Senior/Lead Software Engineer - Backend

Intelmatix; As Sudiyah; Hybrid; OMR 26,915 - 34,605; Full time

Job summary

Intelmatix is looking for a Senior Backend Software Engineer who will own the design and development of our backend systems. You will work on developing high-impact solutions for our Decision Intelligence platform.

The ideal candidate should have a strong background in Java/Kotlin with extensive experience in Spring Boot and AWS services. Join us to help build next-generation solutions in a dynamic environment.

Qualifications

• Minimum 5 years experience in software engineering with backend development expertise.
• Strong proficiency in Java/Kotlin and hands-on experience with Spring Boot.
• Experience with AWS and container-based deployments is required.

Responsibilities

• Design and maintain modular backend components and services.
• Ensure API reliability and implement monitoring for backend services.
• Work closely with cross-functional teams to deliver integrated solutions.

Skills

Java/Kotlin

Spring Boot

Microservices

API development

AWS services

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

PostgreSQL

Job description

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