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Senior​/Lead Software Engineer - Backend

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Intelmatix
Full Time position
Listed on 2026-04-01
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Position Type: Full-time

Locations: Riyadh (Onsite) / Egypt (Remote)

Job Summary

We are seeking a Senior Backend Software Engineer to join our Backend team. You will own the design, development, and operation of backend systems that power our Decision Intelligence platform — from core microservices and API layers through to data architecture and event-driven pipelines. This is a high-impact role where you take full ownership of what you ship.

Backend System Development
  • Design, develop, and maintain modular backend components
  • Build both synchronous and event-driven services
  • Implement core infrastructure: dynamic configuration, service discovery, and system orchestration
  • Build asynchronous processing pipelines, background jobs, and event-driven workflows
API Development & Management
  • Design and maintain highly-available API endpoints (RESTful, Graph

    QL, gRPC)
  • Ensure API reliability, versioning, and documentation standards across services
  • Implement rate limiting, caching strategies, and API gateway patterns
Database & Data Architecture
  • Design and implement database schemas and data models (relational, document, or hybrid)
  • Optimize queries, manage migrations, and ensure data integrity across services
  • Work with data engineers on ingestion, transformation, and serving layers
Infrastructure & Deployment
  • Work with containerized deployments (Docker, ECS, EKS) and AWS cloud infrastructure
  • Implement monitoring, logging, and alerting for backend services
Collaboration, Code Quality & Security
  • Work closely with frontend, data, platform, and Dev Ops teams to deliver integrated solutions
  • Contribute to architectural discussions and technical decision-making
  • Mentor mid-level and junior engineers on backend engineering best practices
  • Write high-quality, well-tested production code with comprehensive unit and integration tests
  • Enforce security best practices: authentication, authorization, encryption, input validation
  • Conduct and participate in code reviews to maintain code quality
Qualifications

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Experience: Minimum of 5 years in software engineering, with strong backend development expertise and a track record of building production systems.

Technical Skills
  • Strong proficiency in Java/Kotlin with hands-on experience in Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security, Spring Cloud)
  • Solid understanding of system design: microservices, event-driven architecture, API design patterns, and data modeling
  • Strong API development experience (RESTful, Graph

    QL, gRPC) including designing and maintaining highly-available endpoints
  • Hands-on experience with AWS — ECS, Lambda, SQS/SNS, RDS, Dynamo

    DB, S3, API Gateway
  • Experience with relational and No

    SQL databases (Postgre

    SQL, Dynamo

    DB, Mongo

    DB, Redis, AWS Aurora)
  • Practical experience with Docker, Kubernetes (EKS), and container-based deployments
  • Familiarity with modern authentication schemes such as OAuth, JWTs, or cookies
  • Strong testing practices: unit tests, integration tests, and familiarity with testing frameworks
  • Strong understanding of database schema design, query optimization, and data modeling
  • Excellent communication and leadership skills, adaptable, self-motivated, and capable of thriving in a fast-paced, unstructured startup environment
  • Strong ownership mentality — you ship it, you run it, you own it
Nice to Have
  • Experience with building scalable, high-reliability, or data-intensive backend systems
  • Experience with event-driven architectures and message brokers (Kafka, SQS/SNS, Event Bridge)
  • Exposure to Infrastructure-as-Code tools (Terraform, Cloud Formation)
  • Experience with monitoring and observability tools (Prometheus, Grafana, Data Dog, Cloud Watch)
  • Experience with AI/ML-adjacent systems — building backends that serve or integrate machine learning models and data pipelines
  • Familiarity with multi-tenant architecture patterns
  • Experience working in fast-paced startup environments, contributing to rapid development and delivery-driven projects
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Position Requirements
10+ Years work experience
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