software engineer - model based development, power

ai engineer, light

estimation engineer

junior system design engineer, light Jobs in Cairo

junior system design engineer, light

software engineer - model based development, power Jobs in Cairo

software engineer, power

system design engineer model simulation light

Valeo

<div>
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry: Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Knowledge About The Following Tools Is a Must
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 Knowledge About The Following Tools/Concepts Is a Plus
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses: Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests: MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 </li>
 </ul>
</div>

System Design Engineer - Model & simulation, LIGHT

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry~ Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 
 Knowledge about the following tools is a must~
 
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 
 Knowledge about the following tools/Concepts is a plus~
 
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses~ Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests~ MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deliverables
 </li>
 <ul>
 <li>
 System architecture and justification
 </li>
 <li>
 Definition of the system and sub-systems
 </li>
 <li>
 Requirement specification of system and sub-systems
 </li>
 <li>
 Answer to Request for Quotation
 </li>
 <li>
 System risks list (Track and monitor system risks and issues in the project)
 </li>
 <li>
 Traceability matrix with customer requirements
 </li>
 <li>
 Test coverage matrix
 </li>
 </ul>
 <li>
 scheduling and budgeting
 </li>
 <ul>
 <li>
 To manage system deliverables on time
 </li>
 <li>
 To establish, update and respect system budget
 </li>
 </ul>
 <li>
 Coordination
 </li>
 <ul>
 <li>
 Supports and/or represents the R&amp;D PTM in front of the customer.
 </li>
 <li>
 Guaranties the system consistency during the design and validation phase
 </li>
 <li>
 Reviews the system specification with the implementation and test M&eacute;tiers
 </li>
 <li>
 Participate in project and system m&eacute;tier meetings.
 </li>
 <li>
 Applies environment Safety and Security procedures and good practices.
 </li>
 <li>
 Known for their activities and the subcontractors' activities, the potential risk and their consequences, is attentive and responsive to them and manages the associated action plans
 </li>
 </ul>
 <li>
 Education/Training
 
 </li>
 </ul>
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Education/Training
 
 
 
 
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 
 0~1 Years experience in designing embedded electronic System for Automotive or Industrial applications
 
 
 
 
 Knowledge of modeling/simulation tools and requirement management tools is a plus.
 
 
 
 
 Knowledge of automotive communication buses.
 
 
 
 
 
 Languages
 
 
 
 
 
 Good command of the English language is a must.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Familiar with requirement management tools like (DOORs/Codebeamer)
 
 
 
 
 Knowledge Of The Following Tools/Standards Is Plus
 
 
 
 <ul>
 <li>
 CatiaMagic, Matlab/Simulink and DSpace environment
 </li>
 <li>
 Cybersecurity knowledge ISO/SAE 21434
 </li>
 <li>
 Familiar with UDS 14229
 </li>
 <li>
 Familiar with safety ISO 2662
 </li>
 </ul>
</div>

Junior System Design Engineer, LIGHT

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
 
 
 
 Role Overview
 
 
 
 We are looking for a motivated DevOps Engineer to join our team in Cairo, Egypt. This role is ideal for a candidate with 3+ years of experience in DevOps, cloud infrastructure, or platform engineering, and a strong interest in automation, deployment pipelines, and cloud operations.
 
 
 The ideal candidate should have hands-on experience with AWS, Terraform, and other Infrastructure as Code (IaC) tools, along with a good understanding of CI/CD practices, system reliability, and cloud infrastructure management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support the design, implementation, and maintenance of cloud infrastructure on AWS
 </li>
 <li>
 Develop and manage infrastructure using Terraform and other IaC tools
 </li>
 <li>
 Assist in building and maintaining CI/CD pipelines for application deployment and infrastructure automation
 </li>
 <li>
 Collaborate with software engineering teams to improve deployment processes, scalability, and operational efficiency
 </li>
 <li>
 Monitor cloud environments and help ensure system reliability, security, and performance
 </li>
 <li>
 Automate repetitive operational tasks to improve efficiency and consistency
 </li>
 <li>
 Support troubleshooting of infrastructure, deployment, and environment-related issues
 </li>
 <li>
 Participate in managing cloud resources, networking, permissions, and environment configurations
 </li>
 <li>
 Contribute to documentation for infrastructure, deployment processes, and operational procedures
 </li>
 <li>
 Follow DevOps best practices for release management, automation, monitoring, and incident response
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or a related field
 </li>
 <li>
 3+ years of experience in DevOps, cloud engineering, system administration, or a related role
 </li>
 <li>
 Hands-on experience with AWS
 </li>
 <li>
 Experience with Terraform for infrastructure provisioning and management
 </li>
 <li>
 Familiarity with other IaC tools such as CloudFormation, Ansible, or similar
 </li>
 <li>
 Understanding of CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar
 </li>
 <li>
 Experience with Linux environments and shell scripting
 </li>
 <li>
 Familiarity with Git and version control best practices
 </li>
 <li>
 Basic understanding of networking, cloud security, IAM, and system monitoring
 </li>
 <li>
 Strong problem-solving skills and a willingness to learn in a fast-paced team environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with container technologies such as Docker
 </li>
 <li>
 Familiarity with container orchestration platforms such as Kubernetes
 </li>
 <li>
 Understanding of monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or the ELK stack
 </li>
 <li>
 Exposure to security best practices in cloud environments
 </li>
 <li>
 Experience working in Agile or cross-functional engineering teams
 
