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 OnMicroservices & 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 servicesStackRuby on Rails · Python · PostgreSQL · Elasticsearch · Redis · RabbitMQ · Kubernetes · AWS / GCP · APISIX · Grafana + LokiWhat We Are Looking ForStrong foundation in distributed systems. You understand failure modes before you write the first lineHands-on experience with event-driven architecture and message queues in productionDeep comfort with concurrency, backpressure, and fault toleranceTrack record debugging complex production issues — not just fixing them, preventing themExperience with Rails or Python backends at meaningful scaleYou improve systems you weren’t asked to touchThis Role is a Strong Fit If You…Read and understand an existing codebase by week oneSee a broken system and fix it before anyone asks you toHave strong opinions about architecture and can back them up with dataThink in systems: latency, throughput, failure modes, and cost at scaleTreat documentation, tests, and observability as non-negotiable defaults and not afterthoughtsShip fast and without breaking things. Speed and quality are not a trade-off for youConsistently exceed expectations where meeting the bar is a floor, not a targetAre hungry for hard challenges and actively seek problems at the edge of your limitsFeel a sense of urgency that doesn’t require external pressureHave rebuilt or stabilised something significant and can talk about it concretelyWhy LucidyaReal scale with billions of events and not just toy systemsDirect impact at CTO and executive levelPre-IPO with clear trajectory and your work has real impact on clients
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
Lucidya is one of the fastest growing SaaS startups in the world & the leading social media analytics tool geared towards Arabic language. By leveraging AI, Machine Learning & big data technologies, we are on a mission of helping businesses in MENA region to understand and better serve their customers using our Media & Customer Intelligence products.With an HQ in Riyadh and offices in different countries in the world, we are funded by the most reputable investors in the region and scaling rapidly to meet the increasing demand of our products.Come and join the startup that has been named by World Economic Forum as one the most promising startups in MENA region … be part of the history we are making.
Lucidya is one of the fastest growing SaaS startups in the world & the leading social media analytics tool geared towards Arabic language. By leveraging AI, Machine Learning & big data technologies, we are on a mission of helping businesses in MENA region to understand and better serve their customers using our Media & Customer Intelligence products.
With an HQ in Riyadh and offices in different countries in the world, we are funded by the most reputable investors in the region and scaling rapidly to meet the increasing demand of our products.
Come and join the startup that has been named by World Economic Forum as one the most promising startups in MENA region … be part of the history we are making.
