Platform Engineer (AI Workloads & Enterprise Integrations)

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.

As an Platform Engineer, you’ll play a key role in building the systems that allow these AI-driven workloads to run securely, reliably, and at scale. You’ll operate at the intersection of cloud infrastructure, backend engineering, security, enterprise integrations, and developer tooling, with broad ownership over the systems that power customer environments.

What You’ll Work On

• 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 critical enterprise platforms including NetSuite, SharePoint, Google Drive, SAP, Oracle, and similar business applications.
• Develop reusable infrastructure and engineering tooling that simplifies customer provisioning, configuration, deployment, and environment management.
• Maintain highly available production systems, with responsibility spanning deployment, monitoring, observability, incident response, and performance.
• Identify infrastructure bottlenecks and architectural challenges as the platform expands across customers and increasingly complex workloads.
• Partner closely 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.

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• Design security mechanisms around tenant isolation, data protection, authentication, authorization, and system auditing.
• Help shape the underlying architecture as the company scales its product, engineering organization, and customer base.
• Take ownership of projects end-to-end, from initial technical design and architectural decisions through production deployment and ongoing operation.
• Help establish engineering standards, reusable infrastructure patterns, and technical best practices across the organization.

What You’ll Bring

• Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, Infrastructure Engineering, or a related technical discipline.
• 2+ years of experience building production software, cloud infrastructure, backend systems, or distributed platforms.
• Experience working on systems where scalability, reliability, security, and performance are critical.
• Strong understanding of IAM, authentication, authorization, RBAC, APIs, permissions, and distributed systems.
• Experience integrating software with enterprise SaaS products, productivity platforms, communication tools, or other business-critical applications.
• Hands-on experience with cloud environments, production deployments, monitoring, observability, incident response, and on-call operations.
• Ability to move comfortably between infrastructure and application layers when debugging and solving complex technical problems.
• Strong software engineering fundamentals and sound judgment when making architectural decisions for production systems.

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• Track record of independently driving technical projects from design through implementation and production ownership.
• Familiarity with enterprise security, SOC 2, compliance, data protection, access governance, or vendor security processes is a plus.
• Strong communication skills and the ability to collaborate across infrastructure, software, and AI engineering teams.
• Comfortable operating in an early-stage environment where engineers have significant autonomy and responsibilities evolve quickly.

Compensation & Benefits

• Base Salary: $230,000 – $285,000, depending on experience
• Location: San Francisco, CA, Hybrid
• Medical, dental, and vision coverage for employees and dependents
• 401(k)
• Visa sponsorship
• Significant ownership across infrastructure, systems, and platform architecture
• Opportunity to help build the foundational technical infrastructure behind a rapidly scaling AI company