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Intelmatix

As Sudiyah / Global

Senior/lead software engineer - backend

  • ر.ع.‏33000 OMR Per annum
  • Remote

Job Summary

Salary Range:
ر.ع.‏33000 OMR Per annum
Work Settings:
Remote
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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, Graph QL, g RPC) 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, g RPC) 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 #J-18808-Ljbffr

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