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ai & automation engineer, light Jobs in Egypt

ai & automation engineer, light

ai engineer

ai platform engineer

ai automation engineer light

Valeo

<div><p>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
</p><p></p><p>Responsibilities Cross-Disciplinary Automation <b>: </b>Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
<br>
<br>
Physics-Informed Modeling : Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
<br>
<br>
<b>AI-Enhanced System Engineering </b>: Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
<br>
<br>
<b>Predictive Project Management </b>: Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
<br>
<br>
<b>Standards &amp; Compliance: </b>Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
<br>
<br>
<b>Toolchain Integration </b>: Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
</p><div>Key competencies <b>Technical Skills
</b><br>
<br>
AI and Machine Learning
<br>
* Generative AI &amp; LLMs
<br>
<ul><li>Predictive Modeling
</li><li>Computer Vision
</li></ul><br>
Data Engineering and Management
<br>
* Data Pipeline Construction: Automating the flow of data into AI models.
<br>
<ul><li>Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from &quot;noise.&quot;
</li></ul><br>
<b>Process Automation &amp; Integration (MLOps)
</b><br>
* Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
<br>
<ul><li>Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
</li></ul><br>
Programming &amp; Scripting:
<br>
* Python
<br>
<ul><li>Javascript / Google Apps Script
</li><li>Google Docs / Sheets functions &amp; automation
</li><li>HTTP rest API's
</li></ul><br>
Tooling &amp; ALM: ( Plus Knowledge)
<br>
* Codebeamer (Requirement Management Tool)
<br>
<ul><li>Google Cloud Platform
</li></ul><br>
Automation &amp; Integration concepts
<br>
* AI &amp; Data Handling:
<br>
<ul><li>Basic to intermediate experience with AI tools, APIs, or AI agents
</li><li>Interest in applying AI to engineering processes<br>
</li></ul><br>
<br>
Soft Skills
<br>
* Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
<br>
<ul><li>Ability to work autonomously and proactively
</li><li>Analytical mindset with strong problem-solving skills
</li><li>User-oriented mindset (training, support, feedback handling)
</li><li>Time Managment
</li></ul></div><p>Nice to Have
<br>
<br>
Experience with requirement traceability or compliance activities
<br>
<br>
Exposure to AI-assisted automation or low-code/no-code platforms
<br>
<br>
Physics-Informed Machine Learning (PIML)
<br>
<br>
Predictive Project Analytics
<br>
<br>
Understanding of system engineering lifecycle and deliverables
<br>
<br>
Aware about Automotive industry and embedded systems.
</p><p>Years of Experience 2 to 3 years experience in AI &amp; tools development
</p><p></p><p><b>Job:
</b></p>AI4all, Engineering Disciplines
<p><b>Organization:
</b></p>GTSC Software
<p><b>Schedule:
</b></p>Full time
<p><b>Employee Status:
</b></p>Regular
<p><b>Job Type:
</b></p><p><b>Job Posting Date:
</b></p>2026-04-07
<div><i>Join Us !
</i><br>
<i>Being part of our team, you will join:
</i><br>
<ul><li><i>one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
</i></li><li><i>a multi-cultural environment that values diversity and international collaboration
</i></li><li><i>more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
</i></li><li><i>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
</i></li></ul><br>
<i>More information on Valeo: </i><i>https://www.valeo.com</i></div></div>

