cloud & devops engineer (egypt residency required)

ai engineer

chief engineer

cloud & devops engineer (egypt residency required) Jobs in Giza

cloud architecture lead

devops engineer (vois)

cloud engineer

Rackspace Technology

<div>
 We are seeking a
 <strong>
  Mid-to-Senior Cloud &amp; DevOps Engineer
 </strong>
 to own and evolve our cloud infrastructure and automation strategy.
 <strong>
  Candidates must be currently residing in Egypt and possess valid local work authorization.
 </strong>
 This role is ideal for a hands-on engineer who is passionate about building resilient AWS environments, optimizing CI/CD workflows, and integrating AI-driven efficiencies into modern operations.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud Infrastructure: Deploy and maintain highly available AWS environments (EC2, ECS, EKS) using Terraform to ensure infrastructure is versioned and reproducible.
  </li>
  <li>
   CI/CD &amp; Automation: Build and manage automated pipelines in GitLab CI or Jenkins, and use Ansible to eliminate manual configuration and drift.
  </li>
  <li>
   Container Orchestration: Manage the full lifecycle of containerized applications using Docker and Kubernetes.
  </li>
  <li>
   Hybrid Systems: Perform administration and automated deployments across Linux and Windows environments using Python or Bash.
  </li>
  <li>
   Networking &amp; Connectivity: Design, secure, and troubleshoot cloud networking components including VPCs, Subnets, Route53, and Load Balancers.
  </li>
  <li>
   AI Integration: Implement and support infrastructure for AI/ML workloads and utilize AI-powered tools to enhance system monitoring and automated incident response
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 4&ndash;6 years in Cloud and DevOps Engineering roles.
  </li>
  <li>
   Cloud Platform: Hands-on expertise with AWS (specifically EKS, EC2, RDS, S3, and Secrets Manager)
  </li>
  <li>
   Infrastructure as Code: Proven ability to manage production stacks using Terraform.
  </li>
  <li>
   Networking Fundamentals: Deep understanding of VPC peering, DNS, Load Balancing, and network security protocols.
  </li>
  <li>
   Containers: Proficiency in Docker and Kubernetes (running and troubleshooting clusters).CI/CD &amp; Config: Solid experience with GitLab CI / Jenkins and Ansible.
  </li>
  <li>
   AI Exposure: Practical experience or strong knowledge in supporting AI infrastructure (e.g., GPU instances, model deployment pipelines) or using AI tools to improve productivity
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Kubernetes Ecosystem: Working with Helm or Kustomize for manifest management.
  </li>
  <li>
   Security: Solid understanding of AWS IAM, security groups, and encryption at rest/transit.
  </li>
  <li>
   Observability: Hands-on experience with Datadog, Prometheus, or Grafana.
  </li>
  <li>
   Enterprise Logging: Familiarity with SignalFX or Splunk is a plus.
  </li>
  <li>
   Certifications: AWS Certified Solutions Architect or CKA (Certified Kubernetes Administrator)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Rackspace Technology
  <br/>
  <br/>
 </strong>
 We are the multicloud solutions experts. We combine our expertise with the world&rsquo;s leading technologies &mdash; across applications, data and security &mdash; to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 <br/>
 <br/>
 <strong>
  More on Rackspace Technology
  <br/>
  <br/>
 </strong>
 Though we&rsquo;re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
</div>


Cloud & DevOps Engineer (Egypt Residency Required)

