account team lead, growth – middle east (cairo-based)

senior devops engineer

ai developer

contracts team leader

account manager - cairo

account team lead, growth – middle east (cairo-based) Jobs in Cairo

cloud resiliency architect with english and arabic

Valeo

<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

Intellias

<div>
 
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 
 
 Over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow.
 
 
 
 
 
 
 Project Overview
 
 
 
 We are seeking a highly experienced and hands-on
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 to drive the design, development, and operationalization of enterprise-scale AI systems across both research and production environments.
 
 
 This role combines deep expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities. The ideal candidate will lead complex AI initiatives end-to-end &mdash; from experimentation and research to scalable deployment in global enterprise environments.
 
 
 The position requires a strong balance of:
 
 <ul>
 <li>
 Technical leadership
 </li>
 <li>
 Hands-on implementation
 </li>
 <li>
 AI strategy and innovation
 </li>
 <li>
 Cross-functional collaboration
 </li>
 <li>
 Mentorship and team development
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
 </li>
 <li>
 10+ years of experience in AI/ML, data science, distributed systems engineering, or related domains
 </li>
 <li>
 Proven experience designing and deploying production-grade AI solutions at enterprise scale
 </li>
 <li>
 Strong background in both research-driven and industrial AI environments
 </li>
 <li>
 Experience leading global or distributed technical teams
 </li>
 <li>
 Demonstrated success delivering enterprise AI transformation initiatives
 </li>
 </ul>
 
 
 Technical Expertise
 
 
 
 AI / Machine Learning
 
 <ul>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Generative AI systems
 </li>
 <li>
 NLP / NLU technologies
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Agentic AI workflows and orchestration frameworks
 </li>
 <li>
 AI governance and Responsible AI practices
 </li>
 <li>
 MLOps frameworks and operational AI systems
 </li>
 </ul>
 
 
 Data Engineering &amp; Distributed Systems
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Delta Lake
 </li>
 <li>
 SQL and NoSQL databases
 </li>
 <li>
 Distributed computing architectures
 </li>
 <li>
 Streaming and batch data pipelines
 </li>
 </ul>
 
 
 Cloud &amp; Infrastructure
 
 
 <ul>
 <li>
 Azure and/or AWS
 </li>
 <li>
 Docker and Kubernetes
 </li>
 <li>
 CI/CD pipelines
 </li>
 <li>
 Infrastructure-as-Code (IaC)
 </li>
 <li>
 Cloud-native platform architecture
 </li>
 <li>
 Infrastructure optimization and cloud cost management
 </li>
 </ul>
 
 
 Programming
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Scala
 </li>
 </ul>
 
 
 Additional Qualifications
 
 
 <ul>
 <li>
 Experience building AI platforms serving multiple teams or business units
 </li>
 <li>
 Experience operationalizing AI securely in enterprise environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Ability to translate complex technical concepts into business value
 </li>
 </ul>
 
 
 Responsibilities
 
 
 
 AI Architecture &amp; Strategy
 
 <ul>
 <li>
 Lead the design and implementation of AI/ML solutions across multiple business domains
 </li>
 <li>
 Drive enterprise adoption of LLMs, Generative AI, NLP/NLU, and advanced analytics solutions
 </li>
 <li>
 Define AI architecture standards, MLOps best practices, and scalable deployment strategies
 </li>
 <li>
 Evaluate emerging AI technologies and identify opportunities for innovation and operational impact
 </li>
 <li>
 Translate research initiatives into production-ready AI solutions
 </li>
 </ul>
 
 
 Data &amp; Platform Engineering
 
 
 <ul>
 <li>
 Architect scalable distributed data-processing systems for large-scale datasets and real-time pipelines
 </li>
 <li>
 Design and optimize cloud-native AI platforms using modern data engineering frameworks
 </li>
 <li>
 Lead cloud migration and modernization initiatives from on-premises environments to Azure and/or AWS
 </li>
 <li>
 Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments
 </li>
 <li>
 Ensure reliability, scalability, observability, security, and cost-efficiency of AI infrastructure
 </li>
 </ul>
 