 
 </li>
 </ul>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 #SWSaaS
 
 
</div>

DevOps Engineer

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

AI / ML Engineer

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Software Engineer with strong expertise in backend development to design, build, and maintain scalable, secure, and high-performance software solutions. The ideal candidate has deep experience with Java, Spring Boot, AWS cloud services, containerization technologies, and both relational and NoSQL databases.
 
 
 In this role, you will work closely with cross-functional teams to architect backend systems, develop cloud-based applications, and ensure reliable, scalable production services. This is an excellent opportunity for an experienced backend engineer who enjoys building robust distributed systems and solving complex technical challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, test, and maintain scalable backend applications using Java and Spring Boot
 </li>
 <li>
 Build and enhance RESTful APIs and microservices-based architectures
 </li>
 <li>
 Develop secure, reliable, and high-performing systems for cloud-native environments
 </li>
 <li>
 Build and support applications deployed on AWS
 </li>
 <li>
 Work with containerization technologies such as Docker and orchestration platforms such as Kubernetes
 </li>
 <li>
 Design and optimize data models using relational databases and NoSQL databases
 </li>
 <li>
 Ensure application scalability, performance, maintainability, and reliability
 </li>
 <li>
 Collaborate with product managers, architects, QA engineers, and other developers to deliver high-quality solutions
 </li>
 <li>
 Troubleshoot application issues and perform root cause analysis
 </li>
 <li>
 Apply best practices in security, performance optimization, and software engineering
 </li>
 <li>
 Mentor junior engineers and contribute to engineering standards, code reviews, and technical design discussions
 </li>
 <li>
 Participate in architecture planning and technical decision-making
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or a related field
 </li>
 <li>
 5+ years of professional software development experience, with significant focus on backend engineering
 </li>
 <li>
 Strong hands-on experience with Java and Spring Boot
 </li>
 <li>
 Experience designing and developing microservices and REST APIs
 </li>
 <li>
 Strong experience with AWS services such as:
 </li>
 <li>
 EC2
 </li>
 <li>
 ECS and/or EKS
 </li>
 <li>
 Lambda
 </li>
 <li>
 RDS
 </li>
 <li>
 S3
 </li>
 <li>
 Experience with Docker and container orchestration platforms such as Kubernetes
 </li>
 <li>
 Experience with relational databases such as PostgreSQL, MySQL, or Oracle
 </li>
 <li>
 Experience with NoSQL databases such as MongoDB, DynamoDB, or Cassandra
 </li>
 <li>
 Proficiency with Git and modern development workflows
 </li>
 <li>
 Strong understanding of software design principles, object-oriented programming, and distributed systems
 </li>
 <li>
 Experience with testing frameworks and practices, including unit, integration, and API testing
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with messaging and streaming technologies such as Kafka, RabbitMQ, or SQS/SNS
 </li>
 <li>
 Experience with monitoring and observability tools
 </li>
 <li>
 Knowledge of security best practices for cloud and application development
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 <li>
 Exposure to serverless architectures
 </li>
 <li>
 Experience leading technical projects or mentoring engineering teams
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 Backend Development : Java , Spring Boot , REST APIs , Microservices ,Hibernate / JPA ,Maven / Gradle
 
 
 Cloud &amp; Platform : AWS , Docker , Kubernetes ,Linux
 
 
 Databases : Relational databases: PostgreSQL, MySQL, Oracle. NoSQL databases: MongoDB, DynamoDB, Cassandra. Data modeling
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 #SWSaaS
 
 
</div>

Senior Software Backend Development Engineer

Explore 136+ System design engineer model simulation light in Cairo this August. Find roles across top companies and apply now to boost your career.

136 system design engineer model simulation light jobs In Cairo

System Design Engineer - Model & simulation, LIGHT

System Design Engineer - Model & simulation, LIGHT

AI Engineer, LIGHT

Junior System Design Engineer, LIGHT

DevOps Engineer

AI / ML Engineer

Senior Software Backend Development Engineer