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senior cloud engineer aws

ZainTECH

<div>
 The Senior Cloud Engineer &ndash; AWS (L3) is a senior technical role responsible for leading complex troubleshooting, conducting architectural reviews, and delivering high-impact cloud solutions for enterprise customers. The role combines deep AWS expertise with strong customer engagement to resolve critical issues, enhance performance, and ensure alignment with best practices. The role also plays a key part in mentoring junior engineers, strengthening support capabilities, and contributing to the continuous improvement and technical direction of the support organization.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead complex technical investigations and architectural reviews
 </li>
 <li>
 Serve as the subject matter expert in a specialized domain (containers/kubernetes, serverless, networking, security, or data/analytics)
 </li>
 <li>
 Drive technical solutions for enterprise customers
 </li>
 <li>
 Create technical content, including white papers and best practices
 </li>
 <li>
 Mentor L1 and L2 engineers and conduct training sessions
 </li>
 <li>
 Collaborate with product teams on feature requests and improvements
 </li>
 <li>
 Represent the support organization in technical discussions with customers
 </li>
 <li>
 Contribute to the technical direction of the support organization
 </li>
 <li>
 Lead customer Well-Architected Reviews
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or related field
 </li>
 <li>
 5+ years of experience with AWS services in another MSP or vendor support role
 </li>
 <li>
 AWS Solutions Architect Professional certification
 </li>
 <li>
 AWS Specialty certification in area of expertise (Advanced Networking, Security, Data Analytics, or DevOps Professional)
 </li>
 <li>
 Deep expertise in specialized domain area:
 </li>
 <li>
 Container specialization: Expert knowledge of EKS, ECS, Docker, and Kubernetes
 </li>
 <li>
 Serverless specialization: Expert knowledge of Lambda, API Gateway, DynamoDB, and event-driven architectures
 </li>
 <li>
 Networking specialization: Expert knowledge of VPC, Transit Gateway, Direct Connect, and hybrid architectures
 </li>
 <li>
 Experience leading technical projects and mentoring teams
 </li>
 <li>
 Strong system design and architecture skills
 </li>
 <li>
 Advanced troubleshooting and performance optimization capabilities
 </li>
 <li>
 Experience working with enterprise customers
 </li>
 </ul>
</div>

Senior Cloud Engineer - AWS

<div>
 The Senior Cloud Engineer - AWS (L3) is a senior technical role responsible for leading complex troubleshooting, conducting architectural reviews, and delivering high-impact cloud solutions for enterprise customers. The role combines deep AWS expertise with strong customer engagement to resolve critical issues, enhance performance, and ensure alignment with best practices. The role also plays a key part in mentoring junior engineers, strengthening support capabilities, and contributing to the continuous improvement and technical direction of the support organization.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead complex technical investigations and architectural reviews
 </li>
 <li>
 Serve as the subject matter expert in a specialized domain (containers/kubernetes, serverless, networking, security, or data/analytics)
 </li>
 <li>
 Drive technical solutions for enterprise customers
 </li>
 <li>
 Create technical content, including white papers and best practices
 </li>
 <li>
 Mentor L1 and L2 engineers and conduct training sessions
 </li>
 <li>
 Collaborate with product teams on feature requests and improvements
 </li>
 <li>
 Represent the support organization in technical discussions with customers
 </li>
 <li>
 Contribute to the technical direction of the support organization
 </li>
 <li>
 Lead customer Well-Architected Reviews
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or related field
 </li>
 <li>
 5+ years of experience with AWS services in another MSP or vendor support role
 </li>
 <li>
 AWS Solutions Architect Professional certification
 </li>
 <li>
 AWS Specialty certification in area of expertise (Advanced Networking, Security, Data Analytics, or DevOps Professional)
 </li>
 <li>
 Deep expertise in specialized domain area:
 </li>
 <li>
 Container specialization: Expert knowledge of EKS, ECS, Docker, and Kubernetes
 </li>
 <li>
 Serverless specialization: Expert knowledge of Lambda, API Gateway, DynamoDB, and event-driven architectures
 </li>
 <li>
 Networking specialization: Expert knowledge of VPC, Transit Gateway, Direct Connect, and hybrid architectures
 </li>
 <li>
 Experience leading technical projects and mentoring teams
 </li>
 <li>
 Strong system design and architecture skills
 </li>
 <li>
 Advanced troubleshooting and performance optimization capabilities
 </li>
 <li>
 Experience working with enterprise customers
 </li>
 </ul>
</div>

HireOn

<div>
 
 Senior Data Engineer
 
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Experience:
 
 8&ndash;12 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 160,000 EGP per month
 
 
 
 The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a
 
 Senior Data Engineer
 
 to lead the architecture and delivery of enterprise-grade data platforms.
 
