Job Summary: A technical reference professional in leading the design and implementation of system architectures and AI solutions, ensuring scalability, security, and high availability. Key Highlights: 1. Technical leadership in system architectures and AI solutions 2. Work in multi-cloud environments with a focus on IaaS and CI/CD 3. Development in Python and Java with AI platforms **Senior Software Engineer - 26075** Serve as a technical reference in leading the design and implementation of system architectures and Artificial Intelligence solutions, ensuring scalability, security, and high availability. The professional will be responsible for structuring multi-cloud environments, implementing software engineering best practices, and ensuring operational efficiency through CI/CD, SRE, and observability. They will play a strategic role in supporting technical decisions and defining architectural standards. **Responsibilities:** – Lead the design of system architectures and AI solutions, focusing on scalability, security, and high availability. – Develop and operate solutions on AI platforms (e.g., Vertex AI) and advanced automations using n8n. – Define and maintain CI/CD pipelines for applications and AI models. – Work in multi-cloud environments (GCP and AWS), with heavy use of IaaS. – Apply advanced software engineering, SRE, and observability practices. – Serve as a technical reference, defining standards, best practices, and supporting strategic decisions. **Requirements:** – Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related fields. – Solid experience in system development and software architecture. – Strong proficiency in Python and Java. – Proven experience with Infrastructure as a Service (IaaS). – Practical experience with GCP and AWS. – Experience with AI platforms (e.g., Vertex AI) and workflow automation tools (e.g., n8n). – Experience in CI/CD, distributed systems, and APIs. – Knowledge of software engineering best practices, SRE, and observability. – Analytical mindset with strong ability to solve complex problems. – Technical leadership skills and strategic decision-making ability. – Strong communication skills, ability to work collaboratively, and influence both technical and business stakeholders. – Proactivity, sense of responsibility, and organizational skills. **Preferred Qualifications:** – Prior or hybrid experience as a Software Engineer, SRE, and/or Solutions Architect. – Experience with MLOps, cloud-native architectures, and microservices. – Hands-on experience with advanced observability and monitoring tools. – Experience in large-scale, highly complex corporate environments. – Cloud certifications (AWS, GCP) or Solutions Architecture certifications. – Experience in technical leadership of cross-functional teams. **Important Information:** Work Location: Butantã/SP. Work Model: Hybrid (4 days onsite, 1 day remote). Working Hours: 9:00 AM – 6:00 PM. Employment Type: Contract (PJ).