 
 Generative AI &amp; Conversational Systems
 
 
 <ul>
 <li>
 Design and implement enterprise-grade chatbot and conversational AI platforms
 </li>
 <li>
 Lead development of RAG pipelines, agentic workflows, and LLM orchestration systems
 </li>
 <li>
 Define governance, evaluation, monitoring, and safety strategies for GenAI systems
 </li>
 <li>
 Collaborate with research teams to operationalize LLM-based applications securely and responsibly
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead cross-functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders
 </li>
 <li>
 Mentor engineers and researchers on AI/ML best practices, architecture, and software engineering standards
 </li>
 <li>
 Coordinate global AI initiatives across distributed teams and multiple geographies
 </li>
 <li>
 Communicate technical concepts effectively to executive and non-technical audiences
 </li>
 <li>
 Support innovation programs and AI adoption strategies across the organization
 </li>
 </ul>
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to shape enterprise AI strategy at global scale
 </li>
 <li>
 Work on cutting-edge Generative AI and applied ML initiatives
 </li>
 <li>
 International and collaborative engineering environment
 </li>
 <li>
 Access to modern cloud-native and AI technologies
 </li>
 <li>
 Professional growth, leadership exposure, and innovation-driven culture
 </li>
 </ul>
 
 
</div>

Machine learning Architect

SITA

<div>
 
 Overview
 
 
 
 WELCOME TO SITA
 
 
 At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.
 
 
 You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a
 
 Great Place to Work
 
 &reg; by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.
 
 
 Are you ready to love your job?
 
 
 The adventure begins right here, with you, at SITA.
 
 
 
 About The Role &amp; Team
 
 
 
 We are looking for a Senior Cloud Administrator with strong expertise in Microsoft Azure to design, implement, and operate scalable and secure cloud environments. The role combines hands-on administration with architectural thinking, focusing on automation, infrastructure-as-code, and operational excellence.
 
 
 As part of an international engineering team, you will help build and maintain reliable cloud platforms that support modern applications and services across the organization.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, implement, and maintain cloud infrastructure in Microsoft Azure.
 </li>
 <li>
 Administer Azure environments including networking, compute, storage, and identity services.
 </li>
 <li>
 Implement Infrastructure-as-Code using Terraform to ensure reproducible and scalable environments.
 </li>
 <li>
 Automate operational processes and deployment workflows using GitHub and CI/CD pipelines.
 </li>
 <li>
 Design and maintain backup, disaster recovery, and high-availability strategies.
 </li>
 <li>
 Implement and manage monitoring, alerting, and logging solutions to ensure platform reliability.
 </li>
 <li>
 Troubleshoot cloud infrastructure issues and support application teams in resolving operational challenges.
 </li>
 <li>
 Contribute to cloud architecture improvements, security best practices, and cost optimization.
 </li>
 <li>
 Document infrastructure, procedures, and operational standards.
 
 
 </li>
 </ul>
 
 Must-to-Have Skills
 
 
 
 
 WHO YOU ARE
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Microsoft Azure cloud services
 </li>
 <li>
 Experience designing and administering Azure-based infrastructure
 </li>
 <li>
 Solid experience with Terraform and Infrastructure-as-Code practices
 </li>
 <li>
 Experience using GitHub for version control and CI/CD workflows
 </li>
 <li>
 Knowledge of automation and scripting (PowerShell, Bash, or Python)
 </li>
 <li>
 Experience with cloud monitoring and observability tools
 </li>
 <li>
 Experience implementing backup and disaster recovery solutions
 </li>
 <li>
 Strong understanding of networking concepts, security, and identity management in cloud environments
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Experience with Azure DevOps or GitHub Actions
 </li>
 <li>
 Knowledge of container technologies (Docker, Kubernetes, AKS)
 </li>
 <li>
 Experience with cloud security frameworks and compliance
 </li>
 <li>
 Familiarity with cost optimization and FinOps practices
 </li>
 <li>
 Experience working in international distributed teams
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 6+ years of experience in cloud administration, infrastructure engineering, or related roles
 </li>
 <li>
 Proven experience operating and designing Azure-based environments
 </li>
 <li>
 Degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
 </li>
 <li>
 Relevant cloud certifications (e.g., Azure Administrator or Azure Solutions Architect) are a plus
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to work independently and take ownership of infrastructure components
 </li>
 <li>
 Strong communication skills in English
 </li>
 <li>
 Collaborative mindset and ability to work in distributed international teams
 </li>
 <li>
 Proactive approach to automation and continuous improvement
 
 
 </li>
 </ul>
 
 Working Environment
 
 
 
 You will work in a distributed engineering environment with teams located in Germany, Egypt, and Jordan. The role offers opportunities to contribute to modern cloud platforms, automation initiatives, and scalable infrastructure supporting multiple digital products.
 
 
 
 What We Offer
 
 
 
 We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.
 
 
 🏡
 
 Flex Week:
 
 Work from home up to 2 days/week (depending on your team's needs)
 
 
 ⏰
 
 Flex Day:
 
 Make your workday suit your life and plans.
 
