AI Integrations Engineer

Join Miro's Business Technology (BizTech) team as an AI Integrations Engineer. You will be the link between our core business systems, working closely with various departments to identify challenges and develop technical solutions. Your responsibilities will include building and scaling integrations, developing custom microservices, and driving an AI-first culture. You should have 5-7 years of experience in production automations and enterprise SaaS integrations, a strong software engineering background, and expertise in integration and middleware.

• Partner directly with business stakeholders to map workflows, identify bottlenecks, and build technical solutions.
• Design and maintain robust integrations between core enterprise systems to ensure secure, real-time data flow and process automation.
• Take full ownership of projects from initial scoping and system design to deployment, monitoring, and continuous iteration.
• 5-7 years of experience in production automations and enterprise Saas integrations
• We need a proactive problem-solver who operates with a "go figure it out" mentality—someone who isn’t afraid to experiment, architect innovative improvements, and see them through to delivery
• If you are an AI-first thinker who loves building cutting-edge agentic workflows, leveraging iPaaS platforms, and developing custom microservices to create a seamless operational ecosystem, we want you on our team
• Consultative Mindset: Excellent communication skills with the ability to translate complex technical concepts into clear business value for non-technical leaders
• Enterprise System Fluency: Deep, hands-on experience integrating with and navigating the APIs of major SaaS platforms such as Salesforce, NetSuite, Zendesk, Marketo, and Jira
• Software Engineering Foundation: Strong software engineering background with hands-on experience building, testing, and deploying scalable microservices preferrably using java — comfortable owning the full lifecycle from design to production
• Integration & Middleware Expertise: Proven, hands-on experience building complex automations on Workato — including recipe logic, custom connectors, and Workato's agentic capabilities (e.g., Workato Genie, Agentic Studio). Experience with other platforms (e.g., MuleSoft, Boomi, or similar) is a plus
• AI Tooling & Agentic Experience: You actively use AI-assisted development tools to multiply your productivity and have practical experience (or a strong foundational understanding) of building LLM-driven agents and MCPs
• Core Systems Architecture Skills: Solid understanding of API design (REST, GraphQL), modern authentication standards (OAuth 2.0, JWT, API keys), data modeling, and event-driven architectures (webhooks, pub/sub messaging). Familiarity with CI/CD pipelines, GitOps practices, and secure credential management for integrations
• The "Go Figure It Out" Attitude: A high degree of autonomy, a willingness to experiment with new technologies, and a relentless drive to find the best possible solution to ambiguous problems
• Reliability & Observability Mindset: Experience monitoring integration health, setting up alerting, and ensuring production pipelines are auditable and recoverable — not just built and shipped