Senior Ruby on Rails Engineer — GenAI & API Expert

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Austin, TX is seeking an experienced Senior Software Engineer to design, develop, and maintain large-scale web applications with Ruby on Rails and API-focused work. You will optimize data models, APIs, and interfaces while ensuring performance and quality across services.

You will collaborate with cross-functional teams, integrate GenAI into workflows, and contribute to documentation and best practices.

Qualifications

• 6+ years of senior software engineering experience.
• 6+ years with Ruby on Rails and Ruby.
• 6+ years in API design and interface technologies (JSON, ProtoBuf, REST, RPC, XML).
• Experience integrating GenAI into development workflows.

Responsibilities

• Design, develop, test, and implement large-scale web applications and full-stack components.
• Build and maintain web apps using Ruby on Rails and Ruby.
• Design and develop APIs and interface technologies (JSON, ProtoBuf, REST, RPC, XML).
• Design, develop, and optimize databases (PostgreSQL, MySQL).
• Troubleshoot performance, latency, capacity and system limits.
• Ensure data quality and consistency across apps.
• Collaborate with business, database, systems, networking teams and vendors.
• Create and maintain technical docs.
• Integrate GenAI into software development workflows.

Skills

Senior software engineering

Ruby on Rails & Ruby

API design & interfaces

GenAI integration in dev workflows

Tools

GoLang

Core Java

Erlang

C++

Rust

CircleCI

Jenkins

AWS infrastructure

Job description

Cloud Analytics Technologies, LLC in Austin, TX is seeking an experienced Senior Software Engineer to design, develop, and maintain large-scale web applications with Ruby on Rails and API-focused work. You will optimize data models, APIs, and interfaces while ensuring performance and quality across services.

You will collaborate with cross-functional teams, integrate GenAI into workflows, and contribute to documentation and best practices.