Software Architect - Python (Onsite, Islamabad, PKR Salary)

Job description

Requirements 8–10 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. #J-18808-Ljbffr