AI & Automation Engineer, 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.
 <br/>
 <br/>
 Responsibilities Cross-Disciplinary Automation
 <strong>
  ~
 </strong>
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 <br/>
 <br/>
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 <br/>
 <br/>
 <strong>
  AI-Enhanced System Engineering
 </strong>
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 <br/>
 <br/>
 <strong>
  Predictive Project Management
 </strong>
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 <br/>
 <br/>
 <strong>
  Standards &amp; Compliance~
 </strong>
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 <br/>
 <br/>
 <strong>
  Toolchain Integration
 </strong>
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 <br/>
 <br/>
 Key competencies
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 AI and Machine Learning
 <br/>
 <br/>
 <ul>
  <li>
   Generative AI &amp; LLMs
  </li>
  <li>
   Predictive Modeling
  </li>
  <li>
   Computer Vision
   <br/>
   <br/>
  </li>
 </ul>
 Data Engineering and Management
 <br/>
 <br/>
 <ul>
  <li>
   Data Pipeline Construction~ Automating the flow of data into AI models.
  </li>
  <li>
   Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Process Automation &amp; Integration (MLOps)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
  </li>
  <li>
   Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
   <br/>
   <br/>
  </li>
 </ul>
 Programming &amp; Scripting~
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   Javascript / Google Apps Script
  </li>
  <li>
   Google Docs / Sheets functions &amp; automation
  </li>
  <li>
   HTTP rest API's
   <br/>
   <br/>
  </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 <br/>
 <br/>
 <ul>
  <li>
   Codebeamer (Requirement Management Tool)
  </li>
  <li>
   Google Cloud Platform
   <br/>
   <br/>
  </li>
 </ul>
 Automation &amp; Integration concepts
 <br/>
 <br/>
 <ul>
  <li>
   AI &amp; Data Handling~
  </li>
  <li>
   Basic to intermediate experience with AI tools, APIs, or AI agents
  </li>
  <li>
   Interest in applying AI to engineering processes
   <br/>
   <br/>
  </li>
 </ul>
 Soft Skills
 <br/>
 <br/>
 <ul>
  <li>
   Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
  </li>
  <li>
   Ability to work autonomously and proactively
  </li>
  <li>
   Analytical mindset with strong problem-solving skills
  </li>
  <li>
   User-oriented mindset (training, support, feedback handling)
  </li>
  <li>
   Time Managment
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 Experience with requirement traceability or compliance activities
 <br/>
 <br/>
 Exposure to AI-assisted automation or low-code/no-code platforms
 <br/>
 <br/>
 Physics-Informed Machine Learning (PIML)
 <br/>
 <br/>
 Predictive Project Analytics
 <br/>
 <br/>
 Understanding of system engineering lifecycle and deliverables
 <br/>
 <br/>
 <strong>
  Aware About Automotive Industry And Embedded Systems.
  <br/>
  <br/>
 </strong>
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 <br/>
 <br/>
 <strong>
  Position~
  <br/>
  <br/>
 </strong>
 AI4all, Engineering Disciplines
 <br/>
 <br/>
 <strong>
  D&eacute;partement~
  <br/>
  <br/>
 </strong>
 GTSC Software
 <br/>
 <br/>
 <strong>
  Schedule~
  <br/>
  <br/>
 </strong>
 Temps plein
 <br/>
 <br/>
 <strong>
  Employee Status~
  <br/>
  <br/>
 </strong>
 CDI
 <br/>
 <br/>
 <strong>
  Type de contrat~
  <br/>
  <br/>
 </strong>
 <strong>
  Job Posting Date~
  <br/>
  <br/>
 </strong>
 2026-04-07
 <br/>
 <br/>
 <em>
  Join Us !
  <br/>
  <br/>
  Being part of our team, you will join~
  <br/>
  <br/>
  <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
    <br/>
    <br/>
   </li>
  </ul>
  More information on Valeo~ https~//www.valeo.com
 </em>
</div>


Arrow Components

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Senior Software Quality Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Senior Software Quality Engineer
 </strong>
 with strong experience in manual, automation, performance, and API testing, along with a passion for using
 <strong>
  AI/ML to enhance software testing
 </strong>
 . You&rsquo;ll be part of an Agile team focused on delivering high-quality products faster and smarter.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria.
  </li>
  <li>
   Develop and maintain test automation frameworks across UI and API platforms.
  </li>
  <li>
   Perform API testing using tools like Postman, RestAssured, or similar.
  </li>
  <li>
   Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements.
  </li>
  <li>
   Apply AI/ML technologies techniques to improve testing practices, such as:
  </li>
  <ul>
   <li>
    AI-assisted test case generation
   </li>
   <li>
    Test impact analysis
   </li>
   <li>
    Intelligent test prioritization
   </li>
   <li>
    Self-healing automation scripts
   </li>
   <li>
    Predictive defect analysis
   </li>
  </ul>
  <li>
   Collaborate with developers, product owners, and business analysts in Agile ceremonies including sprint planning, reviews, and retrospectives.
  </li>
  <li>
   Contribute to and enforce quality best practices, including shift-left testing and test strategy planning.
  </li>
  <li>
   Investigate, debug, and triage issues; perform root cause analysis and track defect trends.
  </li>
  <li>
   Continuously explore and evaluate new tools and techniques to optimize test coverage and cycle time.
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years in QC with expertise in manual, automation, API, and performance testing.
  </li>
  <li>
   Hands-on experience with tools like Selenium, Playwright, JMeter, and Postman.
  </li>
  <li>
   Proficient in scripting/programming languages like Python, Java, or JavaScript.
  </li>
  <li>
   Working knowledge of AI/ML concepts, especially as applied to testing (e.g., pattern detection, test impact analysis).
  </li>
  <li>
   Experience using or evaluating AI-based testing tools or frameworks.
  </li>
  <li>
   Solid understanding of Agile/Scrum practices and CI/CD pipelines.
  </li>
  <li>
   Strong analytical, debugging, and problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Senior Software Quality Engineer

