PYTHON ARCHITECT

Description

Job Summary: Coordination and supervision of technical deliverables, identification of AI opportunities, support in defining AI systems, and market analysis. Key Highlights: 1. Communication with other teams and expectation management. 2. Definition and implementation of data processes and analytics strategies. 3. Preparation of documentation for analysis, design, and project construction. **Job Requirements** **What Will You Do Daily?** * Communicate with other teams for expectation management, requirement gathering, and results presentation. * Coordinate and supervise all technical deliverables and tasks required within the service scope, as well as * Coordinate with other system owners across the ecosystem where the platform will be deployed. * Identify ways to leverage information through artificial intelligence. * Support the definition and analysis of information systems related to artificial intelligence. * Define and implement processes related to data extraction, transformation, and loading (ETL). * Analyze the market for platforms and related systems, adapt solutions to client needs, and define architectures and systems—whether on-premise, cloud-based, or hybrid infrastructures. * Ingest data from all types of sources, methods, and structures. * Develop data analytics strategies. * Prepare documentation for analysis, design, and construction (e.g., user manuals, test plans, requirements traceability) for projects under this service, including logical and physical data models. * Monitor adherence to methodological and security standards, ensuring compliance with software application security standards. * Support teams in resolving vulnerabilities. **What Do We Offer?** At Quest Global, we believe in equal opportunity and are committed to maintaining an inclusive and safe workplace, guaranteeing equal opportunity in recruitment, training, and development—free from discrimination based on ethnicity, age, nationality, religion, sexual orientation, gender identity or expression, or any other personal, physical, or social circumstance. At Quest Global, you will have: * Remote work policy and work-life balance programs. Flexible working hours and options for hybrid or remote work, depending on the role’s requirements. * 23 working days of vacation per year; December 24 and 31 are non-working days. * One birthday leave day, to be taken anytime during your birth month. * Flexible compensation plan: private health insurance, meal vouchers, transportation vouchers, childcare vouchers, etc. * Personalized training plan and access to our learning platform with over 7\.000 courses. * Corporate Social Responsibility Committee, engaging in various initiatives supporting disadvantaged groups, children, and diversity. * Team activities: sports, team-building, emotional intelligence workshops, annual Quest Global Fest. Would you like to unlock your full potential with this outstanding team? Apply today and be the change you wish to see in the world! **Work Experience** **Minimum and Mandatory Requirements** * Experience in IT projects. Minimum required: 7 years * Minimum specific experience of 5 years in IT projects performing technology consulting roles focused on system architecture based on artificial intelligence and Kubernetes. Minimum required: 5 years * At least 5 years of experience designing microservice-oriented architectures and implementing service orchestrators using Python libraries. Minimum required: 5 years * At least 3 years of experience administering and maintaining Kubernetes clusters (kubectl, Helm, kustomize under the service mesh paradigm) and associated infrastructure, including observability infrastructure with IAM, Grafana, and Prometheus. Minimum required: 3 years * At least 3 years of experience administering streaming infrastructure on Kafka (topics, partitions, Schema Registry). Minimum required: 3 years * At least 3 years of experience administering MLOps infrastructure with MLflow, feature stores, and deployment on platforms such as Seldon Core, KServe, or BentoML. Minimum required: 3 years **Desirable/Additional Requirements** * Experience designing microservice-oriented architectures and implementing service orchestrators using Python libraries. Desirable: 7 years * Experience administering and maintaining Kubernetes clusters (kubectl, Helm, kustomize under the service mesh paradigm) and associated infrastructure, including observability infrastructure with IAM, Grafana, and Prometheus. Desirable: 5 years * Experience administering streaming infrastructure on Kafka (topics, partitions, Schema Registry). Desirable: 5 years * Experience administering MLOps infrastructure with MLflow, feature stores, and deployment on platforms such as Seldon Core, KServe, or BentoML. Desirable: 5 years * Experience administering and querying vector databases. Only experience between one year and the maximum evaluable threshold will be assessed. Desirable: 3 years * Experience administering data platforms with lake, lakehouse, and warehouse architectures. Only experience between one year and the maximum evaluable threshold will be assessed. Desirable: 5 years