Backend Architect - Ontology + Python + AI/ML - Afternoon Job at 10Pearls (Islamabad)

Job Description

We are seeking a Backend Architect to lead the design and evolution of a next-generation AI-native platform (AIX), with a primary focus on the Ontology Layer (L3)—the semantic core of the system. This role requires strong architectural ownership and hands-on expertise in building scalable, secure, and multi-tenant backend systems. The ideal candidate will define data models, API contracts, and cross-layer communication patterns while collaborating closely with product, architecture, and engineering teams in an onsite environment in Islamabad.

Job Responsibility

Ontology backend architecture — design the multi-tenant PostgreSQL schema (object_types, link_types, object_properties, tool_catalog, action_proposals, audit_events) including Row-Level Security and indexing strategy
GraphQL API surface — architect the Strawberry-GraphQL API for reads, mutations and subscriptions, and define resolver patterns for tenant isolation and authorisation
Action Registry & governance — own the propose → simulate → approve → execute state machine, blast-radius classification, dual-approval workflow, and SHA-256 binding hash for approval proofs
Cross-layer contracts — define the contracts between L2 (data plane), L3 (ontology), L4 (agent runtime) and L5 (governance) — Kafka topic schemas, MCP Truth API, event formats
Code ownership — write the reference implementation for at least one core module per quarter
review backend PRs
set coding, testing and observability standards
Mentorship — technically lead a squad of 3–5 backend engineers, pair-program with juniors, run design reviews and architecture decision record (ADR) sessions
Performance & reliability — set and defend SLOs for L3 services, drive load-testing and capacity planning

Requirements

5–8 years building production backend systems in Python (FastAPI, SQLAlchemy, AsyncIO) or equivalent
Deep hands-on PostgreSQL: schema design, query optimisation, RLS, pgvector, migrations
Strong API design skills — GraphQL (Strawberry, Apollo, Hasura) or REST at scale
Experience with event-driven architectures using Kafka or equivalent (topic design, exactly-once semantics, consumer groups)
Proven experience owning architecture for a multi-tenant SaaS or platform product
Strong grasp of distributed-system fundamentals: consistency, idempotency, observability, failure modes
Kubernetes-native development: containers, health probes, config-as-code, secret management
Excellent written communication — ADRs, design docs, API specs

Nice to have

Prior work on policy-as-code (OPA / Rego) or ABAC authorisation frameworks
Experience with audit-chain / tamper-evident systems or regulated-industry compliance
Exposure to LLM-powered agent platforms or tool-use systems
Experience designing for air-gapped or on-premises deployment
Contribution to an open-source backend framework or data-platform project

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Backend Architect - Ontology + Python + AI/ML - Afternoon

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