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

You will join theWorkato AI Lab which partners with industry leaders public sector organizations and academic institutions to build real-world AI solutions. Join our multidisciplinary team as we pioneer next-generation AI innovation for Asias top enterprises. From driving agentic orchestration to building robust AI governance frameworks your work will shape the future of intelligent automation for leading organizations across the region.

We seek an exceptional Senior Go Engineer to join the Workato Genie 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. You will also be accountable 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

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

Optional Requirements

• 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).

Job Req ID: 2423