 
 This role goes beyond pipeline development &mdash; it requires ownership of scalable architecture, performance optimization, governance, and cross-functional collaboration. The ideal candidate is a hands-on senior engineer capable of designing robust cloud-native data ecosystems while mentoring engineers and driving technical standards.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 End-to-end design of batch and real-time data pipelines
 </li>
 <li>
 Enterprise data warehouse architecture and modeling strategy
 </li>
 <li>
 Workflow orchestration and automation frameworks
 </li>
 <li>
 Performance tuning and cost optimization initiatives
 </li>
 <li>
 Data governance, cataloging, and access control frameworks
 </li>
 <li>
 Monitoring, logging, and observability implementation
 </li>
 <li>
 Technical mentorship and architecture reviews
 
 
 </li>
 </ul>
 
 Technical Environment
 
 
 
 You will work extensively with modern cloud-native data technologies including:
 
 
 AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon EC2, Amazon CloudWatch, AWS DataZone
 
 
 
 Core Expertise Required In
 
 
 
 Python, Advanced SQL, Data Warehousing (Star/Snowflake), ETL/ELT best practices, Distributed Data Processing Systems
 
 
 
 What Makes You a Strong Fit
 
 
 
 <ul>
 <li>
 8&ndash;12 years of experience in Data Engineering
 </li>
 <li>
 Strong experience designing scalable cloud-based data architectures
 </li>
 <li>
 Proven ability to independently drive technical solutions
 </li>
 <li>
 Experience mentoring engineers and contributing to architectural decisions
 </li>
 <li>
 Strong communication skills for cross-functional collaboration
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Cloud Professional Certifications
 </li>
 <li>
 Experience with streaming platforms (Kinesis/Kafka)
 </li>
 <li>
 Exposure to metadata management and data lineage
 </li>
 <li>
 Experience working with enterprise-scale data platforms
 
 
 </li>
 </ul>
 Skills: aws glue,etl,amazon redshift,aws lambda,aws emr,snowflake
</div>

Senior Data Engineer (Onsite | Cairo, Egypt)

NorthBay Solutions

<div>
 
 
 Senior MLOps Engineer &ndash; AWS
 
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 &nbsp;Cairo, Egypt (Onsite Role)
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled and hands-on
 
 Senior MLOps Engineer
 
 with strong AWS expertise to support the deployment, automation, and monitoring of machine learning models in production. The ideal candidate will collaborate closely with Data Science and Engineering teams to operationalize ML models using cloud-native best practices.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement end-to-end MLOps pipelines from data ingestion to model deployment
 </li>
 <li>
 Deploy and manage ML models using AWS-native services such as SageMaker
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, performance tracking, and basic drift detection
 </li>
 <li>
 Containerize ML workloads using Docker and deploy on EKS/ECS
 </li>
 <li>
 Support infrastructure automation using Terraform or CloudFormation
 </li>
 <li>
 Ensure scalability, availability, and security of ML systems
 </li>
 <li>
 Collaborate with cross-functional teams to productionize ML solutions
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 MLOps &amp; Machine Learning
 
 
 <ul>
 <li>
 5&ndash;7 years of overall experience with at least 3+ years in MLOps or ML production environments
 </li>
 <li>
 Experience managing ML lifecycle (training, deployment, monitoring)
 </li>
 <li>
 Hands-on experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experience with MLflow or similar experiment tracking tools
 </li>
 </ul>
 
 AWS Cloud (Mandatory)
 
 <ul>
 <li>
 Hands-on experience with:
 <ul>
 <li>
 Amazon SageMaker
 </li>
 <li>
 S3, EC2, Lambda
 </li>
 <li>
 IAM, CloudWatch
 </li>
 <li>
 ECR, ECS or EKS
 </li>
 </ul>
 </li>
 <li>
 Understanding of secure and scalable AWS architecture
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 </ul>
 
 Programming &amp; Data
 
 <ul>
 <li>
 Strong Python programming skills
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Basic understanding of ML governance and compliance
 </li>
 </ul>
</div>

Senior MLOps Engineer – AWS

NorthBay - Pakistan

<div>
 
 Experience:
 
 5&ndash;7 Years
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Position Overview
 
 
 
 We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain batch and real-time data pipelines on AWS
 </li>
 <li>
 Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services
 </li>
 <li>
 Assist in workflow orchestration using Apache Airflow (MWAA)
 </li>
 <li>
 Support serverless data processing using AWS Lambda
 </li>
 <li>
 Participate in designing data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Design and manage data storage strategies with Amazon S3 and DynamoDB
 </li>
 <li>
 Apply data governance and access controls using AWS DataZone
 </li>
 <li>
 Monitor and troubleshoot data platform issues using Amazon CloudWatch
 </li>
 <li>
 Collaborate with Analytics, BI, Data Science, and Business teams
 </li>
 <li>
 Write clean, efficient code, and perform peer code reviews
 </li>
 <li>
 Follow security, compliance, and data governance standards
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Data Engineering or related roles
 </li>
 <li>
 3+ years of hands-on experience designing data solutions on AWS
 </li>
 <li>
 Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Advanced SQL skills with performance tuning expertise
 </li>
 <li>
 Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
 </li>
 <li>
 Familiarity with Agile/Scrum delivery environments
 </li>
 <li>
 Problem-solving and analytical skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
 </li>
 <li>
 Experience with real-time streaming (Kinesis, Kafka)
 </li>
 <li>
 Exposure to data governance and metadata management tools
 </li>
 <li>
 Knowledge of cost optimization in AWS
 </li>
 </ul>
</div>

Senior Data Engineer – AWS

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

Valeo

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

Senior DevOps Engineer, AI4ALL

Explore 493+ Senior cloud engineer aws in Cairo this March. Find roles across top companies and apply now to boost your career.

493 senior cloud engineer aws jobs In Cairo

Senior Cloud Engineer - AWS

Senior Cloud Engineer - AWS

Senior Data Engineer (Onsite | Cairo, Egypt)

Senior MLOps Engineer – AWS

Senior Data Engineer – AWS

Senior Java Software Engineer

Senior DevOps Engineer, AI4ALL