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

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)

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

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).