Ruby Labs

Growth Marketing

• Conduct creative research for Meta campaigns across multiple regions.
• Testing new ideas and hypotheses for maximizing results.
• Analyze campaign performance hourly/daily/weekly/monthly + flagging key trends or anomalies.
• Track and manage the Meta source.
• Campaign optimization based on CPA & ROAS results.
• Collaborate with team members on campaign execution and planning.

User Acquisition Specialist, Junior-Mid Level

Full-stack Engineer

• FullStack Development: Take an active, hands-on role in developing complex features and modules using Next.js for the frontend and NodeJS for the backend.
• Quality Assurance: Enforce best practices in coding, testing, caching, and performance monitoring to ensure a robust and scalable application.
• Security: Design and implement comprehensive security measures at the application, infrastructure, and data levels.
• Analytics & Optimization: Collaborate closely with the product team to integrate analytics systems and conduct A/B tests to enhance the user experience.
• Innovation: Research and integrate emerging technologies, particularly AI-driven solutions, to improve the product and streamline development workflows.

Full-Stack Engineer

Attorney

• Build, ship and iterate on core product features using Next.js.
• Own product modules end-to-end, from implementation to production rollout and iteration.
• Implement responsive, accessible UIs using TypeScript, TailwindCSS, and established design systems.
• Work with backend services and APIs, integrating frontend logic with scalable systems.
• Participate actively in code reviews, ensuring high standards for readability, performance and reliability.
• Debug, optimize, and improve production systems in a high-traffic environment.
• Work closely with Product and Growth to support experimentation and rapid MVP cycles.

Full-Stack Engineer – LegalTech

Full-Stack Engineer, LegalTech

Backend Engineer

• Own and operate AWS Aurora (PostgreSQL) in a high-load production environment
• Design and evolve schemas for large transactional domains (payments, customers, subscriptions, events)
• Implement and maintain:
• - Table partitioning strategies (time-based, tenant-based, hybrid)
• - Advanced indexing (B-Tree, GIN, partial indexes)
• - Query optimization and execution-plan tuning
• Handle databases with millions of new records per month while maintaining predictable performance
• Analyze and optimize slow queries and production metrics
• Identify and resolve:
• - Lock contention
• - Vacuum / autovacuum issues
• - Connection pool saturation
• - Long-running or inefficient queries
• Proactively prevent performance regressions as data volume grows
• Design high-performance search solutions for large operational datasets used in internal CRM tools
• Implement efficient search strategies
• Balance flexibility, correctness, and performance at scale
• Work with event and log data pipelines, including Tinybird / ClickHouse-based analytics
• Decide which data belongs in transactional databases vs analytical stores
• Enable fast, real-time insights for product, finance, and operations teams
• Ensure data integrity and consistency in financial workflows
• Define and monitor database health metrics (latency, replication lag, storage, IOPS)
• Plan and execute safe schema changes and migrations on large tables
• Participate in incident analysis related to data performance or availability
• Work in backups, replication, and disaster-recovery strategies

Senior Database Engineer

• Own and operate AWS Aurora (PostgreSQL) in a high-load production environment
• Design and evolve schemas for large transactional domains (payments, customers, subscriptions, events)
• Implement and maintain:
• - Table partitioning strategies (time-based, tenant-based, hybrid)
• - Advanced indexing (B-Tree, GIN, partial indexes)
• - Query optimization and execution-plan tuning
• Handle databases with millions of new records per month while maintaining predictable performance
• Analyze and optimize slow queries and production metrics
• Identify and resolve:
• - Lock contention
• - Vacuum / autovacuum issues
• - Connection pool saturation
• - Long-running or inefficient queries
• Proactively prevent performance regressions as data volume grows
• Design high-performance search solutions for large operational datasets used in internal CRM tools
• Work with event and log data pipelines, including Tinybird / ClickHouse-based analytics
• Ensure data integrity and consistency in financial workflows
• Define and monitor database health metrics (latency, replication lag, storage, IOPS)

• Own and operate AWS Aurora (PostgreSQL) in a high-load production environment
• Design and evolve schemas for large transactional domains (payments, customers, subscriptions, events)
• Implement and maintain:
• - Table partitioning strategies (time-based, tenant-based, hybrid)
• - Advanced indexing (B-Tree, GIN, partial indexes)
• - Query optimization and execution-plan tuning
• Analyze and optimize slow queries and production metrics
• Design high-performance search solutions for large operational datasets used in internal CRM tools
• Work with event and log data pipelines, including Tinybird / ClickHouse-based analytics
• Ensure data integrity and consistency in financial workflows
• Participate in incident analysis related to data performance or availability