
10,000+ employees
Founded 1996
đĄď¸ Insurance
đŚ Logistics
đŁ Marketing
Insurance ⢠Logistics ⢠Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
đĽ 0 minutes ago
đŁď¸đ§đˇđľđš Portuguese Required
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10,000+ employees
Founded 1996
đĄď¸ Insurance
đŚ Logistics
đŁ Marketing
Insurance ⢠Logistics ⢠Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
⢠Produce software in an AI-native way, directing agents and LLMs from specifications and taking technical ownership of the outcome ⢠Specify, orchestrate, review and take responsibility for the code produced ⢠Drive the Spec-Driven Development cycle, turning requirements into executable specifications and contextual artifacts ⢠Calibrate AI autonomy according to the risk and maturity of the context ⢠Participate in the Augmented Pull Request process, reviewing syntax, intent, acceptance criteria, technical decisions and functional impact ⢠Develop skills, patterns, architectural decisions, connectors and MCPs to make agents consistent and reliable ⢠Apply sound architecture and engineering practices to monolithic and/or distributed systems ⢠Deliver clean, testable and maintainable code, focused on business value ⢠Contribute automated tests and observability for the quality and cost of AI outputs ⢠Reduce rework and technical debt ⢠Work in collaborative, value-driven teams using agile methodologies, code review, pair programming and mob programming ⢠Share learnings and receive mentorship from more experienced colleagues
⢠Minimum 3 years of software development experience ⢠Strong proficiency in at least one of the stacks (.NET or React) ⢠Proven ability to work across other stacks with AI assistance ⢠Competence in Spec-Driven Development, including writing unambiguous specifications, verifiable plans and acceptance criteria ⢠Experience in LLM Context Engineering ⢠Responsible use of generative and agentive AI tools in development ⢠Ability to evaluate, validate and correct code generated by AI or third parties ⢠Strong object-oriented design skills and/or sound design principles ⢠Practical experience with unit and/or integration testing ⢠Use of Git and collaboration via Pull Requests ⢠Experience with SQL databases and fundamentals of data modeling ⢠Practical experience with Scrum, Kanban or XP ⢠Clarity in writing and specification ⢠Critical thinking and technical skepticism ⢠Comfort with ambiguity and delegation ⢠Autonomy and accountability ⢠Clear communication about requirements, technical decisions and trade-offs ⢠Collaboration, respect for the team and adaptability ⢠Genuine interest in the success of the product and the team ⢠Pluses: agent orchestration and MCPs/connectors; AI metrics and observability; distributed architectures, microservices or messaging; CI/CD; Docker or Kubernetes; Python
⢠Discounts and partnerships with leading universities and tech learning platforms in Brazil ⢠Special conditions on language learning platforms ⢠Remote work ⢠Challenging projects alongside specialists ⢠Work with AI, Cloud, Machine Learning and Industry 4.0 ⢠Connection with emerging teams and technologies within a global company ⢠Strategic partnerships with Microsoft, Oracle, AWS and SAP
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