Technology & IT Jobs

Oversee daily production operations and ensure smooth workflow on the production line Translate production plans into effective daily execution Monitor efficiency, yield, downtime, and waste across production processes Ensure proper coordination between production, QA, maintenance, and warehouse teams Identify bottlenecks and implement practical process improvements Ensure adherence to GMP, hygiene, and food safety standards Support continuous improvement initiatives to optimize productivity Track and report production KPIs using Google Sheets / Excel Ensure production output meets required quality and specification standards Maintain operational discipline and consistency across shifts Requirements Bachelor's degree in Engineering, Agricultural Sciences, or Science (Food Science / Chemistry or related fields) 1-3 years of experience in F&B production (Bakery / FMCG is a must) Strong understanding of production flow and operational execution Good knowledge of GMP and basic food safety principles Ability to work closely with Quality Assurance teams to ensure compliance Strong problem-solving and analytical skills Ability to work under pressure in a high-volume production environment Good communication and coordination skills across departments Strong command of Google Sheets / Excel for reporting Experience in central kitchens or bakery production environments is preferred Exposure to lean manufacturing or continuous improvement practices is preferred Benefits Social Insurance Show more

We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities: Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks Requirements Education & Experience 7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOps MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline Experience mentoring, coaching, or leading technical team members Data Science & Machine Learning Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation Experience with Deep Learning concepts and frameworks Extensive hands-on experience with Python and the Data Science ecosystem Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch Experience conducting research, experimentation, and hypothesis-driven analysis MLOps & Production AI Experience deploying and managing Machine Learning models in production environments Experience monitoring model performance, detecting concept drift, and driving continuous improvements Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit Generative AI & Agentic AI Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows Strong understanding of prompt engineering techniques and LLM optimization Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques Nice to Have: Advanced AI & Data Science Reinforcement Learning (RL) Optimization techniques, including single-objective and multi-objective optimization Stochastic Local Search methods Knowledge Graphs and Graph Machine Learning Cloud & Data Engineering Experience building large-scale data pipelines on Azure, AWS, or GCP Experience with Databricks and Apache Spark Experience with distributed data processing architectures Leadership & Consulting Experience leading AI initiatives and technical strategy Experience working directly with international clients and stakeholders Experience defining AI architecture, standards, and best practices across teams Benefits Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi & Nasr City Social insurance Opportunity to travel and work onsite with U.S. customers In-house Technical and English training programs Dedicated learning time (check out our 4Plus1 Program) Flexible work schedules Perks: events, sponsored lunch, game area, rooftop hangout + more! Show more

Careers Details HomeCareersCareers Details Full timeOn siteUrgent S e n i o r S o f t w a r e Q A E n g i n e e r Cairo, Egypt J o b D e s c r i p t i o n We're looking for a seasoned Senior QA Engineer to champion quality across our software platforms. This role goes beyond testing—it's about building a culture of precision, reliability, and continuous improvement. Lead end-to-end QA efforts, architect scalable test frameworks, and collaborate with cross-functional teams to deliver flawless user experiences. R e q u i r e m e n t s 5+ years of hands-on QA experience in agile software development environments. Strong proficiency in test automation and scripting (e.g., Python, JavaScript, or Java). Deep understanding of software QA methodologies, tools, and processes. Experience with CI/CD tools and version control systems (e.g., Git). Familiarity with cloud environments (AWS, Azure, or GCP) and containerized testing (Docker). Solid grasp of performance testing principles and tools. Excellent analytical, problem-solving, documentation, and communication skills. Bonus: ISTQB certification, experience with security testing, or exposure to healthcare/regulated domains. R e s p o n s i b i l i t i e s Design, implement, and maintain robust test strategies for web, mobile, and API layers. Develop and execute manual and automated test cases across functional, regression, performance, and security domains. Own the QA lifecycle from planning through release, ensuring traceability and coverage. Build and scale automation frameworks using Selenium, Cypress, or Playwright. Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, or Azure DevOps). Conduct API testing using Postman, REST Assured, or similar tools. Perform load and stress testing using JMeter, Locust, or k6. Collaborate with developers, product managers, and DevOps to triage issues and optimize release cycles. Mentor junior QA engineers and promote best practices across teams. Drive continuous improvement through root cause analysis and quality metrics. Job Information Job CodeQA-ENG-SR-007 DepartmentQuality Assurance RoleSenior Software QA Engineer LocationCairo, Egypt Experience5-8 yrs Send Your CV Now L e t ’ s B u i l d F u t u r e T o g e t h e r Get Started Now We architect digital platforms that scale trust, drive transformation, and meet global standards across industries, borders, and regulations. Services Digital Transformation Business Process Automation AI Enablement Enterprise Integrations Data & Analytics Software Outsourcing Resources About Us Careers Contact Us Our Offices Head Office123 Clock Tower, Business Bay, Dubai, UAE. Mon-Fri 9am-5pm Egypt OfficeThe GrEEK Campus (F-211), 171 El Tahrir, Down Town, Cairo, Egypt. Sun-Thu 9am-5pm info@tanemera.com © 2025 Tanemera All right reserved Privacy Policy Terms & Condition Show more

