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You will be responsible for developing mission-critical features for the Workato platform, including AI chatbot dispatching and AI execution balancing. You will also collaborate with infrastructure and AI teams to build high-performance gateways and scalable server-side components.
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.
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:
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
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
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)
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).
(REQ ID: 2941)
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