Senior Software Engineer

Summary

Join Workato's Genie team as a Senior GO Engineer and develop mission-critical features and services for the Workato platform. You will build high-performance gateways, server-side infrastructure, and collaborate with other teams to ensure high availability and scalability. This role involves contributing to all phases of the development lifecycle, writing efficient code, and proposing system improvements. The ideal candidate possesses a BS/MS in Computer Science or a related field, 8+ years of industry experience, and strong Go language proficiency. Workato offers a flexible, trust-oriented culture and a multitude of benefits.

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
• Understanding of possible bottlenecks in a code and a solution in general
• At least basic knowledge of Kubernetes concepts and configuration
• 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)

Responsibilities

• Develop mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution
• 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

Preferred Qualifications

• Experience in Ruby on Rails
• Contributions to open-source projects
• 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)

Benefits

• Vibrant and dynamic work environment
• A multitude of benefits they can enjoy inside and outside of their work lives