G

Backend Engineer

Goliath Partners • San Francisco Bay Area
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AI Summary

Design and build core infrastructure services enabling AI agents to securely operate across enterprise environments. Develop integrations with enterprise SaaS platforms, identity systems, and cloud infrastructure for reliable AI workflows. Requires 2+ years of experience in backend systems, distributed systems, and cloud infrastructure with strong security focus.

Key Highlights
Build secure connectivity and integrations for AI agents with enterprise systems like Google Workspace, Microsoft 365, and SAP.
Design and operate core infrastructure for identity, authentication, authorization, and tenant management.
Take ownership of platform components from architecture through deployment, observability, and incident response.
Key Responsibilities
Design, build, and scale core infrastructure services supporting AI workloads and enterprise customers.
Develop platform capabilities for identity, authentication, authorization, access policies, tenant management, and customer lifecycle operations.
Build and maintain secure connectivity between AI agents and business applications including Google Workspace, Microsoft 365, Slack, Teams, Zoom, email, and telephony platforms.
Develop integrations with enterprise systems such as NetSuite, SharePoint, Google Drive, SAP, Oracle, and other business-critical applications.
Create APIs, internal services, and reusable infrastructure abstractions that allow AI applications to securely interact with external systems.
Build systems supporting customer provisioning, onboarding, configuration, deployment, and environment management.
Take ownership of infrastructure and platform components from architecture and implementation through deployment, observability, incident response, and continuous improvement.
Drive improvements in availability, scalability, performance, resilience, and fault tolerance as the platform and customer base expand.
Collaborate with AI, security, infrastructure, and product engineering teams to define service boundaries, APIs, architectural patterns, and reusable platform capabilities.
Automate operational processes, deployment workflows, infrastructure management, and repetitive engineering tasks.
Implement security and governance controls around data isolation, access management, auditing, and AI-initiated actions.
Contribute to architectural decisions as the platform evolves to support new enterprise use cases and requirements.
Lead technical initiatives from early investigation and architecture through production launch and ongoing ownership.
Establish infrastructure standards, engineering patterns, and operational best practices that improve reliability and developer productivity across the organization.

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Technical Skills Required
Backend Systems Distributed Systems Cloud Infrastructure
Benefits & Perks
Base Salary: $245,000 – $300,000
Medical, dental, and vision insurance
401(k) plan
Visa sponsorship available

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

Job Description

We’re partnering with a fast-growing AI technology company building the infrastructure that enables intelligent software agents to securely operate across real-world enterprise environments.

The company is creating a platform that allows AI agents to discover, authenticate with, access, and interact with the applications and systems businesses depend on every day. By bringing together identity, connectivity, permissions, security, and infrastructure, the platform enables AI-powered workflows to execute reliably across complex enterprise technology ecosystems.

The Role

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Job Overview
Posted Date Oct 05, 2026
Employment Type Full-time
Experience Level Mid-Senior level
Location San Francisco Bay Area
Category Programming
Company Goliath Partners
Mentioned Skills
oracle ai fault tolerance incident response saas san cloud slack zoom

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