Software Architect Python

Requirements:

• 810 years of experience in building production-grade backend systems with clear ownership of system architecture.
• Strong proficiency in Python (FastAPI SQLAlchemy AsyncIO) or similar backend technologies.
• Deep expertise in PostgreSQL including schema design query optimization migrations and row-level security.
• Working knowledge of how LLMs and AI agents interact with backend systems including constraints feedback loops and data governance.
• Strong experience in designing APIs at scale using GraphQL or REST.
• Hands-on experience with event-driven architectures using Kafka or comparable tools.
• Proven track record in designing multi-tenant systems or platform-level architectures.
• Strong understanding of distributed systems concepts such as consistency fault tolerance and observability.
• Experience working with Kubernetes and containerized systems.
• Strong written and verbal communication skills including experience with design documents and architecture decision records.
• Experience with policy-as-code frameworks (OPA Rego ABAC) audit logging or tamper-evident systems and contributions to open-source backend or data platforms.
• Exposure to AI/LLM systems or agent-based platforms and their integration patterns.
• Experience with air-gapped or on-premise deployments in restricted environments.

Responsibilities:

• Design and own backend architecture with focus on scalability reliability fault tolerance and multi-tenant design.
• Build and implement the ontology layer including PostgreSQL schema design (object types relationships properties governance and policy entities) with proper indexing and row-level security.
• Define and maintain API contracts using GraphQL or REST ensuring secure tenant isolation version control and efficient data access.
• Design and manage event-driven communication across systems using Kafka or similar technologies.
• Develop and manage action workflows (e.g. propose simulate approve execute) with strong auditability rollback support and control mechanisms.
• Create reference implementations review code and define engineering standards for performance testing observability and reliability.
• Lead and mentor backend engineers conduct design reviews and guide architectural decisions.
• Define service-level objectives (SLOs) perform load testing and ensure system availability and resilience.
• Design and manage cloud-native deployment architectures including networking storage scalability and cost optimization across cloud hybrid and on-prem environments.
• Work closely with AI/ML teams to define safe and controlled interaction patterns between the ontology layer agents and LLM-based components.