Senior Backend Developer, GOlang (backend for AI services)

Workato; España; Remote; EUR 90,000 - 120,000; Full time

Job summary

Workato is seeking a Senior Go Engineer to join the Genie team, developing core platform features including AI chatbot dispatching and managing synchronous/asynchronous AI execution. You will build gateways, logging infrastructure, and scale distributed systems with SRE support while collaborating with AI teams.

You will contribute across the full development lifecycle, write robust code, and evaluate new technologies to improve performance and reliability, helping enterprise-scale AI

Qualifications

• 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 building blocks of large web apps: databases, load balancers, etc.
• Experience with building and scaling distributed, highly available systems.
• Experience in Ruby on Rails is a plus.
• Basic Kubernetes concepts and configuration.

Responsibilities

• Build high-performance gateways and routing components.
• Build server-side infrastructure for logging and monitoring.
• Collaborate with Infra and SRE for high availability and scalability.
• Work with AI team to design features for a new AI assistant.
• Contribute at all phases of the development lifecycle.
• Write well-designed, testable, efficient code.
• Evaluate and propose improvements to the existing system.
• Investigate alternatives and technologies for architectural review.

Skills

Go Backend

Distributed Systems

Debugging

Analytical Thinking

Team Collaboration

Kubernetes Basics

Education

BS/MS in CS/Engineering

Tools

Ruby on Rails

Docker

Redis

Public Cloud (AWS/Azure/GCP)

Job description

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.

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. 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

Requirements

• 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)

*Other *

• 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).