Senior Go Engineer (AI Lab)
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. To learn more, visit www.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
You will join the Workato 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 Asia’s 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 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. 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
Apply To This Job
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. To learn more, visit www.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
You will join the Workato 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 Asia’s 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 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. 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
Apply To This Job