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