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senior quality assurance engineer m f d

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 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.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <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."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <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
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <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
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, LIGHT

ELSEWEDY DIGITAL

<div>
 
 
 
 About Elsewedy Digital and Elsewedy Electric Company:
 
 
 
 
 We are the largest telecommunications, safety and security systems integrator operating in the Middle East, Africa and Asia Pacific regions providing turnkey solutions for energy, transport and telecom industries. All our telecommunications, safety and security solutions are engineered and supported locally, giving our customers the advantage of getting support for their businesses when and where they need it. We are fully integrated turnkey solutions provider in Telecommunications, Safety &amp; security, Fiber cabling &amp; connectivity and Automation. For more details, please visit our website: https://elsewedyelectric.com/en/page?v=Digital%20Solutions
 
 
 
 
 
 
 Key Tasks and Responsibilities:
 
 
 <ul>
 <li>
 Manage End-to-end delivery (installation, commissioning, acceptance), Network performance analysis and optimization, Migration/swap activities for optical networks and NMS/O&amp;M operations and alarm handling.
 </li>
 <li>
 Work with specialized systems such as Radio, Network, Transmission, and ELV. This involves designing, implementing, configuring and integrating various components ensuring compliance with industry standards and project requirements.
 </li>
 <li>
 Design telecommunications systems that meet project requirements, specifications and client standards.
 </li>
 <li>
 Identify project requirements by studying project specifications, and offer technical expertise to the Project Manager and lead engineer throughout the project lifecycle.
 </li>
 <li>
 Select appropriate materials and vendor to ensure system reliability and compliance with project specifications.
 </li>
 <li>
 Prepare comprehensive engineering documents post project award to clearly define all project specifications, facilitating smooth implementation and adherence to client standards.
 </li>
 <li>
 Provide technical support and guidance to internal teams and clients regarding telecom systems and solutions.
 </li>
 <li>
 Travelling globally may be required to support projects requirement for Pre-FAT, FAT, Pre-commissioning, commissioning, Pre-SAT, SAT activities.
 </li>
 <li>
 Evaluate design changes and modifications providing project impact assessments.
 </li>
 <li>
 Maintain accurate project filing systems and ensure proper documentation and version control.
 </li>
 <li>
 Prepare Purchase requests in coordination with Engineering, Procurement and PM.
 </li>
 <li>
 Cooperate with different disciplines to ensure the overall quality of technical work.
 </li>
 </ul>
 
 Attend project meetings and prepares the necessary technical data for the other disciplines.
 
 
 
 
 
 
 Essential Qualifications and Education:
 
 
 <ul>
 <li>
 Bachelor's Degree in in Telecommunications, Electrical Engineering, or a related field.
 </li>
 <li>
 3 years of relevant professional experience.
 </li>
 <li>
 Excellent written and spoken English communication skills.
 </li>
 <li>
 Hands-on experience in DWDM/OTN transmission networks, including HLD/LLD implementation, commissioning, and integration.
 </li>
 <li>
 CCNA and HCIA certifications are required.
 </li>
 </ul>
</div>

System Engineer (Transmission)

EDECS

<div>
 
 
 About EDECS:
 
 
 
 
 
 
 EDECS is a leading organization with 30 years of experience in marine constructions, infrastructure, earthworks, and transportation projects in Egypt, UAE, Oman, Saudi Arabia, and Africa, employing more than 2,000 employees. The organization provides innovative, sustainable, and cost-effective solutions for a wide range of projects, delivering excellence and meeting the highest standards of quality, safety, and sustainability.
 
 
 The organization has a strong presence in logistics projects, including high-speed and light-speed railways, railway stations, and commercial and administrative buildings. The organization also has extensive experience in earthworks, water irrigation, and yacht marinas. EDECS is a trusted partner for employers seeking to make a positive impact on the communities they serve.
 
