Software Engineer 10x

Overview

• Lucidya is a leading AI-powered Customer Experience Management (CXM) platform in the MENA region, enabling enterprises to understand, engage, and serve customers across digital channels at scale.
• As we move toward IPO-scale, we are rebuilding parts of our platform to achieve:
• Extreme reliability (SLO-driven engineering)
• High-scale distributed processing (billions of data points)
• AI-native architecture (LLM + real-time intelligence)
• What You Will Work On Microservices & Distributed Architecture
• Design and operate high-throughput, event-driven pipelines across a 100+ microservice ecosystem handling billions of data points
• Build and scale distributed messaging systems with RabbitMQ, backpressure management, consumer scaling, and queue health
• Develop and maintain API gateway layers with advanced routing (multi-upstream, traffic splitting, environment isolation)
• Architect SSO and identity federation for enterprise clients, supporting multi-IdP routing with zero coupling to core services
• Define clean service boundaries across ingestion, processing, and delivery pipelines spanning Ruby and Python

Performance & Systems

• Diagnose and resolve complex production issues (e.g., deadlocks, queue exhaustion, connection pool saturation) and eliminate root causes
• Optimize PostgreSQL for heavy write workloads, contention management, schema design, triggers, and connection scaling
• Design and tune Elasticsearch for search, indexing, and real-time Arabic relevance at scale
• Make informed trade-offs between multi-process and async architectures based on workload characteristics

Observability & Reliability

• Build and maintain observability across a large-scale system using Grafana, Loki, distributed tracing, and SLOs
• Own production incidents end-to-end, tracing failures across queues, search systems, and external integrations
• Lead root cause analysis and implement preventative measures across multi-service pipelines
• Build internal tooling that improves engineering velocity, automation, deployment gating, and review enforcement
• Turn architectural principles into enforceable standards and guardrails, not just documentation

Platform Evolution

• Drive platform decoupling and service isolation across the system
• Contribute to Kubernetes migration and infrastructure modernization
• Standardize and improve CI/CD pipelines across services

Stack