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A hybrid role at Cloudinary.
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Original listing text, shown exactly as published by the company.
The platform. Build and maintain the shared integration and automation infrastructure layer that connects our internal systems and exposes them to AI safely - reusable connectors, reliability, security, and observability.
The solutions. Build internal tools, automations, and AI agents on top of it — integrations across enterprise SaaS (Salesforce, NetSuite, Slack, Okta), and LLM-powered workflows for things like triage, provisioning, document processing, and reporting.
The right tool for the job. Low-code/iPaaS, custom code, or a hybrid — whatever delivers value fastest and stays maintainable, with responsible-AI practices throughout.
How You’ll Work
Deliver MVP-first and iterate on real usage; favor pragmatic, simplicity-first solutions over over-engineering
Own what you build end to end — design through production support — with documentation others can maintain
Communicate trade-offs clearly, and quantify the value you deliver
Scope
In scope: the internal AI-integration and automation platform and everything built on it; business infrastructure for teams across Finance, HR, GTM, Security, and IT; integration reliability and observability.
Out of scope: physical IT operations (device provisioning, inventory, AV) and endpoint/office IT support.
Core experience
7+ years in integrations, business systems / MIS, or systems engineering within SaaS environments, with senior-level ownership
Hands-on experience integrating systems you don’t control — their APIs (REST, GraphQL, webhooks), auth flows, rate limits, and imperfect data
Proficiency in Python and/or JavaScript (Node.js/TypeScript)
Experience with low-code/iPaaS platforms (Workato, Zapier, Make, Tray) and judgment about when to use them vs. custom code
Experience with AI-to-system integration standards (e.g., MCP)
Familiarity with enterprise systems (Okta, Salesforce, NetSuite, Google Workspace) and with IAM/OAuth, API security, and compliance (SOC 2, ISO, GDPR)
AI & automation
Practical experience building AI-powered workflows, tools, or agents in production
Working understanding of LLM systems — orchestration, tool/function calling, RAG — and a clear sense of when AI is and isn’t the right approach
Execution & ways of working
Deliver in days and weeks, not months: MVP, iterate, scale
Comfortable operating in ambiguity with minimal existing scaffolding
A service mindset toward internal stakeholders, with strong communication and a high bar for documentation and maintainability
Self-driven, proactive, outcome-oriented, and collaborative
Experience building or operating an internal AI/integration platform used by other teams…
Cloudinary
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Cloudinary is a SaaS company providing cloud media management services for websites and apps. The company is headquartered in San Jose, California.
Source: Wikipedia
