10x Software Engineer

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

Make informed trade-offs between multi-process and async architectures based on workload characteristics

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

Drive platform decoupling and service isolation across the system

Contribute to Kubernetes migration and infrastructure modernization

Standardize and improve CI/CD pipelines across services

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

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

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

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