Coinbase - Software Engineer, EAA Integrations

• Design, automate, and maintain integrations across enterprise applications and platforms using Workato, custom connectors, and reusable automation frameworks. • Architect scalable automation solutions and solve complex integration challenges by applying Workato best practices, patterns, and governance standards. • Integrate Workato workflows with AI/LLM services (such as OpenAI, Anthropic, or enterprise LLMs) to automate intelligent decision-making, content generation, or data enrichment. • Design frameworks and reusable components for incorporating LLMs into business processes, ensuring secure, ethical, and scalable usage. • Evaluate new AI/LLM capabilities and propose opportunities to embed them into enterprise automation strategies. • Collaborate with business Units and engineering teams to gather, refine, and translate requirements into reliable Workato workflows and integrations. • Build, optimize, and support ETL/ELT processes through Workato pipelines and related data integration tools to enable accurate business analytics. • Identify and implement improvements to address architectural gaps, enhance performance, and reduce technical debt across automation and integration ecosystems. • Participate in recipe reviews and architectural assessments to maintain quality, consistency, and adherence to platform standards. • Manage Workato deployments, versioning, and configuration changes, and actively participate in release planning and execution. • Provide troubleshooting assistance, platform guidance, and mentorship to team members and stakeholders using Workato. • Stay current with automation, integration, AI/LLM advancements, and Workato platform enhancements to continuously strengthen our integration strategy. • Actively contribute to team discussions and provide input on automation architecture, integration frameworks, and the Workato roadmap. • What we look for in you (i.e., job requirements) • Minimum 2–4 years of hands-on experience in integration development, including designing, building, and supporting integrations across enterprise systems. • At least 1–2 years of strong, practical experience with Workato, including recipe development, custom connectors, job frameworks, error handling patterns, and platform governance. • Experience architecting automation solutions using Workato or similar iPaaS tools with an ability to define scalable patterns and reusable components. • Solid understanding of APIs, webhooks, REST principles, and payload formats such as JSON and XML. • Familiarity with ETL/ELT concepts and experience supporting or building data pipelines. • Exposure to AI/LLM technologies and the ability to integrate AI services into automation workflows. • Understanding of responsible AI usage, including security, compliance, and data-handling considerations when working with LLMs. • Strong analytical and problem-solving skills, with the ability to troubleshoot complex integration issues end-to-end. • Ability to manage multiple priorities, work independently, and thrive in a fast-paced, dynamic environment. • Excellent communication and collaboration skills, with the ability to partner effectively with technical and non-technical stakeholders.