Senior Software Engineer 2

Overview

• Lead back-end development efforts, building robust, scalable, and high-quality server-side solutions.
• Collaborate with Product and Design teams to translate customer needs into efficient, high-impact technical solutions.
• Break down complex requirements into actionable tasks with detailed technical specifications and clear acceptance criteria.
• Implement new features while maintaining and enhancing APIs, services, and data layers with strong testing coverage (unit and integration).
• Work with relational and non-relational databases to optimize queries and ensure data reliability.
• Integrate seamlessly with third-party tools and services (e.g., RabbitMQ, external APIs).
• Drive ongoing refactoring efforts to maintain a modern, efficient, and maintainable codebase.
• Participate in planning, design discussions, and decision-making to improve workflows and collaboration.
• Mentor engineers through code reviews, pairing, and knowledge-sharing to foster technical excellence and team growth.
  
  

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 8+ years of professional experience with Ruby and Ruby frameworks (Rails, Grape, Sinatra).
• Strong test-driven development (TDD) mindset using frameworks like RSpec.
• Hands-on experience with PostgreSQL, MySQL, and non-relational databases.
• Proficiency in message brokers such as RabbitMQ.
• Experience building and maintaining RESTful APIs; exposure to GraphQL is a plus.
• Proven leadership in mentoring engineers and raising technical standards.
• Strong collaboration skills with cross-functional teams (Engineering, Product, Design).
• Excellent communication and documentation abilities.
• Demonstrated ownership, problem-solving skills, and ability to drive ideas to delivery.
  
  

• Familiarity with CI/CD tools such as JIRA, Confluence, Bitbucket (or other Git servers), and Jenkins.
• Experience with refactoring and modernization of large-scale applications.
• Knowledge of testing SaaS applications and microservices architectures.
• Basic proficiency in Java or Python.
• Understands how to use AI tools to speed up development and automate tasks, with the ability to create effective pre-context and prompts.