Backend Developer (ASP.NET Core, C#, AWS) - Remote (Egypt/Morocco Preferred)

gramian consulting • Morocco
Remote
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AI Summary

Seeking a Backend Developer to design, develop, and optimize server-side logic and APIs for advanced industrial inspection software. Responsibilities include database management, API integration, CI/CD automation, and cross-functional collaboration. Requires strong ASP.NET Core, C#/.NET, and AWS experience.

Key Highlights
Develop and maintain backend logic and databases for web applications.
Design and integrate scalable APIs for data ingestion and processing.
Contribute to CI/CD automation and deployment pipelines on AWS.
Key Responsibilities
Develop and maintain backend logic and databases for web applications
Design and integrate scalable APIs for data ingestion and processing
Contribute to CI/CD automation and deployment pipelines (AWS ECS, Lambda, S3)
Write clean, testable, and well-documented code
Participate in architecture design, code reviews, and product decisions
Collaborate with cross-functional teams (frontend, cloud, robotics, AI)
Technical Skills Required
ASP.NET Core Entity Framework Core C# .NET Python AWS ECS AWS Lambda AWS S3 CI/CD Docker GitHub
Benefits & Perks
100% remote
Nice to Have
Experience in video processing, 3D modeling, geospatial data, or photogrammetry
Experience with ABP or microservices templates
Exposure to machine learning libraries or data pipelines

Job Description


About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About The Client

Our client is a Swiss-based deep-tech company revolutionizing how industrial inspections are performed—making them safer, smarter, and more efficient.

Their cutting-edge drone and SaaS ecosystem allow operators to conduct visual inspections in confined and hazardous environments without putting human lives at risk. With breakthrough engineering, their solution achieves twice the flight time of competitors and delivers high-fidelity inspection data across industries like energy, maritime, oil & gas, and infrastructure.

Join a fast-growing team that blends robotics, computer vision, and cloud technologies to redefine what's possible in industrial automation.

Role Overview

We're looking for a Backend Developer to join the growing engineering team. You'll help design, develop, and optimize the server-side logic and APIs powering next-generation inspection software that integrates 3D modeling, video processing, and AI-based defect detection.

You'll collaborate closely with frontend, data, and robotics engineers to ensure smooth system integration, scalability, and reliability.

Locations: The role is 100% remote, but the candidate location that is preferred is Egypt or Morocco.

Responsibilities

  • Develop and maintain backend logic and databases for web applications
  • Design and integrate scalable APIs for data ingestion and processing
  • Contribute to CI/CD automation and deployment pipelines (AWS ECS, Lambda, S3)
  • Write clean, testable, and well-documented code
  • Participate in architecture design, code reviews, and product decisions
  • Collaborate with cross-functional teams (frontend, cloud, robotics, AI)

Interview process:

The interview process includes three stages: an HR interview, a technical interview, and a final meeting with the Head of Practice.

Requirements

  • Strong knowledge of ASP.NET Core, Entity Framework Core, and C#/.NET (7+ years of experience)
  • Experience with Python for backend or data-oriented tasks
  • Hands-on experience with AWS (ECS, Lambda, S3)
  • Solid understanding of CI/CD pipelines, Docker, GitHub, and automation workflows
  • Familiarity with development tools such as Visual Studio Code and Docker
  • Strong problem-solving mindset and collaborative attitude
  • Fluent in English

Nice to Have:

  • Experience in video processing, 3D modeling, geospatial data, or photogrammetry
  • Experience with ABP or microservices templates
  • Exposure to machine learning libraries or data pipelines

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