• Create detailed architecture blueprints and technical roadmaps aligned with business objectives. • Establish architectural standards and best practices for Python/Django-based systems. • Design scalable distributed systems leveraging Celery, Redis, and PostgreSQL. • Evaluate trade-offs between scalability, cost, performance, and maintainability. • Define long-term technical direction and system evolution strategy. • Architect and optimize Azure cloud environments (IAM, RBAC, networking, compute, storage, monitoring, and security). • Design solutions using Azure Container Apps and Azure Container Registry. • Define best practices for resource organization, permissions management, and cost optimization. • Ensure high availability, resilience, and secure cloud configurations. • Guide Infrastructure-as-Code practices (experience with Bicep is a plus). • Drive adoption and optimization of Azure DevOps (mandatory). • Define and improve CI/CD pipelines and deployment strategies. • Promote automation and operational excellence. • Improve observability through monitoring and logging strategies. • Contribute directly to backend architecture and critical implementations in Python/Django. • Support and review distributed task systems using Celery. • Optimize Redis caching strategies. • Improve PostgreSQL schema design, indexing, and performance tuning. • Participate in complex debugging and production issue resolution when necessary. • Evaluate and support integration of AI capabilities into backend systems. • Familiarity with tools such as Azure AI Foundry, Llama models, LangChain, CrewAI, and OpenAI SDK. • Understand architectural implications of AI-enabled systems. • Identify capability gaps within the engineering team. • Mentor and guide engineers to elevate technical maturity. • Promote engineering best practices and continuous improvement. • Influence technical decisions without formal authority.