 
 🌎
 
 Flex-Location:
 
 Take up to 30 days a year to work from any location in the world.
 
 
 🌿
 
 Employee Wellbeing:
 
 We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.
 
 
 🚀
 
 Professional Development:
 
 At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From
 
 LinkedIn Learning, Microsoft's Enterprise Skills Initiative,
 
 and
 
 Airport Council International
 
 -available to all employees-to specialized solutions like
 
 Pluralsight
 
 for technology upskilling,
 
 Harvard Business Publishing
 
 for people leadership,
 
 Stanford
 
 for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.
 
 
 🙌
 
 Competitive Benefits:
 
 Competitive benefits that make sense with both your local market and employment status.
 
 
 
 SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.
 
</div>

Senior Cloud Administrator Azure (Site Reliability Engineer)

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Software Engineer with strong expertise in backend development to design, build, and maintain scalable, secure, and high-performance software solutions. The ideal candidate has deep experience with Java, Spring Boot, AWS cloud services, containerization technologies, and both relational and NoSQL databases.
 
 
 In this role, you will work closely with cross-functional teams to architect backend systems, develop cloud-based applications, and ensure reliable, scalable production services. This is an excellent opportunity for an experienced backend engineer who enjoys building robust distributed systems and solving complex technical challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, test, and maintain scalable backend applications using Java and Spring Boot
 </li>
 <li>
 Build and enhance RESTful APIs and microservices-based architectures
 </li>
 <li>
 Develop secure, reliable, and high-performing systems for cloud-native environments
 </li>
 <li>
 Build and support applications deployed on AWS
 </li>
 <li>
 Work with containerization technologies such as Docker and orchestration platforms such as Kubernetes
 </li>
 <li>
 Design and optimize data models using relational databases and NoSQL databases
 </li>
 <li>
 Ensure application scalability, performance, maintainability, and reliability
 </li>
 <li>
 Collaborate with product managers, architects, QA engineers, and other developers to deliver high-quality solutions
 </li>
 <li>
 Troubleshoot application issues and perform root cause analysis
 </li>
 <li>
 Apply best practices in security, performance optimization, and software engineering
 </li>
 <li>
 Mentor junior engineers and contribute to engineering standards, code reviews, and technical design discussions
 </li>
 <li>
 Participate in architecture planning and technical decision-making
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or a related field
 </li>
 <li>
 5+ years of professional software development experience, with significant focus on backend engineering
 </li>
 <li>
 Strong hands-on experience with Java and Spring Boot
 </li>
 <li>
 Experience designing and developing microservices and REST APIs
 </li>
 <li>
 Strong experience with AWS services such as:
 </li>
 <li>
 EC2
 </li>
 <li>
 ECS and/or EKS
 </li>
 <li>
 Lambda
 </li>
 <li>
 RDS
 </li>
 <li>
 S3
 </li>
 <li>
 Experience with Docker and container orchestration platforms such as Kubernetes
 </li>
 <li>
 Experience with relational databases such as PostgreSQL, MySQL, or Oracle
 </li>
 <li>
 Experience with NoSQL databases such as MongoDB, DynamoDB, or Cassandra
 </li>
 <li>
 Proficiency with Git and modern development workflows
 </li>
 <li>
 Strong understanding of software design principles, object-oriented programming, and distributed systems
 </li>
 <li>
 Experience with testing frameworks and practices, including unit, integration, and API testing
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with messaging and streaming technologies such as Kafka, RabbitMQ, or SQS/SNS
 </li>
 <li>
 Experience with monitoring and observability tools
 </li>
 <li>
 Knowledge of security best practices for cloud and application development
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 <li>
 Exposure to serverless architectures
 </li>
 <li>
 Experience leading technical projects or mentoring engineering teams
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 Backend Development : Java , Spring Boot , REST APIs , Microservices ,Hibernate / JPA ,Maven / Gradle
 
 
 Cloud &amp; Platform : AWS , Docker , Kubernetes ,Linux
 
 
 Databases : Relational databases: PostgreSQL, MySQL, Oracle. NoSQL databases: MongoDB, DynamoDB, Cassandra. Data modeling
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 #SWSaaS
 
 
</div>

Senior Software Backend Development 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.
 
 
 
 Mission
 
 
 
 The SysOps/SRE Lead is responsible for the implementation, architectural reliability, scalability, and operational health of the R&amp;D infrastructure worldwide. You will bridge the gap between development and operations by defining and applying engineering practices to system administration.
 