<div>
 We are looking for a highly skilled and motivated DevOps Engineer to join our engineering team. In this role, you will be responsible for building, maintaining, and scaling the infrastructure and CI/CD pipelines that power our mobile applications. You&rsquo;ll work closely with mobile developers, QA, and cloud engineering teams to ensure seamless integration, fast delivery, and operational excellence. This role is open to remote workers but you must be located within Egypt
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage and maintain central build systems for mobile platforms (iOS and Android)
  </li>
  <li>
   Develop and maintain CI/CD pipelines to automate build, test, and deployment processes
  </li>
  <li>
   Design and maintain infrastructure using Terraform and Kubernetes
  </li>
  <li>
   Monitor and improve system performance, reliability, scalability, and security on cloud platforms (AWS, GCP)
  </li>
  <li>
   Collaborate with engineering teams to support agile software development practices
  </li>
  <li>
   Troubleshoot complex issues across the entire DevOps stack &ndash; from networking to application code
  </li>
  <li>
   Implement and maintain observability tooling (monitoring, logging, alerting)
  </li>
  <li>
   Optimize cloud networking configurations including VPCs, subnets, and security groups
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.Sc. in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience
  </li>
  <li>
   5+ years of experience administering centralized mobile build servers (e.g., Jenkins, Bitrise, CircleCI, GitHub Actions)
  </li>
  <li>
   5+ years of experience in software development with solid understanding of OOP and design patterns
  </li>
  <li>
   5+ years of hands-on experience with cloud platforms such as AWS and/or GCP
  </li>
  <li>
   5+ years of experience managing infrastructure with Terraform
  </li>
  <li>
   Strong understanding of cloud architecture and infrastructure best practices
  </li>
  <li>
   Proficiency in scripting languages such as Bash, Ruby, or Groovy
  </li>
  <li>
   Solid knowledge of CI/CD practices and tooling
  </li>
  <li>
   Hands-on experience with Git/GitHub
  </li>
  <li>
   Familiarity with agile development methodologies
  </li>
  <li>
   Experience with observability tools (e.g., Splunk, ELK, Prometheus, Grafana)
  </li>
  <li>
   Excellent communication and cross-functional collaboration skills
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with MLOps, model serving, or big data pipeline integration
  </li>
  <li>
   Experience supporting mobile-specific tooling (e.g., Fastlane, Gradle, Xcode build tools)
  </li>
  <li>
   Experience running and maintaining Kubernetes clusters
  </li>
  <li>
   Familiarity with secure app deployment practices and mobile release automation
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Mobile DevOps Engineer

Sarmad

<div><p>Sarmad is on the lookout for a <b>Senior DevOps Engineer</b> who will play a pivotal role in optimizing our development and operational processes. This position is ideal for someone who thrives in a collaborative environment and is passionate about utilizing cutting-edge technology to streamline workflows. If you have a strong background in DevOps practices and are eager to lead initiatives that drive efficiency, we want you on our team!</p><br>
<p></p>
Key Responsibilities:<ul>
<li>Design and implement robust CI/CD pipelines to automate processes.</li>
<li>Oversee cloud infrastructure, ensuring scalability and security.</li>
<li>Collaborate closely with development teams to enhance system performance and reliability.</li>
<li>Automate deployment processes and system monitoring.</li>
<li>Provide technical guidance and mentorship to junior team members.</li>
<li>Conduct regular system audits and performance tuning.</li>
<li>Document infrastructure and process workflows effectively.</li>
<li>Respond to and troubleshoot multiple production environments during on-call duties.</li><br>
</ul><br>
<br>
<b>Requirements</b><br>
<ul><li>
Minimum of 4 years of experience in a DevOps or similar role.</li><li>
Proficiency in cloud services such as AWS, Azure, OCI or GCP.</li><li>
Experience with container orchestration (Docker, Kubernetes).</li><li>
Familiarity with CI/CD tools like Jenkins, ArgoCD, GitLab, or CircleCI.</li><li>
Knowledge of Infrastructure as Code principles using Terraform, CloudFormation, or Ansible.</li><li>
Strong scripting skills in languages such as Python, Ruby, or Bash.</li><li>
Experience with monitoring and logging solutions (e.g., ELK Stack, Sentry, Datadog, New Relic, etc...).</li><li>
Solid experience in DevSecOps (concept and tools).</li><li>
Solid understanding of networking concepts and protocols.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Bachelor's degree in Computer Science, Engineering, or a relevant field.</li></ul><br>
<b>
Benefits</b><br>
<ul>
<li>Hybrid work model</li>
<li>Healthy working environment</li>
<li>Medical Insurance</li>
<li>Social Insurance</li></ul></div>