Flatgigs

<div>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 <br/>
 <br/>
 The work is hands-on and client-facing:
 <br/>
 <br/>
 <ul>
  <li>
   Understand operational workflows and convert them into technical artifacts
  </li>
  <li>
   Connect to real enterprise systems and data sources
  </li>
  <li>
   Build context-aware AI agents, retrieval systems, and automation prototypes
  </li>
  <li>
   Help move the best prototypes toward reliable production deployments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Build context graphs.
 </strong>
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 <br/>
 <br/>
 <strong>
  Develop AI and agentic workflows.
 </strong>
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 <br/>
 <br/>
 <strong>
  Connect to enterprise systems
 </strong>
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 <br/>
 <br/>
 <strong>
  Prototype automation opportunities.
 </strong>
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 <br/>
 <br/>
 <strong>
  Turn messy business problems into software.
 </strong>
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 <br/>
 <br/>
 <strong>
  Support production deployments.
 </strong>
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 <br/>
 <br/>
 <strong>
  Ideal Candidate
  <br/>
  <br/>
 </strong>
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 <br/>
 <br/>
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 <br/>
 <br/>
 <strong>
  Technical Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Python fundamentals
  </li>
  <li>
   Basic backend development experience
  </li>
  <li>
   Familiarity with APIs, databases, and cloud services
  </li>
  <li>
   Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
  </li>
  <li>
   Familiarity with data pipelines and messy real-world datasets
  </li>
  <li>
   Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
  </li>
  <li>
   AWS experience is a plus
  </li>
  <li>
   Experience with enterprise data, analytics, or workflow automation is a strong plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes Someone Successful In This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You like figuring out how businesses actually operate
  </li>
  <li>
   You are comfortable working with incomplete, messy, or poorly documented data
  </li>
  <li>
   You can move quickly from vague requirements to a working prototype
  </li>
  <li>
   You care about building useful systems, not just impressive demos
  </li>
  <li>
   You communicate clearly with both engineers and non-technical stakeholders
  </li>
  <li>
   You are curious about how AI agents can interact with real tools, data, and workflows
  </li>
  <li>
   You want to learn how to deploy AI into real enterprise environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Is Interesting
  <br/>
  <br/>
 </strong>
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 <br/>
 <br/>
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>


