Staff Engineer – Automations and Infrastructure

Laurel

Staff Engineer managing corporate IT infrastructure and automations for a leading AI Time platform. Responsible for integrating systems, cloud infrastructure, and internal AI tools.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesLead💰 $178,000 - $197,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and managing cloud-based infrastructure, including AWS, GCP, or Azure, while ensuring reliable automation systems and AI tooling governance. Proven ability to engage stakeholders and communicate effectively in high-growth environments.

Highest-signal resume keywords

Cloud Infrastructure ManagementAI-Powered Systems ArchitectureIdentity Lifecycle ManagementAutomation Workflow DesignStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud ComputingAI Infrastructure ManagementCI/CD StandardsAutomation Systems ArchitectureOnboarding/Offboarding WorkflowsAccess GovernanceError Handling PatternsSaaS Ecosystem ManagementIPaaS SolutionsArchitectural Thinking

Soft Skills

Clear JudgmentCommunication Skills

Tools & Technologies

AWSGCPAzureOktaSalesforceWorkatoMacOSVercelSupabaseChatGPT

Industry Keywords

Cloud-First EnvironmentHigh-GrowthStartup EnvironmentAccess ControlsLeast-Privilege PrinciplesAudit Readiness

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMacOS

About the role

Key responsibilities & impact

Own the architecture and technical strategy for internal automation systems — defining how the company's tech stack (HRIS, Okta, Salesforce, and others) connects, scales, and stays maintainable
Architect and manage cloud-based infrastructure (AWS, GCP, or Azure) — including compute, networking, storage, and security
Design and automate onboarding/offboarding workflows, including provisioning and deprovisioning access
Own the architecture and lifecycle of internal AI tooling (e.g. Vercel, Supabase, Claude, ChatGPT— from evaluation through deployment, access governance, and deprecation
Ensure proper access controls, least-privilege principles, and audit readiness across systems
Establish CI/CD standards and error-handling patterns for automation systems so they're reliable, observable, and maintainable at scale

Requirements

What you’ll need

7+ years of experience managing corporate IT infrastructure in a modern, cloud-first environment
Demonstrated experience building or operating AI-powered systems — including evaluating LLM tooling, managing AI infrastructure, and thinking critically about reliability, cost, and governance tradeoffs
Strong experience with Workato or similar IPaaS solution, MacOS, and managing Okta or similar IDP platforms
Clear judgment, architectural thinking, and the ability to drive complex systems
Proven experience managing SaaS ecosystems and identity lifecycle (onboarding/offboarding)
Experience working in high-growth or startup environments
Excellent stakeholder engagement and communication skills.

Benefits

Comp & perks

Comprehensive medical/dental/vision coverage with covered premiums
401(k)
Additional benefits including wellness/commuter/FSA stipends.