Senior/Lead Software Engineer - Backend
Quick Summary
dynamic configuration, service discovery, and system orchestration • Build asynchronous processing pipelines, background jobs,
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,
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, GraphQL, 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 DevOps 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, GraphQL, gRPC) including designing and maintaining highly-available endpoints
• Hands-on experience with AWS — ECS, Lambda, SQS/SNS, RDS, DynamoDB, S3, API Gateway
• Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, MongoDB, 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, EventBridge)
• Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation)
• Experience with monitoring and observability tools (Prometheus, Grafana, DataDog, CloudWatch)
• 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
Location & Eligibility
Listing Details
- Posted
- February 4, 2026
- First seen
- May 21, 2026
- Last seen
- May 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 14%
- Scored at
- May 21, 2026
Signal breakdown
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