 
 
 
 
 
 Position Overview :
 
 
 
 
 
 
 EDECS is seeking a highly motivated
 
 Senior Legal Counsel
 
 to provide end-to-end legal support on all corporate, projects, and investment matters across the EDECS Group and infrastructure investment. Act as the primary in-house legal execution arm for structuring, documentation, negotiations, and coordination with external counsel.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 1. Corporate &amp; Governance
 
 
 <ul>
 <li>
 Draft, review, and refine corporate documents, including AoA/MoA, shareholders&rsquo; agreements, board and shareholder resolutions, PoAs, share certificates, capital increases, and share transfer documents.
 </li>
 <li>
 Prepare and maintain statutory corporate records, group structure charts, and legal registers.
 </li>
 <li>
 Liaise with corporate service providers, regulators, and notaries (Egypt and offshore jurisdictions) regarding incorporations, amendments, attestations, and filings.
 </li>
 <li>
 Support development and refinement of governance frameworks including Investment/Executive Committee ToRs, delegation of authority matrices, signing policies, and board procedures.
 </li>
 <li>
 Prepare and refine internal policies (related-party transactions, conflicts of interest, document retention, compliance checklists).
 </li>
 </ul>
 
 
 2. P
 
 rojects, Infrastructure &amp; PPP
 
 <ul>
 <li>
 Support in drafting and reviewing concession agreements and PPP/DBFOMT/BOT structures across infrastructure verticals.
 </li>
 <li>
 Translate commercial term sheets and Heads of Terms into legally robust project documentation (concession agreements, JDAs, JV agreements, project agreements, O&amp;M and technical services agreements).
 </li>
 <li>
 Track, analyze, and compare risk allocations (step-in rights, termination, guarantees, demand risk, performance securities, change-in-law, dispute resolution).
 </li>
 <li>
 Prepare structured markups and issue lists for negotiations with sponsors, operators, authorities, and lenders.
 </li>
 <li>
 Maintain live risk/issues log across key legal workstreams (projects, investments, financing, corporate).
 </li>
 <li>
 Support compliance with all project legal requirements throughout the full lifecycle, from bidding and preferred bidder stage, through financial close, construction, and operational phases. This includes monitoring obligations under concession agreements, regulatory frameworks, financing documents, and stakeholder approvals.
 </li>
 </ul>
 
 3. Investment Transactions &amp; Due Diligence
 
 <ul>
 <li>
 Support legal workstreams for investments undertaken by the Group and its principals.
 </li>
 <li>
 Assist in organizing and reviewing due diligence processes (legal DD checklists, data room management, red flag reports).
 </li>
 <li>
 Coordinate with external counsel on transaction documents, negotiations, and closing deliverables.
 </li>
 </ul>
 
 4. Banking, Finance &amp; Security
 
 <ul>
 <li>
 Review and negotiate facility agreements, security packages, intercompany loan arrangements, subordination agreements, and comfort letters in coordination with lenders and advisors.
 </li>
 <li>
 Support documentation for export credit transactions, project financing, EBLs, guarantees, and security perfection requirements.
 </li>
 </ul>
 
 5. Legal Operations &amp; Knowledge Management
 
 <ul>
 <li>
 Act as day-to-day interface with international and local law firms.
 </li>
 <li>
 Develop and maintain clause banks, checklists, templates, and comparison matrices for recurring deal types.
 </li>
 <li>
 Assist in building internal legal processes, documentation standards, and compliance workflows.
 </li>
 </ul>
 
 
 
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 Bachelor of Laws (LL.B.) from a recognized university; Master&rsquo;s degree or LLM is a plus.
 </li>
 <li>
 Admitted to practice in Egypt or another relevant jurisdiction.
 </li>
 <li>
 A minimum of 12 years post-qualification experience in a top-tier law firm and/or strong in-house role.
 </li>
 <li>
 Proven experience in at
 
 least two
 
 of the following:
 </li>
 </ul>
 
 Corporate / M&amp;A
 
 
 Projects / infrastructure / PPP
 
 
 Banking &amp; finance / structured finance
 
 <ul>
 <li>
 Exposure to cross-border structures.
 </li>
 <li>
 Ability to interpret complex legal frameworks across Egypt, and offshore jurisdictions.
 </li>
 <li>
 High research capability on regulatory, PPP, and finance-related matters.
 </li>
 </ul>
</div>

General Counsel

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
 <li>
 Write scripts and automation using Python/Java/Bash
 </li>
 <li>
 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
 <li>
 Understand how various systems work
 </li>
 <li>
 Understand how IT operations are managed
 </li>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

<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.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 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.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <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."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <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.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <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
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <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
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 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>

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Explore 69+ Senior quality assurance engineer m f d in Cairo this August. Find roles across top companies and apply now to boost your career.

69 senior quality assurance engineer m f d jobs In Cairo

System Design Engineer - AI & Automation, LIGHT

System Engineer (Transmission)

General Counsel

Senior DevOps Engineer

System Design Engineer - AI & Automation, LIGHT

Data Scientist / Senior Machine Learning Engineer

Senior DevOps Engineer, AI4ALL