cloud & devops engineer (egypt residency required)

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

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full stack engineer aws

Rackspace Technology

<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> 
Overview</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">What you'll be doing:</h3><ul><li><ul><li>
Proficient in React.js, Next.js, and TypeScript for building responsive, scalable web interfaces.</li><li>
Skilled in HTML5, CSS3, JavaScript (ES6+), and Tailwind CSS or Material UI.</li><li>
Experience with state management (Redux, Context API, or Zustand) and component-driven development.</li><li>
Strong experience with Node.js and Express.js for building RESTful APIs and microservices.</li><li>
Proficient in Python (Flask / FastAPI / Django) for backend logic, automation, and API development.</li><li>
Skilled in designing serverless applications and integrating backend services with frontend applications</li><li>
Hands-on experience with AWS Lambda, API Gateway, Cognito, S3, DynamoDB, RDS, CloudFormation, and CloudWatch.</li><li>
Familiar with IAM, VPC, and Networking concepts for secure, scalable deployments.</li><li>
CI/CD using AWS CodePipeline, GitHub Actions, or Jenkins.</li><li>
Knowledge of containerization and orchestration using Docker and AWS ECS/EKS.</li><li>
Proficient with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).</li><li>
Knowledge of data modeling, query optimization, and ORMs (SQLAlchemy, Prisma, or Sequelize).</li><li>
Experience with unit, integration, and end-to-end testing using tools like Jest, PyTest, or Cypress.</li><li>
Strong understanding of CI/CD pipelines, automated testing, and code quality standards.</li><li>
Proficient with Git, GitHub, and GitFlow workflows.</li><li>
Experience working in Agile / Scrum teams with tools like Jira, Confluence, and Teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Qualifications &amp; Skills:</h3><ul><li><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field (or equivalent experience).</li><li>
3&ndash;7+ years of experience developing full-stack applications using Python, Node.js and React.</li><li>
Proven experience deploying, maintaining, and monitoring applications on AWS.</li><li>
Strong understanding of software architecture, API design, and security best practices.</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 GraphQL, Serverless Framework, or Terraform.</li><li>
Familiarity with AWS CDK, EventBridge, and Step Functions.</li><li>
Knowledge of microservices architecture and event-driven systems.</li><li>
Exposure to machine learning APIs or data pipelines 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)

Sarmad

<div>Sarmad is on the lookout for a Senior DevOps Engineer 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! 

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> 
</ul> 
 
Requirements 
<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> 

Benefits 
<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>
 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
 
 
 
 Key Responsibilities
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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
 
 
 
 </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

<div>
 We are seeking a
 
 Mid-to-Senior Cloud &amp; DevOps Engineer
 
 to own and evolve our cloud infrastructure and automation strategy.
 
 Candidates must be currently residing in Egypt and possess valid local work authorization.
 
 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.
 
 
 
 What You Will Be Doing
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <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)
 
 
 
 </li>
 </ul>
 
 About Rackspace Technology
 
 
 
 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.
 
 
 
 More on Rackspace Technology
 
 
 
 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.
 
 
 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>

Cloud & DevOps Engineer (Egypt Residency Required)

Appgain

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.Responsibilities:<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>Qualifications:<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>Job Type: Full-time / On siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<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>Location:<ul><li>Giza (Preferred)</li></ul>

AI Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and operating security controls using Infrastructure as Code, Kubernetes, and custom security services written in Go and TypeScript.
 
 
 
 Key Responsibilities:
 
 
 
 Secure Cloud Deployment:
 
