
501 - 1000 employees
đź Consulting
đŁ Marketing
đŚ Logistics
Consulting ⢠Marketing ⢠Logistics
Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.
đĽ 12 hours ago
đ Colombia, Costa Rica â Remote
â° Full Time
đ Senior
đ§âđť Full-stack Engineer
đť Ghost score 10%
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501 - 1000 employees
đź Consulting
đŁ Marketing
đŚ Logistics
Consulting ⢠Marketing ⢠Logistics
Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.
⢠Design, build, test, and ship full-stack product features using Ruby on Rails and React ⢠Extend and improve a large, established Rails monolith ⢠Build and refine React components and user-facing experiences for performance, usability, latency, and conversion ⢠Own features across backend, frontend, and data layers ⢠Build product capabilities using LLMs and online AI inference ⢠Develop AI-powered text generation experiences ⢠Design measurable product, funnel, and conversion metrics ⢠Instrument and support experiments to evaluate product changes ⢠Validate solutions through automated testing, traditional testing, AI evaluations, and tracing ⢠Apply engineering and system design principles to create observable, scalable, maintainable, production-ready solutions ⢠Use agentic and AI-assisted software engineering throughout the development lifecycle ⢠Collaborate with Product Managers, designers, and engineers ⢠Prototype and release MVPs to gather feedback and support iterative development ⢠Balance user experience, technical investment, and business objectives ⢠Participate in technical scoping and prioritization and communicate technical complexity to stakeholders
⢠Senior-level professional software engineering experience with strong full-stack development capabilities ⢠Substantial production experience with Ruby on Rails in large, established monolithic applications ⢠Experience navigating mature Rails codebases, including legacy patterns, broad test suites, and careful database migrations ⢠Strong, current experience building production applications with React ⢠Experience with React component composition, state management, and frontend architecture ⢠Ability to own features end-to-end across backend, frontend, and data layers ⢠Strong product mindset focused on user experience and business outcomes ⢠Experience with measurable funnel, conversion, engagement, or similar product metrics ⢠Experience with experimentation and objective evaluation of results ⢠Strong software quality practices, including automated testing, observability, monitoring, and tracing ⢠Experience with modern CI/CD and container-based deployment environments ⢠Effective use of AI coding agents and AI-assisted development tools ⢠Strong understanding of software architecture and system design principles for scalable production applications ⢠Strong written and verbal English communication skills ⢠Ability to collaborate directly with US-based clients and distributed teams operating in US Central Time ⢠Nice to have: experience integrating Anthropic Claude, OpenAI models, or open-weight models ⢠Nice to have: experience with online AI inference or text generation ⢠Nice to have: prompt design, streaming responses, latency management, fallback strategies, and AI output guardrails ⢠Nice to have: AI evals and tracing ⢠Nice to have: A/B testing, experimentation platforms, or feature-flag frameworks ⢠Nice to have: Docker, Kubernetes, and Argo CD ⢠Nice to have: AWS ⢠Nice to have: high-traffic consumer, marketplace, or SaaS products ⢠Nice to have: conversion-sensitive user journeys
⢠Remote work ⢠Full-time employment ⢠Opportunity to work with a US-based client and distributed teams ⢠Opportunity to build product capabilities powered by LLMs and online AI inference ⢠Work with modern AI development techniques and AI-assisted software engineering tools
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