Lead Software Architect

Há 10 horas

Itabirito, Brasil Bebeesoftware Tempo inteiro

We are looking for a highly skilled Senior Full Stack Software Engineer to join our team as we embark on an exciting journey to modernize our legacy workflows.Job DescriptionThe ideal candidate will have a strong background in React.js and experience with either Golang, Node.js, or Java, with a strong desire to adopt Golang as the primary back-end technology.Key Responsibilities:Front-End Development: Design, implement, and maintain front-end applications that meet the highest standards of quality and usability.Back-End Architecture & Development: Collaborate with cross-functional teams to design, implement, and maintain APIs, services, and distributed systems that form the backbone of our client's OS.Ai Integration: Partner with AI engineers to integrate models, embeddings, and agent services into back-end systems, ensuring seamless integration and alignment with enterprise utility requirements.System Modernization: Transform legacy workflows into modern, secure, scalable codebases using cloud-native best practices and leading-edge technologies.Security & Compliance: Work closely 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 and meeting business objectives.RequirementsExcellent English communication skills and a strong ability to collaborate with cross-functional teams.5+ years of software engineering experience in SaaS or enterprise environments, with a strong focus on full-stack development.Strong proficiency in React, Python, and either Golang, Node.js, or Java (non-Golang developers will learn and adopt Golang on the job).Demonstrated ability to deliver high-quality code in fast-moving teams and a solid understanding of databases (SQL and NoSQL), message queues, and distributed architectures.BASIC PROFICIENCY WITH AI/ML TOOLING (e.g., calling APIs, integrating model outputs) and cloud-native engineering experience (AWS, Azure, GCP).CLEAR COMMUNICATOR, ADAPTABLE, EAGER TO LEARN AND GROW AI CAPABILITIES OVER TIME and STRONG SENSE OF OWNERSHIP AND ACCOUNTABILITY IN SMALL TEAMS.Desired QualificationsUniversity degree or relevant industry experience and experience working on ERP systems or within the power utilities industry.

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