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 versátil, 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.

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

We seek an exceptional Senior Go Engineer to join the Workato Genie team. In this role, you will be responsible for developing mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution. In this role, you will also be responsible to:

- Build high-performance gateways and routing components
- Build server-side infrastructure for logging and monitoring




- Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed
- Collaborate closely with the AI team to design and implement innovative features for a new AI assistant, ensuring cutting-edge performance and user experience.
- Contribute at all phases of the development lifecycle
- Write well-designed, testable, efficient code
- Evaluate and propose improvements to the existing system
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Requirements

Qualifications / Experience / Technical Skills

- BS/MS degree in Computer Science, Engineering, or a related subject
- 8+ years of industry experience
- Strong experience with Go language at backend (4+ years)
- Excellent debugging, analytical, problem-solving, and social skills
- Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
- Experience with building and scaling distributed, highly available systems
- Experience in Ruby on Rails is a plus
- Contributions to open-source projects are a big plus
- Understanding of possible bottlenecks in a code and a solution in general
- At least basic knowledge of Kubernetes concepts and configuration

Nice to Haves

- Experience with Docker and other isolation technologies
- Experience with Redis-based caching
- Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
- Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc)
- Experience with third-party REST APIs at scale (request throttling, batch processing, etc)

Soft Skills / Personal Characteristics

- Readiness to work remotely with teams distributed across the world and timezones
- Spoken English (at a level enough to pass technical interviews and work with colleagues)
- Open to new technologies and willing to experiment
- Full-cycle product feature delivery mindset (from design to production and maintenance).

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📌 Senior Software Engineer (Madrid)
🏢 Workato
📍 Madrid