Senior Devops Engineer

<div><div><div>As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies &ndash; from migration strategy to operational excellence and immersive transformation.
</div><div>If you like a challenge, you&rsquo;ll love it here, because we&rsquo;re solving complex business problems every day, building and promoting great technology solutions that impact our customers&rsquo; success. The best part is, we&rsquo;re committed to you and your growth, both professionally and personally.</div><div></div><div><b><br>
Overview</b></div><div>
We&rsquo;re looking for a talented and driven Full Stack Engineer to join our dynamic team and help design, build, and scale modern, cloud-based software solutions. In this role, you&rsquo;ll work across the stack using Node, React, Angular, Python, and AWS, contributing to both backend and frontend development in a fast-paced, Agile environment. You'll have the opportunity to lead technical decisions, mentor peers, and shape scalable architecture using microservices, containerization (Docker/ECS), API Gateway, and Infrastructure-as-Code (Terraform). If you thrive on collaboration, continuous learning, and building robust solutions that make an impact, we&rsquo;d love to hear from you.</div><div>
If you get a thrill working with cutting-edge technology and love to help solve customers&rsquo; problems, we&rsquo;d love to hear from you. It&rsquo;s time to rethink the possible. Are you ready?</div></div>
<div><div><h3 class="jobSectionHeader"><b>What you'll be doing:</b></h3><ul><li><ul><li>
Proficient in <b>React.js</b>, <b>Next.js</b>, and <b>TypeScript</b> for building responsive, scalable web interfaces.</li><li>
Skilled in <b>HTML5</b>, <b>CSS3</b>, <b>JavaScript (ES6+)</b>, and <b>Tailwind CSS</b> or <b>Material UI</b>.</li><li>
Experience with <b>state management</b> (Redux, Context API, or Zustand) and <b>component-driven development</b>.</li><li>
Strong experience with <b>Node.js</b> and <b>Express.js</b> for building RESTful APIs and microservices.</li><li>
Proficient in <b>Python (Flask / FastAPI / Django)</b> for backend logic, automation, and API development.</li><li>
Skilled in designing <b>serverless applications</b> and integrating backend services with frontend applications</li><li>
Hands-on experience with <b>AWS Lambda</b>, <b>API Gateway</b>, <b>Cognito</b>, <b>S3</b>, <b>DynamoDB</b>, <b>RDS</b>, <b>CloudFormation</b>, and <b>CloudWatch</b>.</li><li>
Familiar with <b>IAM</b>, <b>VPC</b>, and <b>Networking</b> concepts for secure, scalable deployments.</li><li>
CI/CD using <b>AWS CodePipeline</b>, <b>GitHub Actions</b>, or <b>Jenkins</b>.</li><li>
Knowledge of <b>containerization</b> and orchestration using <b>Docker</b> and <b>AWS ECS/EKS</b>.</li><li>
Proficient with <b>SQL</b> (PostgreSQL, MySQL) and <b>NoSQL</b> (MongoDB, DynamoDB).</li><li>
Knowledge of <b>data modeling</b>, <b>query optimization</b>, and <b>ORMs</b> (SQLAlchemy, Prisma, or Sequelize).</li><li>
Experience with <b>unit</b>, <b>integration</b>, and <b>end-to-end testing</b> using tools like <b>Jest</b>, <b>PyTest</b>, or <b>Cypress</b>.</li><li>
Strong understanding of <b>CI/CD pipelines</b>, <b>automated testing</b>, and <b>code quality standards</b>.</li><li>
Proficient with <b>Git</b>, <b>GitHub</b>, and <b>GitFlow</b> workflows.</li><li>
Experience working in <b>Agile / Scrum</b> teams with tools like <b>Jira</b>, <b>Confluence</b>, and <b>Teams</b>.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications &amp; Skills:</b></h3><ul><li><ul><li>
Bachelor&rsquo;s degree in <b>Computer Science</b>, <b>Software Engineering</b>, or related field (or equivalent experience).</li><li><b>
3&ndash;7+ years</b> of experience developing full-stack applications using <b>Python</b>, <b>Node.js</b> and <b>React</b>.</li><li>
Proven experience deploying, maintaining, and monitoring applications on <b>AWS</b>.</li><li>
Strong understanding of <b>software architecture</b>, <b>API design</b>, and <b>security best practices</b>.</li><li>
Excellent problem-solving, debugging, and optimization skills.</li><li>
Strong communication skills and ability to collaborate with cross-functional teams.</li><li>
Experience with <b>GraphQL</b>, <b>Serverless Framework</b>, or <b>Terraform</b>.</li><li>
Familiarity with <b>AWS CDK</b>, <b>EventBridge</b>, and <b>Step Functions</b>.</li><li>
Knowledge of <b>microservices architecture</b> and <b>event-driven systems</b>.</li><li>
Exposure to <b>machine learning APIs</b> or <b>data pipelines</b> in AWS (SageMaker, Glue, Athena).</li></ul></li></ul></div></div>
<div><div>#LI-JB2</div><div>
#LI-Remote</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Full Stack Engineer (AWS)

