10x Software Engineer

Lucidya

Riyadh

On-site

SAR 224,971 - 299,962

Full time

14 days+

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Job summary

A leading AI-powered Customer Experience platform in Saudi Arabia is seeking an experienced engineer to work on distributed systems, build high-throughput pipelines, and diagnose complex production issues. You will have the chance to drive platform evolution and innovate at scale. Candidates should demonstrate strong experience with distributed systems, event-driven architecture, and a proactive approach to fixing issues. The role offers the chance to make an impactful contribution in a pre-IPO setting.

Qualifications

  • Strong foundation in distributed systems and understanding of failure modes.
  • Hands-on experience with event-driven architecture and message queues in production.
  • Deep comfort with concurrency, backpressure, and fault tolerance.

Responsibilities

  • Design and operate high-throughput, event-driven pipelines.
  • Diagnose and resolve complex production issues.
  • Build and maintain observability across a large-scale system.
  • Drive platform decoupling and service isolation.

Skills

Distributed systems
Event-driven architecture
Concurrency
Backpressure management
Fault tolerance
Debugging complex issues
Rails or Python experience

Tools

Ruby on Rails
Python
PostgreSQL
Elasticsearch
Redis
RabbitMQ
Kubernetes
AWS
GCP
Grafana
Loki

Job description

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)

We don’t optimize for titles, we optimize for impact! Whether you are junior or senior doesn’t matter and what matters is your ability to move faster and think deeper than the average engineer. We operate with extreme ownership. Problems don’t belong to teams or tickets where they belong to whoever sees them. The right person for this role doesn’t walk past a broken system. If something is failing, you fix it even if it’s not “your job.”

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

Ruby on Rails · Python · PostgreSQL · Elasticsearch · Redis · RabbitMQ · Kubernetes · AWS / GCP · APISIX · Grafana + Loki

What We Are Looking For
  • Strong foundation in distributed systems. You understand failure modes before you write the first line
  • Hands‑on experience with event‑driven architecture and message queues in production
  • Deep comfort with concurrency, backpressure, and fault tolerance
  • Track record debugging complex production issues — not just fixing them, preventing them
  • Experience with Rails or Python backends at meaningful scale
  • You improve systems you weren’t asked to touch
This Role is a Strong Fit If You…
  • Read and understand an existing codebase by week one
  • See a broken system and fix it before anyone asks you to
  • Have strong opinions about architecture and can back them up with data
  • Think in systems: latency, throughput, failure modes, and cost at scale
  • Treat documentation, tests, and observability as non‑negotiable defaults and not afterthoughts
  • Ship fast and without breaking things. Speed and quality are not a trade‑off for you
  • Consistently exceed expectations where meeting the bar is a floor, not a target
  • Are hungry for hard challenges and actively seek problems at the edge of your limits
  • Feel a sense of urgency that doesn’t require external pressure
  • Have rebuilt or stabilised something significant and can talk about it concretely
Why Lucidya
  • Real scale with billions of events and not just toy systems
  • Direct impact at CTO and executive level
  • Pre‑IPO with clear trajectory and your work has real impact on clients
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