Senior AI Integrations & Automation Engineer
Cloudinary is seeking a Senior AI Integrations & Automation Engineer to drive automation, integrations, and AI enablement across the organization. Reporting to the VP of MIS (CFO Office), this is a high-impact individual contributor role responsible for designing and delivering scalable integrations and AI-powered workflows that improve efficiency and accelerate business execution.
This role combines deep technical expertise with practical AI application (including LLM-based workflows), operating with a strong MVP-first, bias-for-action approach and full ownership from design through production and optimization. It plays a key role in shaping Cloudinary’s modern MIS capabilities and business infrastructure.
Key Responsibilities
Design, build, and deploy integrations across enterprise systems (Salesforce, NetSuite, Slack, Okta)
Deliver MVP-first solutions and iterate based on feedback
Implement integrations via iPaaS (Workato, Zapier, Make, Tray), custom APIs (Python, Node.js), or hybrid approaches
Own and operate the MCP Gateway as a central AI integration platform
Build reusable connectors and expand platform capabilities
Ensure reliability, security, scalability (monitoring, retries, auth, rate limiting, versioning)
Develop AI-powered workflows and tools (LLMs, agents, RAG, function calling)
Apply responsible AI practices (governance, auditability, compliance)
Ensure system reliability and operational excellence (logging, alerting, runbooks, incident response)
Own integrations end-to-end, including documentation and maintainability
Collaborate cross-functionally (Finance, GTM, CS, Security, IT) to translate needs into scalable solutions
Identify and drive automation opportunities across the organization
Scope
In scope: automation workflows, MCP Gateway, AI tools, business system integrations, reliability & observability
Out of scope: physical IT operations, endpoint support
Requirements
Technical
5+ years in integrations / MIS / systems engineering in SaaS environments
Strong API experience (REST, GraphQL, webhooks)
Proficiency in Python or JavaScript (Node.js / TypeScript)
Hands-on experience with iPaaS tools (Workato, Zapier, Make, Tray)
Familiarity with enterprise systems (Salesforce, Okta, NetSuite, Google Workspace)
Understanding of IAM, OAuth, API security, and compliance (SOC2, ISO, GDPR)
AI & Automation
Experience building AI-powered workflows or tools
Understanding of LLM systems, orchestration, and integrations
Familiarity with MCP or similar frameworks (preferred)
Execution
Proven ability to deliver quickly (MVP → iterate → scale)
Strong problem-solving and iterative mindset
Comfortable in fast-paced, ambiguous environments
Professional
Strong communication skills
High standards for documentation and maintainability
Self-driven, proactive, and outcome-oriented
Collaborative and transparent
Nice to Have
Experience with MCP or API mediation layers
Event-driven architectures or data pipelines
Relevant certifications (Okta, Salesforce, Workato)
Success Metrics
Integration delivery speed and throughput
Adoption and impact of automation (time saved, efficiency gains)
MCP Gateway reliability and scalability
Reduction in operational overhead
Stakeholder satisfaction
Senior AI Integrations & Automation Engineer
Senior AI Integrations & Automation Engineer