VOIS

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 <br/>
 <br/>
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next‑generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry‑first model which brings together the best of in‑house and 3rd party capability.
 <br/>
 <br/>
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 <br/>
 <br/>
 #VOIS #BeUnrivalled #CreateTheFuture
 <br/>
 <br/>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 We are seeking an AI &amp; Automation Engineer to design, deliver, and govern AI‑driven and automation‑based frameworks that accelerate software delivery for Mobile Core Network Functions across multi‑cloud environments. The individual will define integration standards, ensure Responsible AI compliance, enhance platform reliability, and support global markets by enabling faster, scalable, and secure deployment cycles.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and maintain AI and automation reference architectures, integration standards, and technology choices across AWS, GCP, and Vodafone Private Cloud environments
  </li>
  <li>
   Build and operate CI/CD and GitOps pipelines using tools such as GitHub Actions, Jenkins, Argo CD / Flux CD, and Kubernetes‑based platforms
  </li>
  <li>
   Govern Responsible AI practices, ensuring data privacy, model transparency, and secure deployment of GenAI solutions, including PEFT and RAG‑based approaches
  </li>
  <li>
   Lead observability initiatives by defining KPIs, implementing dashboards, and enabling proactive monitoring using Prometheus, Grafana, and cloud‑native tools
  </li>
  <li>
   Collaborate with product and domain teams to prioritise automation and AI use cases, guide vendor integrations, and mentor engineers while fostering continuous improvement
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Skilled in CI/CD, GitOps, Kubernetes, and multi‑cloud delivery using infrastructure‑as‑code tools including Ansible, Terraform, and Helm
  </li>
  <li>
   Experienced in AI/ML engineering with strong proficiency in Python, transformers/LLMs, MLOps, vector databases, and production model deployment
  </li>
  <li>
   Knowledgeable in telecom domains and networking concepts, with practical exposure to mobile core technologies and security best practices
  </li>
  <li>
   Strong communicator with proven leadership capability, experienced in Agile/DevSecOps ways of working, stakeholder management, and continuous improvement
  </li>
  <li>
   Adept in designing highly observable, scalable, and resilient platforms using modern monitoring and analytics tooling
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Not a perfect fit?
  <br/>
  <br/>
 </strong>
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 <br/>
 <br/>
 <strong>
  What's In It For You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunities to work with cutting‑edge AI, ML, and automation technologies across multi‑cloud and telecom environments
  </li>
  <li>
   Exposure to global markets, stakeholders, and vendor ecosystems, enabling continuous professional growth
  </li>
  <li>
   Development pathways through certifications in cloud, Kubernetes, DevOps, and Responsible AI frameworks
  </li>
  <li>
   A collaborative environment focused on innovation, continuous improvement, and advanced engineering practices
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Skills You Will Learn
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced multi‑cloud architecture, GitOps, and platform engineering capabilities
  </li>
  <li>
   Practical implementation of Responsible AI, privacy frameworks, and secure ML deployment techniques
  </li>
  <li>
   Enhanced proficiency in automation at scale, observability engineering, and performance optimisation
  </li>
  <li>
   Broader understanding of telecom network functions, cross‑market delivery, and global customer impact
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  VOIS Equal Opportunity Employer Commitment
  <br/>
  <br/>
 </strong>
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio‑economic background.
 <br/>
 <br/>
 <strong>
  Join Us
  <br/>
  <br/>
 </strong>
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 <br/>
 <br/>
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 <br/>
 <br/>
 With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 <br/>
 <br/>
 <strong>
  Alert
  <br/>
  <br/>
 </strong>
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 <br/>
 <br/>
 #JDEnhancedByTARA
 <br/>
 <br/>
 <strong>
  Follow us on social media and #StayConnected
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   LinkedIn: https://www.linkedin.com/company/vois/
  </li>
  <li>
   Facebook: https://www.facebook.com/voisglobal
  </li>
  <li>
   Instagram: https://www.instagram.com/voisglobal/
  </li>
  <li>
   Chat with our employees: https://lnkd.in/dpkrcvR2
  </li>
 </ul>
</div>


