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 Workatos 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

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. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of 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!

Also feel free to check out why:

• Business Insider named us an enterprise startup to bet your career on

• Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America

• Quartz ranked us the #1 best company for remote workers

Responsibilities

Were looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it the event-driven services real-time integrations and APIs that let agents reliably do real work. Youll be building the systems that need to stay correct and available on our path to 1M users over the next year. You will:

• Build event-driven horizontally-scalable backend services that process work reliably and correctly even when parts of the system fail.
• Build real-time surfaces and integrations streaming connections gateways and CLIs that hold up under load.
• Integrate LLMs and agentic harnesses into production systems.
• Drive features end-to-end from ideation and architecture through deployment observability and iteration.
• Raise the engineering bar through clean well-tested code thoughtful reviews and mentorship.

Requirements

Qualifications / Experience / Technical Skills

• 5 years shipping and operating production backend systems at scale.
• Strong proficiency in Python and the judgment to write clean well-tested maintainable code under it.
• Deep distributed-systems fundamentals: you know how to keep systems correct and available under partial failure backpressure and load and you design for it by default.
• Hands-on experience with event-driven streaming or real-time systems (queues pub/sub long-lived connections).
• Comfortable operating services in production on Kubernetes in the cloud and instrumenting them with metrics tracing and dashboards so you can debug what you ship.
• Solid API and software-architecture instincts; you make and defend sensible trade-offs in ambiguity.
• LLM/agentic and developer-facing product experience (MCP RAG APIs SDKs CLIs) a strong plus.

Our stack: Python FastAPI Postgres Kubernetes AWS. You dont need prior experience with all of it we care that you can pick it up fast.

Soft Skills / Personal Characteristics

• High agency and ownership: You drive work end-to-end from ambiguity to shipped and iterated without waiting to be told.
• A reliability mindset: You design for failure not just the happy path.
• Product-minded: You care about the users using what you build not just the system behind it.
• AI-native: You use modern AI tooling (e.g. Claude Code) in your daily workflow and stay at the cutting edge of what it can do.
• Excellent written communication: We work async and write things down.