 
 As a Lead, you are the owner of the platform&rsquo;s and the architect of the team&rsquo;s operational excellence, ensuring that our global toolchain remains resilient under pressure. while Also planning, organizing, leading and controlling SRE Teams Implementation timeline and standards adherence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Operational Excellence~ Define and manage the On-Call schedules and rotations, ensuring global coverage models are sustainable, fair, and optimized for rapid incident response.
 </li>
 <li>
 Incident Leadership~ Serve as the primary escalation point for critical infrastructure and critical applications production incidents. Lead "Blameless Post-Mortems" to identify root causes and ensure permanent remediation, also manage and investigate normal Application incidents according to the defined SLA/SLO.
 </li>
 <li>
 Health Oversight~ Define, implement and Maintain daily oversight of system health monitors and error budgets. You are expected to identify systemic weaknesses and performance regressions before they impact the end-user.
 </li>
 <li>
 Documentations~ Ensure Excellent documentation of implementations, runbooks, and best practices.
 </li>
 <li>
 Planning~ Drive the definition and planning and implementation of Program Increment (PI) related infrastructure activities. You will translate business requirements into technical roadmaps and ensure the team remains aligned with organizational milestones.
 </li>
 <li>
 Delivery Excellence~ Ensure the team meets defined schedules and technical benchmarks. You will balance the "50/50" SRE split&mdash;ensuring that at least half of the team&rsquo;s capacity is dedicated to engineering improvements rather than reactive toil.
 </li>
 <li>
 Standards &amp; Compliance~ Define and enforce standards for Cloud Center, security patching, and infrastructure-as-code (IaC). You hold the final approval for production readiness.
 </li>
 <li>
 Infrastructure Evolution~ Oversee the design of secure, multi-region AWS environments, focusing on high availability and cost-optimization. by fine tuning Systems/applications/infrastructure resources for best performance, while keeping cost lower
 </li>
 <li>
 Observability Framework~ Standardize our monitoring stack (Prometheus, Grafana, ELK) to move from basic alerting to proactive, functional observability.
 </li>
 <li>
 Mentorship~ Provide technical mentorship to junior and mid-level engineers, fostering a culture of automation, documentation, and continuous improvement.
 </li>
 <li>
 Reporting and Governance~ Define and report KPIs to asses platform health and service level End-2-End.
 
 
 </li>
 </ul>
 
 Qualifications/Technical Skills Required
 
 
 
 <ul>
 <li>
 Excellent knowledge in Windows/Linux Administration
 </li>
 <li>
 Excellent knowledge in AWS Preferred (Or any similar Cloud Providers)
 </li>
 <li>
 Excellent knowledge in Terraform and Ansible
 </li>
 <li>
 Excellent knowledge in Docker or any containerization technology
 </li>
 <li>
 Excellent knowledge in Jenkins
 </li>
 <li>
 Excellent knowledge in Kubernetes
 </li>
 <li>
 Excellent knowledge in observability tools
 </li>
 <li>
 Excellent knowledge in Git (Source control tools)
 </li>
 <li>
 Very Good knowledge in any scripting language for automations
 </li>
 <li>
 very good knowledge in SAFe/agile Methedologies
 </li>
 <li>
 English Language is a must
 </li>
 <li>
 Professional Experience of 8+ years is required
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 R&amp;D DSIS Applications Technical
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-06-01
 
 
 
 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>

SysOps/SRE Lead, GISACC

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 SAP Enterprise Cloud Services (
 
 ECS
 
 ) organization is responsible for providing cloud hosted infrastructure, technical &amp; application managed services to our SAP private cloud customers. The Technical Service Manager (TSM) plays a critical part in helping our customers accelerate their cloud transformation journey and enable them to achieve the business values and outcomes they want from their SAP landscape. This includes analyzing customer&rsquo;s business requirements and problems and working across the SAP Enterprise Cloud Services and other SAP departments to provide quality services to our customers, resolve technical complexities and accompany them throughout their entire cloud transformation journey.
 
 
 
 As Technical Service Manager you will be responsible for the following tasks:
 
 
 
 <ul>
 <li>
 Primary contact for customers for discussions about SAP technology and innovations and serve as an escalation point person for technical issues, service requests and incidents
 </li>
 <li>
 Understand the customer business, goals, and challenges to suggest technical solutions &amp; services
 </li>
 <li>
 Offer comprehensive knowledge on SAP S/4HANA architecture, conversion, migration path, methodology and tools
 </li>
 <li>
 Understand the SAP high availability or disaster recovery architecture, network and virtual technologies (load-balancer, virtual machine)
 </li>
 <li>
 Identify top issues, define &amp; execute service plan activities and orchestrate implementation of technical action items across customer landscapes
 </li>
 <li>
 Design optimal SAP configuration to maximize system performance and availability.
 </li>
 <li>
 Identify and position offerings by SAP that deliver value to the customer.
 