Forward Deployed AI Engineer

Infomineo

<div>
 <p>
  Description
 </p>
 <p>
  <strong>
   About us:
  </strong>
 </p>
 <p>
  Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
 </p>
 <p>
  <strong>
   About this role:
  </strong>
 </p>
 <p>
  We are actively seeking a highly skilled and experienced individual to join us as a Senior Research &amp; Development Engineer. This role requires expertise in DevOps, Cloud Computing, AI projects, API integration, and preferably data engineering. The ideal candidate will play a pivotal role in defining and developing initiatives that leverage AI and automation technologies to enhance our products and services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <ul>
  <li>
   Technical Development and Automation:
  </li>
  <li>
   Lead the development and implementation of AI-driven solutions, focusing on automation and efficiency.
  </li>
  <li>
   Utilize DevOps principles to streamline development processes and ensure seamless deployment of AI applications.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Cloud Architecture and Integration:
  </li>
  <li>
   Design and implement scalable cloud architectures to support AI initiatives.
  </li>
  <li>
   Integrate AI solutions with cloud platforms, ensuring optimal performance and scalability.
  </li>
  <li>
   Implement best practices for cloud security and compliance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   API Integration and Data Engineering:
  </li>
  <li>
   Develop and maintain API integrations to enhance data flow between different systems.
  </li>
  <li>
   Leverage data engineering techniques to process and analyze large datasets for AI model training.
  </li>
  <li>
   Ensure data quality and integrity throughout the integration process.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   AI Project Management:
  </li>
  <li>
   Utilize agile methodologies to manage the lifecycle of AI development projects.
  </li>
  <li>
   Collaborate with stakeholders to define project requirements and deliverables.
  </li>
  <li>
   Track and report on project progress, addressing any challenges or bottlenecks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Continuous Improvement and Innovation:
  </li>
  <li>
   Stay updated on the latest advancements in AI, automation, and related technologies.
  </li>
  <li>
   Propose and implement improvements to existing systems and processes.
  </li>
  <li>
   Foster a culture of innovation within the team, encouraging creative problem-solving.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <ul>
  <li>
   3 to 5 years Proven experience in DevOps, Cloud Computing, AI projects and API integration.
  </li>
  <li>
   In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP).
  </li>
  <li>
   Experience with containerization technologies (e.g., Docker, Kubernetes).
  </li>
  <li>
   Solid understanding of data engineering principles and practices.
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Preferred Skills:
 </p>
 <ul>
  <li>
   Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, TensorFlow Developer).
  </li>
  <li>
   Previous experience in data engineering
  </li>
  <li>
   Strong proficiency in relevant programming languages (e.g., Python, Java).
  </li>
  <li>
   Previous experience in developing and deploying AI models in a production environment.
  </li>
  <li>
   Familiarity with machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in building and maintaining data pipelines.
  </li>
 </ul>
 <p>
  What We Offer:
 </p>
 <ul>
  <li>
   Competitive salary and benefits.
  </li>
  <li>
   Opportunity to shape and drive AI and automation initiatives.
  </li>
  <li>
   A collaborative and forward-thinking work environment.
  </li>
  <li>
   Professional development and career growth opportunities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Application Process:
 </p>
 <p>
  Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in DevOps, Cloud Computing, AI projects, API integration, and data engineering. Shortlisted candidates may undergo a technical assessment or interview process to demonstrate their skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What is it like to work at Infomineo?
  </strong>
 </p>
 <p>
  If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company&rsquo;s greatest strength. By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team of researchers that value intellectual vitality and creativity. You will learn the best practices, tools to use when conducting primary and secondary research. You will grow your career, expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company&rsquo;s development and growth. Within this role, you'll support leading international institutions &amp; companies with the data and information required to fuel key business decisions.
 </p>
</div>