 
 <ul>
 <li>
 Design, implement, and manage secure cloud deployments across AWS and GCP environments using Terraform.
 </li>
 <li>
 Kubernetes &amp; GitOps Security: Deploy and manage both internal and third‑party security products within the Kubernetes ecosystem.
 </li>
 <li>
 Work with GitOps workflows using tools like Argo CD and Flux, and Helm charts.
 </li>
 <li>
 Security Automation &amp; Tooling: Design and build security tooling and services using Go and TypeScript.
 </li>
 <li>
 Misconfiguration Management: Proactively identify, analyze, and remediate cloud misconfigurations.
 </li>
 <li>
 Cloud Architecture Guidance: Provide guidance to Engineering teams on secure architecture.
 </li>
 <li>
 Threat Detection &amp; Response: Build and optimize cloud-native detection rules and alerting pipelines to monitor for suspicious activities within the cloud and container workloads.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 8+ years of experience in security engineering, cloud security, or platform engineering roles.
 </li>
 <li>
 Hands-on experience securing production workloads in AWS and GCP.
 </li>
 <li>
 Strong experience designing and securing Infrastructure as Code using Terraform.
 </li>
 <li>
 Deep understanding of Kubernetes security, including troubleshooting Helm deployments and GitOps-based workflows.
 </li>
 <li>
 Strong programming skills in Go and TypeScript, with Python used for automation where appropriate.
 </li>
 <li>
 Experience embedding security controls into CI/CD pipelines.
 </li>
 <li>
 Certifications (Required) Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certifications (Preferred) AWS Certified Security
 </li>
 <li>
 Specialty Google Professional Cloud Security Engineer HashiCorp Certified: Terraform Associate
 </li>
 <li>
 Nice-to-Have Experience with Policy-as-Code frameworks such as Open Policy Agent (OPA).
 </li>
 <li>
 Experience securing service mesh environments (Istio). Background in software engineering or platform engineering before moving into security.
 
 
 </li>
 </ul>
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Security Engineer (Bangkok Based, Relocation Support)

Bayantech

<div>
 We are seeking a Senior AI Engineer to lead the design, development, and optimization of advanced AI systems. The ideal candidate has proven experience in LLM fine-tuning, custom model training, and RAG (Retrieval-Augmented Generation), with a strong foundation in machine learning, NLP, and multimodal AI (speech, text, and vision).
 
 
 You will work closely with our R&amp;D team to deliver production-grade AI solutions across projects such as voice AI agents, translation automation, localization platforms, and real-time inference systems. The role also involves mentoring junior engineers and collaborating with backend and DevOps teams to ensure performance, scalability, and deployment reliability.
 
 
 
 Job Description :
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI agents capable of performing autonomous tasks.
 </li>
 <li>
 Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).
 </li>
 <li>
 Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability
 </li>
 <li>
 Implement communication between agents using agent orchestration frameworks.
 </li>
 <li>
 Automate workflows for sales, project management, accounting, and localization.
 </li>
 <li>
 Collaborate with backend and frontend teams to integrate AI services.
 </li>
 <li>
 Conduct prompt engineering and evaluation of model outputs.
 </li>
 <li>
 Ensure the scalability and performance of AI systems in production environments.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 7+ years of experience in AI, NLP, or ML system development.
 
 
 Proven expertise in LLM training and fine-tuning (GPT, LLaMA, Mistral, Falcon, etc.).
 
 
 Hands-on experience with RAG pipelines and vector databases (FAISS, Pinecone, Qdrant, Weaviate).
 
 
 Strong Python skills and proficiency in PyTorch or TensorFlow.
 
 
 Experience building and deploying custom AI models for text or speech.
 
 
 Knowledge of transformer architectures, tokenization, and quantization.
 
 
 Practical use of OpenAI API, Hugging Face, and LangChain.
 
 
 Experience integrating models via FastAPI, Flask, or NestJS microservices.
 
 
 Familiarity with MLOps, Docker, CI/CD, and cloud environments (AWS/GCP/Azure).
 
 
 Strong foundation in deep learning, statistics, and data preprocessing.
 
 
 Excellent communication and leadership skills to guide junior AI engineers.
 
 
 
 Nice to Have:
 
 
 
 Experience with speech models (Deepgram, Whisper, Piper).
 
 
 Familiarity with Twilio, Asterisk, or WebSocket-based AI streaming.
 
 
 Knowledge of localization automation and translation quality scoring.
 
 
 Understanding of LangGraph, CrewAI, or multi-agent frameworks.
 
 
 Exposure to multi-GPU training and on-premise optimization.
</div>

Senior AI Engineer (Hybrid)

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