Description
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).