Senior AI & Automation Engineer (VOIS)

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Role Purpose</b></h2>
</div><div><p>
We are seeking an experienced Cloud Architect to join our growing cloud services department. The ideal candidate will be responsible for designing and building scalable, secure, and cost-effective cloud solutions for clients. This role involves pitching cloud solutions&mdash;whether our own infrastructure or partner services like AWS, Azure, and Google Cloud (GCP)&mdash;to prospective clients and guiding them through the architecture design process.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities &amp; Decision Ownership</b></h2>
</div><div><ul><li>Design and development of comprehensive cloud architecture solutions tailored to customer needs</li><li>
Work with clients to assess their current infrastructure, identify requirements, and propose cloud-based solutions</li><li>
Build hybrid or multi-cloud architectures integrating AWS, Azure, GCP, and our own infrastructure</li><li>
Engage in customer workshops, discussions, and consultations to gather technical and business requirements, and pitch cloud solutions accordingly</li><li>
Act as a trusted cloud advisor, helping clients understand cloud options and navigate the complexities of cloud migration, while recommending best cloud architecture, and optimization</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications
</b></h2></div><div><p><b>Core competencies, Knowledge &amp; Experience:</b></p><ul><li>
Strong knowledge of cloud services, including IaaS, PaaS, SaaS, containers, and serverless architecture.</li><li>
Excellent communication and stakeholder management skills, with the ability to collaborate effectively with teams and stakeholders.</li><li>
Stay updated on the latest cloud technologies and trends, advising on continuous improvements and innovations</li><li>
Strong problem-solving and analytical skills.</li><li>
Ability to manage multiple projects and deadlines</li></ul><p><b>
Language requirements:</b></p><ul><li>
English (B2 or above)</li><li>
Any other non-native language an advantage</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Technical/Professional Qualifications</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
Hands-on experience with at least 2 of (AWS, Azure, VMware, GCP, and Openstack); multi-cloud experience is highly desirable.</li><li>
Proven experience as a Cloud Architect or similar role, with a strong track record in designing cloud solutions.</li><li>
Experience in technical consulting with a focus on cloud solutions. Highly independent, takes ownership and seeks feedback and execute actions.</li><li>
Familiarity with DevOps practices and automation tools like Terraform, Ansible, or Jenkins.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

Cloud Architecture Lead

Appgain

<p>APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul><p>Job Type: Full-time / On site</p><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI Engineer: 2 years (Preferred)</li><li>Python : 2 years (Preferred)</li><li>machine learning algorithms :: 2 years (Preferred)</li><li>big data technologies : 2 years (Preferred)</li></ul><p>Location:</p><ul><li>Giza (Preferred)</li></ul>

AI Engineer

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