Senior Software Engineer

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

We are seeking a highly skilled Senior Software Engineer, Product & Engineering, with a minimum of 7 years of experience in application or product development to join our growing AI Apps & Marketplace Engineering team. In this role, you will lead the design, development, and evolution of enterprise-grade AI Apps using Workato's AI Apps Framework, and Packaged Genies using Workato's Agent Studio. These solutions rely on robust, scalable Skills that enable them to interact with applications, orchestrate workflows, and support sophisticated business scenarios. You will partner closely with cross-functional leaders to define architecture, establish best practices, and drive the creation of reusable, platform-ready components within Workato's broader ecosystem of AI-driven solutions.

In this role, you will also be responsible to:

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  Designing and developing enterprise-ready AI Apps and Packaged Genies that enable intelligent automation across diverse functional domains and business processes.

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  Architecting advanced Skills that empower Genies to perform complex, multi-system actions—encompassing knowledge retrieval, approval workflows, notifications, and end-to-end workflow orchestration.

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  Translating high-level business and technical requirements into scalable architectures, Skill specifications, and orchestration patterns for both AI Apps and Packaged Genies.

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  Driving engineering excellence by defining coding standards, reviewing designs, establishing CI/CD pipelines, and ensuring alignment with platform and product architecture.

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  Building highly modular, maintainable, and performance-optimized logic suitable for diverse customer deployment scenarios and enterprise configurations.

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  Troubleshooting complex issues across multi-system integrations, optimizing execution paths, and ensuring reliability and resiliency of AI-driven behaviors.

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  Creating and maintaining comprehensive documentation for architectural decisions, prompt engineering strategies, integration approaches, and engineering best practices.

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  Identifying opportunities to expand capabilities across new functional domains and influencing roadmap priorities.

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  Mentoring engineers, guiding technical decisions, and fostering a culture of quality, reusability, and innovation as the team scales.