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1 dia atrás

Gravataí, Brasil Bebeesoftware Tempo inteiro

We are looking for a skilled software developer to join our team as a Senior Full Stack Software Engineer.This role involves working on the front-end and back-end of applications, designing and implementing APIs, services, and distributed systems.Key ResponsibilitiesFront-End Development: Build, implement, and maintain front-end applications using React.js.Back-End Architecture & Development: Design, implement, and maintain APIs, services, and distributed systems that form the backbone of our operating system.Ai Integration: Collaborate with Ai engineers to integrate models, embeddings, and agent services into back-end systems.Operate Ai APIs, ensuring outputs are production-ready and aligned with enterprise utility requirements.System Modernization: Transform legacy workflows into modern, secure, scalable codebases using cloud-native best practices.Security & Compliance: Partner with security leaders to ensure all services adhere to stringent utility-sector regulations, implementing secure coding practices by default.Agile Delivery: Deliver features and improvements in cycles measured in weeks, balancing speed with reliability.Candidates will work in small, agile teams reporting directly to the CTO, collaborating closely with Ai engineers, security leaders, and product managers.Together, you will build and deliver Ai-native services delivered at startup speed.The operating system is designed to harness Ai at the enterprise level to better orchestrate customer delight, facilitate power optimization, improve the health of the grid, and unlock flexibility at scale.Funded by a strategic industry partner and one of the founders at Groupon, we are poised to transform how utilities run and how customers experience energy.To be successful in this role, candidates should possess excellent English communication skills, 5+ years of software engineering experience in SaaS or enterprise environments, strong proficiency in React, Python, and either Golang, Node.js, or Java, and demonstrated ability to deliver high-quality code in fast-moving teams.Additionally, candidates should have basic proficiency with Ai/ML tooling, solid understanding of databases (SQL and NoSQL), message queues, and distributed architectures, cloud-native engineering experience (AWS, Azure, GCP), clear communicator, adaptable, eager to learn and grow Ai capabilities over time, strong sense of ownership and accountability in small teams, and university degree or relevant industry experience.

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