Senior Software Engineer

About Workato
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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?
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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

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

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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