Tech Innovation - Sr. R&D Software Engineer- Cairo

CrossWorkers

<div><p><b>Title:</b> Senior Quality Assurance Engineer (Frontend Focus)<br>
<b>Industry:</b> IT Software<br>
<b>Reporting Line:</b> Engineering Manager / Service Delivery Manager<br>
<b>Position Type:</b> Full Time<br>
<b>Location:</b> Cairo</p><p>
We are looking for a detail-oriented Quality Assurance Engineer with a frontend focus to ensure high-quality standards across our applications. This role involves working with modern test automation tools, AI-enhanced workflows, and close collaboration with cross-functional teams to deliver a seamless user experience.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><p><b>
Test Automation &amp; Quality Assurance:</b></p><ul><li><p>
Build and maintain end-to-end test automation using Playwright</p></li><li><p>
Support migration of existing Cypress test suites to Playwright</p></li><li><p>
Perform integration and API testing using tools like Postman</p></li><li><p>
Test event-driven and asynchronous systems, including message handling and retry flows</p></li></ul><p><b>
AI &amp; Modern Testing Practices:</b></p><ul><li><p>
Leverage AI tools and adapt to agentic workflows to enhance testing efficiency</p></li><li><p>
Continuously improve testing processes using modern technologies</p></li></ul><p><b>
Collaboration &amp; Communication:</b></p><ul><li><p>
Collaborate closely with developers, UX, and cross-functional teams to improve product quality</p></li><li><p>
Communicate effectively with both technical stakeholders and end users</p></li><li><p>
Contribute through Git (pull requests) and support CI/CD workflows in Azure DevOps</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Desired Skills:</b></h3><ul><li><p>
Strong proficiency in TypeScript</p></li><li><p>
Hands-on experience with Playwright (Cypress is a plus)</p></li><li><p>
Experience with API and integration testing</p></li><li><p>
Basic understanding of React</p></li><li><p>
Familiarity with Git and modern development workflows</p></li><li><p>
Experience or interest in AI tools and agentic workflows</p></li><li><p>
Strong problem-solving and critical thinking skills</p></li><li><p>
Very good English communication skills</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Nice to Have:</b></h3><ul><li><p>
Experience with Playwright MCP</p></li><li><p>
Basic knowledge of Kubernetes</p></li><li><p>
Understanding of data visualization and charting</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
What We Value:</b></h3><ul><li><p>
Ownership and strong attention to detail</p></li><li><p>
Passion for user experience and usability</p></li><li><p>
Willingness to understand the product end-to-end</p></li><li><p>
Proactive adoption of new technologies, especially AI-driven approaches</p></li><li><p>
Collaborative mindset and knowledge sharing</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
What We Offer:</b></h3><ul><li><p>
Competitive salary</p></li><li><p>
Social &amp; Medical insurance</p></li><li><p>
Flexible working environment</p></li><li><p>
Professional and supportive work environment</p></li><li><p>
Access to modern tools and technologies</p></li><li><p>
Continuous learning and development opportunities</p></li><li><p>
Clear career growth path</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
About </b><b>CrossWorkers</b></h3><p>
We are a Danish-owned software offshoring company providing European clients with professional Egyptian developers.</p><p>
We have been in business since 2009, delivering high-quality software development services and building long-term partnerships.</p><p>
Our headquarters are in Copenhagen, Denmark, and our Offshore Development Center is located in the Fifth Settlement, New Cairo.</p><p>
We also have a growing presence across Sweden, Norway, Finland, Switzerland, the UK, Germany, and Bahrain.</p></div>

Senior Quality Assurance Engineer (Frontend Focus)

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><div><b>Department:</b> Test Factory</div><div><b>
Location:</b> Egypt, Cairo</div><div>
As Senior Automation Tester you will define and drive the organization&rsquo;s test automation strategy, ensuring the creation of enterprise-grade, scalable, and innovative frameworks. The Senior Engineer sets standards, mentors others, and introduces advanced practices such as AI-driven automation, while managing testing risks at a strategic level.</div><div></div><div><b><br>
YOUR NEW KEY RESPONSIBILITIES:</b></div><ul><li>
Define and enforce automation strategy across teams.</li><li>
Architect scalable frameworks, ensuring best practices.</li><li>
Establish automation standards and quality KPIs.</li><li>
Lead automation for enterprise-level SAP and eCommerce projects.</li><li>
Mentor mid- and junior-level engineers.</li><li>
Drive innovation with AI-based test automation approaches.</li><li>
Manage risk and proactively resolve automation bottlenecks.</li></ul><div></div><div><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
7+ years in automation testing with proven leadership.</li><li>
Advanced expertise in enterprise tools (Playwright, Appium, UFT).</li><li>
Deep background in performance/load testing (JMeter, LoadRunner).</li><li>
Strong international/multi-vendor project experience.</li><li>
Knowledge of AI-driven automation solutions.</li><li>
Excellent leadership, mentoring, and stakeholder engagement skills.</li></ul><div></div><div><b><br>
Soft Skills:</b></div><ul><li>
Strategic Leadership: Defines automation vision and drives alignment across multiple teams and stakeholders.</li><li>
Mentorship &amp; Coaching: Develops the careers of mid-level and junior engineers by providing structured guidance.</li><li>
Influence &amp; Stakeholder Management: Persuades senior management and architects on automation investments and strategies.</li><li>
Innovation &amp; Vision: Champions advanced practices such as AI-driven testing and intelligent test design.</li><li>
Risk Management: Anticipates bottlenecks, balances priorities, and implements preventive measures.</li><li>
Executive Communication: Translates technical testing concepts into business outcomes, influencing executives and decision-makers.</li></ul><div></div><div><b><br>
ABOUT YOUR NEW TEAM:</b></div><div>
We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.</div><div></div><div><b><br>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></div><div>
Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.</div></div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Bonus incentives</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Medical Insurance</div>
</div></div><div><div><div>Free product quota</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Wellbeing program</div>
</div></div><div><div><div>Work from home</div></div></div></div></div></div></div>

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