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Platform Engineer (AI Workloads & Enterprise Integrations)

San Francisco Bay Area
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build and scale secure, reliable cloud infrastructure for AI-driven enterprise digital workers. Own foundational identity and access services, enterprise app integrations, and internal developer/platform tooling. Ensure production excellence through monitoring, incident response, observability, and continuous performance and security improvements.

Key Highlights
Own end-to-end platform systems enabling secure, scalable AI workloads across enterprise customer environments
Build identity and access governance capabilities including authentication, authorization, permissions, and RBAC
Drive production reliability with deployment, monitoring, observability, incident response, and performance management
Key Responsibilities
Build and scale cloud infrastructure that supports AI workloads across multiple enterprise customer environments.
Develop foundational services for identity, authentication, authorization, permissions, RBAC, and access governance.
Build secure interfaces between AI agents and business applications such as Google Workspace, Microsoft 365, Slack, Teams, Zoom, email, and telephony systems.
Own integrations with enterprise platforms including NetSuite, SharePoint, Google Drive, SAP, Oracle, and similar business applications.
Develop reusable infrastructure and engineering tooling to simplify customer provisioning, configuration, deployment, and environment management.
Maintain highly available production systems including deployment, monitoring, observability, incident response, and performance.
Identify infrastructure bottlenecks and architectural challenges as the platform expands across customers and workloads.
Partner with AI and application engineers to build APIs, backend services, infrastructure abstractions, and internal platforms.
Automate repetitive operational and deployment processes to improve engineering velocity and streamline customer implementations.
Design security mechanisms around tenant isolation, data protection, authentication, authorization, and system auditing.
Shape underlying architecture as the company scales its product, engineering organization, and customer base.
Take ownership of projects end-to-end from technical design and architectural decisions through production deployment and ongoing operations.
Establish engineering standards, reusable infrastructure patterns, and technical best practices across the organization.

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Technical Skills Required
Amazon Web Services Distributed systems Identity and Access Management (IAM)
Benefits & Perks
Base salary: $230,000 – $285,000
Medical, dental, and vision coverage for employees and dependents
401(k)

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Nice to Have
Familiarity with enterprise security, SOC 2, compliance, data protection, access governance, or vendor security processes.

Job Description

We’re working with a rapidly scaling AI company building intelligent digital workers designed to execute sophisticated operational processes for enterprise organizations. The company’s technology brings together AI, cloud infrastructure, distributed systems, enterprise applications, and security to give AI agents the ability to securely interact with the software and services businesses rely on every day.

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Job Overview
Posted Sep 24, 2026
Employment Full-time
Experience Mid-Senior level
Location San Francisco Bay Area
Category Programming
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