About Workato 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.

Why Join Us

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care .

Benefits

they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Responsibilities

We're looking for an exceptional Staff Software Engineer to help define and build the distributed backend that powers our AI agent platform and the developer-facing products around it. You'll architect the event-driven services, real-time integrations, APIs, gateways, and platform capabilities that enable AI agents to reliably perform work at enterprise scale. As a Staff Engineer, you'll operate beyond individual features—you'll influence technical direction across teams, establish architectural patterns, and build the foundational systems that will support millions of users as Workato's AI platform continues to grow.

You will: Architect and build highly scalable, event-driven backend systems that remain correct, resilient, and available under partial failure and production load. Design the core platform capabilities—including APIs, streaming services, gateways, CLIs, and developer infrastructure—that power AI agents and developer-facing products. Lead the technical design and evolution of distributed systems, making thoughtful architectural tradeoffs around scalability, reliability, developer experience, and operational excellence.

Integrate LLMs, agent frameworks, MCP, RAG, and other AI-native capabilities into production systems that serve enterprise customers. Drive initiatives end-to-end—from product ideation and technical strategy through architecture, implementation, deployment, observability, and continuous improvement. Partner closely with Product, Infrastructure, AI Research, and Developer Relations to shape the roadmap and developer experience for our AI platform.

Establish engineering best practices through architecture reviews, design leadership, code reviews, technical mentorship, and raising the engineering bar across the organization. Build systems that are observable, measurable, and resilient, with strong validation, monitoring, tracing, and operational tooling. Influence platform strategy by identifying opportunities to simplify systems, reduce operational complexity, and improve developer productivity.

Requirements

Qualifications

/ Experience / Technical Skills 10+ years of experience designing, building, and operating production backend systems at scale. Expert-level proficiency in Python, with a demonstrated ability to write clean, maintainable, well-tested code and lead through hands-on technical execution.

Staff Software Engineer - AI Platform / Distributed Systems Engineer