About the role
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.
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. That’s 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
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, you will also be responsible to:
- Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
- Work on runtime-level components operating under high concurrency and throughput.
- Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.