Software Engineer

Lucidya | لوسيديا

10x Software Engineer at Lucidya developing AI-powered Customer Experience Management solutions. Building scalable systems for high-throughput data management in a remote environment.

Posted 4/15/2026full-timeRemote • 🇸🇦 Saudi ArabiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsElasticSearchGrafanaKubernetesPostgresPythonRabbitMQRubyRuby on Rails

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Lucidya | لوسيديا Website LinkedIn All Job Openings 51 - 200 employees 🤖 Artificial Intelligence 🤝 B2B ☁️ SaaS 💰 $6M Series B on 2022-01 Artificial Intelligence
B2B
SaaS Lucidya is a company specializing in social media and online platform analytics. They provide tools and insights that help businesses understand customer sentiment, track brand reputation, and make data-driven decisions. Lucidya's solutions are tailored for engaging with the Arabic-speaking market, leveraging AI technology to process and analyze data for optimal marketing strategies. Software Engineer 🔥 34 minutes ago 🇸🇦 Saudi Arabia – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer Distributed Systems ElasticSearch Grafana Kubernetes Postgres Python RabbitMQ Ruby Ruby on Rails Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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
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
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
Drive platform decoupling and service isolation across the system
Contribute to Kubernetes migration and infrastructure modernization
Standardize and improve CI/CD pipelines across services 🎯 Requirements
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
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Hard Skills & Tools

event-driven architecturemicroservicesRabbitMQAPI gatewayPostgreSQLElasticsearchKubernetesCI/CDRubyPython

Soft Skills

problem-solvingdebuggingroot cause analysispreventative measuresengineering velocityautomationleadershipcommunicationcollaborationadaptability