We seek a highly skilled and experienced SRE Engineer to join our dynamic team. The ideal candidate will have a robust background in software engineering, with extensive experience in using Terraform for infrastructure as code (IaC) to manage and provision cloud resources on AWS. Design, implement, and manage cloud infrastructure using Terraform and other IaC tools Proactively monitor, troubleshoot, and optimize the performance of cloud environments to guarantee high availability and efficiency Implement and maintain CI/CD pipelines for automated code deployment and infrastructure changes Develop and manage the data stack, encompassing infrastructure resources, implementation, and data lake setup Respond to and manage critical alerts and incidents, coordinating swift response efforts to mitigate impact and downtime Perform thorough root cause analysis (RCA) for incidents to identify and address underlying issues, developing solutions that prevent future occurrences Document and maintain comprehensive guides for system configurations and operational procedures, promoting knowledge sharing and operational excellence Requirements Bachelor's degree in Computer Science, Engineering, or a related field Solid 4+ years of experience in the same or relevant field Solid background in software engineering with advanced proficiency in high-level programming languages such as JavaScript or Python. Additional experience with NodeJS is a plus Expertise in AWS cloud services, with a keen understanding of architecture, security principles, and cost optimization strategies Strong experience in Linux system administration, including setup, configuration, and maintenance tasks Proficiency in containerization with Docker and orchestration with Kubernetes is highly valued Experience with scripting languages (Bash, Python, Go) and familiarity with Git workflows Demonstrated ability to automate and manage infrastructure using Terraform and other IaC tools in cloud environments like AWS or Azure Understanding of microservices architecture, Serverless technologies, and both SQL and NoSQL database systems Exceptional problem-solving abilities, alongside excellent teamwork and communication skills. Adaptability and a commitment to continuous learning in the fast-evolving cloud technology landscape are essential Show more

Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions, is looking for Senior .Net Engineer to enrich its team with a skilled professional to spread company's ideas, vision, content and messages. Responsibilities: Develop and maintain a high-performance image processing system capable of processing up to terabytes of 3D images and raster images per day. Availability 24/7 Implement algorithms and techniques to efficiently process and analyze images, including image segmentation, feature extraction, and object recognition Develop tools and applications (back-end) to visualize and manipulate 3D images and point cloud data Optimize processing speed and memory usage for maximum efficiency Implement database management solutions to store and retrieve image data efficiently Implement integration with embedded devices via gRPC protocol Collaborate with other team members, including microscope hardware engineers, to ensure seamless integration of the image processing system with the overall workflow Requirements Technical Skills: Extensive experience in C# programming language (.NET/.NET Core) Strong understanding of performance optimization, image processing algorithms and techniques Experience with raster image processing and manipulation Familiarity with image file formats, including TIFF, JPEG, and PNG Knowledge of multithreading and parallel processing Experience with SQL and large storage database management (MS SQL or PostgreSQL) Libraries Experience: Familiarity with .NET libraries, such as ADO.NET, Entity Framework, or Dapper Familiarity with gRPC protocol Nice to have: experience with image processing libraries, such as OpenCV, EmguCV, or ImageMagick Nice to have: experience with healthcare image processing in general, or Zeiss CZI in particular Show more

About The Role As a Senior Software Developer, you will play a key role in designing, developing, and maintaining modern web applications and scalable microservices. You will work across both frontend (React, TypeScript) and backend (.NET Core) technologies, contributing to performance, security, and maintainability. You will also mentor junior developers and promote engineering excellence within the team. Key Responsibilities Design, build, and maintain scalable, secure, and high-performance microservices, web applications, and APIs Develop new features and enhancements in both frontend (React) and backend (.NET Core) components Write clean, maintainable, and testable code following modern development best practices (SOLID, DRY, Clean Architecture) Apply software design patterns to create modular and extensible systems Integrate with RESTful and gRPC APIs, and develop new endpoints where needed Work with SQL Server, PostgreSQL, and MongoDB databases Implement caching, queuing, and event-driven patterns using Redis and RabbitMQ Ensure secure coding practices in authentication, authorization, and data protection Collaborate with QA engineers and DevOps throughout the software delivery lifecycle Participate in code reviews, pair programming, and design discussions Mentor junior developers and contribute to continuous improvement initiatives. Required Skills & Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field 4+ years of hands-on experience in software development using .NET Core and modern web technologies Strong experience in C# / .NET Core / ASP.NET Core Web API Solid knowledge of React, TypeScript, Node.js, and modern JavaScript (ES6+) Experience with HTML5, CSS3, and responsive web design Proficiency with SQL, ORM, Entity Framework Core, and LINQ Understanding of microservice architecture, RESTful API design, and OpenAPI/Swagger documentation Experience with authentication and authorization mechanisms (OAuth2, OpenID Connect, JWT) Strong debugging and problem-solving skills across multiple system layers. Preferred Experience Knowledge of software design patterns (Repository, Factory, Dependency Injection, CQRS, etc.) Experience integrating and consuming gRPC for inter-service communication Familiarity with Redis caching and RabbitMQ messaging systems Hands-on experience with Git, Docker, and CI/CD pipelines (GitHub Actions or Azure DevOps) Exposure to HashiCorp Vault or similar secure secret management tools Experience in Agile software delivery environments Knowledge of unit and integration testing (xUnit, NUnit, Jest, etc.) AI research and Blockchain experience are strong pluses Powered by JazzHR l8O8FWOByh Show more