloud cost governance and FinOps practices.

Defines enterprise cloud strategy and landing zone architectures; establishes cloud governance frameworks; negotiates enterprise agreements with CSPs; pioneers serverless and containerization strategies for IT operations.

Endpoint Security & Device Management

Deploys standard OS images; installs antivirus and monitoring agents; processes hardware procurement and retirement tickets; applies predefined security baselines while monitoring endpoint telemetry for compliance drift.

Configures MDM policies (Intune, Jamf) for diverse device types; manages patch deployment rings; troubleshoots endpoint security incidents; implements disk encryption and DLP policies.

Architects endpoint security strategy across heterogeneous environments; integrates EDR/XDR solutions; develops custom compliance scripts; manages hardware refresh lifecycle and vendor relationships.

Defines enterprise endpoint architecture and BYOD policies; evaluates and selects security vendors; establishes zero-trust device compliance frameworks; drives automation of endpoint provisioning at scale.

Identity & Access Governance

Executes user account provisioning and deprovisioning per standardized tickets; resets credentials; applies predefined access templates; monitors basic identity synchronization alerts with attention to anomalies that indicate systemic issues.

Configures MFA policies, conditional access rules, and SSO integrations; conducts periodic access reviews; troubleshoots identity federation issues; implements role-based access control (RBAC) schemes.

Architects hybrid identity solutions spanning Active Directory, Entra ID, and cloud IdPs; develops automated provisioning workflows via SCIM/API; establishes access governance policies and privileged access management (PAM) frameworks.

Defines enterprise-wide identity strategy and zero-trust architecture; negotiates vendor contracts for IAM platforms; establishes cross-functional identity governance standards; drives passwordless and phishing-resistant authentication initiatives.

IT Service Management & Strategy

Processes tickets according to priority matrices with SLA awareness; follows escalation procedures strictly; documents incident details with sufficient context for root cause analysis; assists with asset inventory maintenance and service catalog curation.

Manages medium-complexity change requests; coordinates incident response across teams; maintains vendor relationships for support contracts; generates operational reports and metrics.

Designs ITSM processes and workflows; leads major incident response; manages IT budget allocation and forecasting; implements ITIL/ITSM tool configurations; mentors junior staff on process adherence.

Defines IT operating model and service catalog strategy; negotiates strategic vendor partnerships and enterprise licensing; establishes business continuity and disaster recovery governance; drives IT innovation roadmap aligned to business value.

SaaS Platform Administration

Configures user licenses and basic settings in admin consoles; handles routine support requests with SLA awareness; manages distribution lists and shared mailboxes; follows change request procedures for all configuration modifications.

Implements complex workflow configurations and security settings; manages SaaS-to-SaaS integrations via native connectors or iPaaS; conducts data retention and archival configuration; troubleshoots API connectivity issues.

Architects SaaS integration landscapes; implements advanced DLP and compliance policies across SaaS estate; develops automation for SaaS provisioning; evaluates and deploys new SaaS solutions based on business requirements.

Strategizes enterprise SaaS portfolio rationalization; establishes SaaS governance and shadow IT detection programs; negotiates enterprise licensing; designs API-first integration strategies spanning multiple business units.