 
 </li>
 </ul>
 
 What Do You Need To Bring
 
 
 
 <ul>
 <li>
 Fluency in English AND Arabic is mandatory. Any other language is an advantage
 </li>
 <li>
 Minimum 10 years of SAP Technical administration and operations of SAP Solutions (preferably in the domain of SAP Basis)
 </li>
 <li>
 Minimum 8 years of experience in a customer-facing role
 </li>
 <li>
 Hands on experience and working knowledge of Unix/Linux flavors, SAP HANA and Sybase data bases
 </li>
 <li>
 Experience in de-escalating critical situations.Solid know-how on SAP Technologies and Products (SAP certification highly beneficial)
 </li>
 <li>
 Hyperscalers certification (AWS, Azure, GCP) is a plus
 </li>
 <li>
 Strong customer orientation with a focus on relationship-, expectation- and de-escalation managemen
 
 
 </li>
 </ul>
 
 Meet your team
 
 
 
 ECS organization is a global organization and the regional TSM team is located across South of Europe, Middle East and Africa. We are highly diverse and positive spirited team. Next to our obsession for customer satisfaction, we value internal knowledge sharing &amp; collaboration as well as make ECS organization a little better every day. We ask for your application to be submitted in English language only.
 
 
 
 #SAPECSCareer
 
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 438650 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
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Senior Technical Service Manager

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 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
 
 
 Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
 
 
 As a
 
 Python Full Stack Developer Manager &ndash;
 
 , you will lead the design, development, and delivery of scalable platforms and services. You will be responsible for technical leadership, team management, and driving the adoption of modern engineering practices while ensuring alignment with business objectives.
 
 Key Responsibilities
 
 <ul>
 <li>
 Lead the design and development of scalable and reliable services using Python.
 </li>
 <li>
 Architect and oversee the development of enterprise-level Web APIs using frameworks such as FastAPI.
 </li>
 <li>
 Drive the integration of AI solutions into existing platforms and services.
 </li>
 <li>
 Provide technical leadership and mentorship to a team of engineers, fostering best practices and continuous improvement.
 </li>
 <li>
 Collaborate with cross-functional teams, including product managers and stakeholders, to define and deliver technical solutions aligned with business needs.
 </li>
 <li>
 Oversee API design and implementation in alignment with TMF standards and OpenAPI specifications.
 </li>
 <li>
 Lead cloud-native development and deployment using Azure PaaS, Kubernetes, and Docker.
 </li>
 <li>
 Ensure high code quality through code reviews, standards enforcement, and performance optimization.
 </li>
 <li>
 Manage CI/CD pipelines, DevOps processes, and platform operations including change management.
 </li>
 <li>
 Drive performance, scalability, and reliability initiatives across systems and services.
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or higher degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 7+ years of experience in building and maintaining scalable platforms and services.
 </li>
 <li>
 Strong proficiency in Python, including developing enterprise-grade applications.
 </li>
 <li>
 Proven experience leading development teams or technical initiatives.
 </li>
 <li>
 Extensive experience in building Web APIs using FastAPI.
 </li>
 <li>
 Strong understanding of system architecture, API design, and distributed systems.
 </li>
 <li>
 Hands-on experience with Azure PaaS, Kubernetes, and Docker.
 </li>
 <li>
 Deep knowledge of REST API development, including TMF standards and OpenAPI specifications.
 </li>
 <li>
 Strong experience with database design and SQL optimization.
 </li>
 <li>
 Experience with Azure DevOps and CI/CD tools integration and operations.
 </li>
 <li>
 Excellent problem-solving, organizational, and decision-making skills.
 </li>
 <li>
 Excellent command of English with ability to communicate effectively with global stakeholders.
 </li>
 </ul>
 
 Preferred Attributes
 
 <ul>
 <li>
 Experience integrating AI/ML solutions into production systems.
 </li>
 <li>
 Knowledge of Machine Learning and Data Science frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strategic thinker with a hands-on leadership approach.
 </li>
 <li>
 Proven ability to manage multiple projects, priorities, and stakeholders.
 </li>
 <li>
 Strong focus on building high-performing teams and fostering innovation.
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Coaching and Feedback, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD) {+ 51 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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ETIC, Full Stack Developer (Python)- Manager

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