• Design, develop, and maintain backend services using Scala 2.12/2.13 • Build RESTful APIs and microservices using frameworks such as Play Framework or Akka HTTP • Implement data access layers using Slick or other Scala‑friendly persistence tools • Write clean, testable, and efficient code • Collaborate with product, DevOps, and data engineering teams to deliver high‑quality features • Participate in code reviews, architecture discussions, and technical design sessions • Optimize application performance, scalability, and reliability • Troubleshoot production issues and contribute to continuous improvement

Role Description We’re looking for a developer who prefers solving open problems over following strict specs, and who enjoys shipping meaningful work fast. Become part of OTGS and work with senior engineers, influencing architecture, and delivering systems that Support, Marketing, and VIP rely on. You’ll own high-level goals, shape them into real systems, and get them into production quickly. If you want ownership, deep engineering work, and the chance to build systems that move things forward, apply today, and we’d love to meet you. Qualifications - You are an experienced developer with strong Python skills. - Believe in writing tests and clean, reliable code. - Open to using AI in your daily work. Benefits - Trusted & Profitable: Since 2008, OTGS has grown into a self-funded and stable company supporting over 1.5 million websites worldwide. - Remote-first: Join a diverse team of smart and friendly people working from all corners of the world. - Creators of WPML: You’ll contribute to the #1 multilingual plugin for WordPress, used by hundreds of thousands of happy clients every day. - Real Impact: Your work will directly improve the experience of users around the globe. - Growth-friendly: We support your personal and professional development through mentorship, learning tools, and internal opportunities. - Wellbeing focused: We offer great benefits to help you thrive both in and out of work.

Role Description No iFood, alimentar o futuro do mundo significa usar tecnologia para criar conveniência, acesso e crescimento. Nosso time está na linha de frente dessa missão, orquestrando soluções inteligentes que potencializam campanhas de marketing offsite e conectam milhões de pessoas aos restaurantes que amam. - Desenvolver e implementar soluções para campanhas de marketing, orquestrando LLMs e agentes em um ambiente de backend em Python. - Experimentação rápida equilibrando qualidade e velocidade de entrega. - Colaborar com um time predominantemente sênior para entregar soluções robustas e escaláveis. - Participação ativa em discussões técnicas e debates com o time. Qualifications - Vivência em desenvolvimento backend: APIs, arquitetura de sistemas, boas práticas de engenharia, visão de produto e plataforma. - Experiência sólida com desenvolvimento backend em Python. - Arquitetura serverless com AWS (Step Functions, Lambda, S3, DynamoDB, etc.). - Habilidades com criação de Agents, determinação de fluxos e Agent Teams. - Trabalhar de forma independente e colaborativa, com foco em qualidade técnica. - Problem solving: Não importa o problema, você precisa ser obstinado por resolver! Requirements - Conhecimento em orquestração de LLMs e estruturação do prompts para agentes (Agno, LangChain, LlamaIndex ou similares). - Vivência com soluções de AI aplicadas em contextos de marketing, growth ou produtos. - Familiaridade com campanhas de marketing offsite (Google e Meta). Benefits - Se você curte trabalhar com tecnologias emergentes, resolve problemas de forma autônoma e acredita que colaboração faz diferença nos resultados, queremos te conhecer!

• Lead architectural design for the operational data platform. • Collaborate with partner teams on reference architectures and data models. • Establish data governance frameworks and security controls. • Lead evaluation of real-time data technologies. • Serve as architectural authority for design decisions. • Provide mentorship to Data Producer & Consumer teams. • Actively work on practical AI use cases within data platform innovations.