full stack software engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software Engineer who can help us build a high performance, scalable e-commerce platform.
 
 
 
 
 You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

Sonata Software

<div>
 
 
 CSA GD Job Description for Windows Server &amp; Client along with SCCM &amp; Intune. (Egypt)
 
 
 
 We are seeking a highly skilled and experienced Platforms Architect to join our team. The ideal candidate will have extensive knowledge and hands-on experience with
 
 Windows Server &amp; Client along with SCCM &amp; Intune. (Above 10 yrs experience with English and Arabic)
 
 
 
 
 Windows Server.
 
 
 
 The Microsoft Platform Engineer (Client, servers and virtualization) Engineer role requires knowledge and experience in a number of the following technologies/areas:
 
 <ul>
 <li>
 Experience with Deployment technologies like WDS, MDT, High Availability technologies like storage Backup Hyper-V.
 </li>
 <li>
 Expertise on Storage SAN NAS DAS understanding of storage stack its architecture.
 </li>
 <li>
 Virtualization (Hyper-V) : Monolithic and Microkernel, Hyper-V ring Architecture.
 </li>
 <li>
 VHD and AVHDX Merging Checking integrity with its differencing chain.
 </li>
 <li>
 Failover, Planned Failover, Test Failure, Unplanned Failover.
 </li>
 <li>
 Hyper-V Migration.
 </li>
 <li>
 Windows as a service with its deployment rings concepts, co-management with MEMCM is an added advantage.
 </li>
 <li>
 Troubleshooting windows updates issues and understanding of Component based servicing.
 </li>
 <li>
 Understanding of Patch Management and experience with Windows Server Update Services (WSUS).
 </li>
 <li>
 Windows Server Operating System knowledge which includes understanding of NTFS/Share Permissions, File Sharing, Performance Monitoring, Event logging, Task Manager, Windows Firewall, User and Group Management.
 </li>
 <li>
 Understanding of WMI and familiarity with WMI queries
 </li>
 <li>
 Active Directory concepts such as Kerberos, LDAP, Sites and Security Groups.
 </li>
 <li>
 Understanding of TCP/IP and other networking services: DNS, WINS, DHCP, Routing.
 </li>
 <li>
 Exceptional Problem-Solving and Communication Skills - Spoken and written English (including technical writing).
 </li>
 </ul>
 
 
 
 
 
 Windows client
 
 
 
 Role type Customer Engineer - CSA Skills Required Broad knowledge of Windows Server &amp; Windows 10 and Windows 11 platforms, including deployment, management, and troubleshooting.
 
 
 Expertise in Windows 365, providing seamless hybrid work environments by integrating with Azure Virtual Desktop.
 
 
 Proficiency in Microsoft Intune for device management, including application deployment, security baselines, and dynamic provisioning.
 
 
 Experience with Windows Hello for Business, Windows Sandbox Management, and Endpoint Analytics for Windows 11.
 
 
 Ability to manage and configure Windows 365 Cloud PCs, ensuring consistent and uninterrupted work experiences.
 
 
 Windows &amp; Cloud Environments Windows 10/11 &ndash; Deployment, configuration, troubleshooting
 
 
 Windows 365 Cloud PC
 
 
 &ndash; Provisioning, optimization, licensing, and performance tuning Entra ID (Azure AD) Hybrid Join &amp; Entra Join
 
 
 &ndash; Configuration and troubleshooting Windows Update for Business (WUFB)
 
 
 &ndash; Update compliance and management LAPS (Local Administrator Password Solution) &amp; Windows LAPS
 
 
 &ndash; Configuration, management, and differences KMS / MAK Licensing / Cloud-based licensing
 
 
 &ndash; For W365 and traditional enterprise activation Virtual Desktop &amp; Cloud Solutions Windows 365 vs. Azure Virtual Desktop (AVD)
 
 
 &ndash; Use case comparison and best practices Networking &amp; Bandwidth Tuning
 
 
 &ndash; Optimizing Cloud PC performance Security &amp; Compliance Microsoft Defender for Endpoint (MDE)
 
 
 &ndash; Security policies, monitoring, and integrations Conditional Access &amp; Device Compliance
 
 
 &ndash; Enforcing security baselines (GPOs, Intune at a high level) BitLocker &amp; Windows Hello for Business
 
 
 &ndash; Encryption and authentication Security Standards &amp; Baselines
 
 
 &ndash; NIST 800-53, Zero Trust principles Application Management &amp; Deployment Winget &amp; MSIX Packaging
 
 
 &ndash; Modern app deployment Microsoft Store for Business (MsFB) Private Store Deprecation
 
 
 &ndash; Transition planning Identity &amp; Authentication Entra AD (Azure AD) &amp; Hybrid Join
 
 
 &ndash; When and how to use them Single Sign-On (SSO) &amp; Multi-Factor Authentication (MFA)
 
 
 &ndash; Securing endpoints RBAC (Role-Based Access Control)
 
 
 &ndash; Ensuring scoped access Networking &amp; Connectivity VPN &amp; Always-On VPN
 
 
 &ndash; Secure remote access Cloud PC Networking
 
 
 &ndash; Latency, bandwidth, and connectivity considerations Wi-Fi Authentication
 
 
 &ndash; 802.1X, certificate-based authentication DNS, DHCP, Firewall Basics
 
 
 &ndash; Endpoint connectivity essentials Monitoring &amp; Troubleshooting Windows Event Logs Perf Logs &amp; Defender Logs
 
 
 &ndash; Digging into issues Performance Monitoring
 
 
 &ndash; Task Manager, Resource Monitor, Sysinternals tools Remote Troubleshooting
 
 
 &ndash; Quick Assist, Remote Desktop Other Essential Skills Problem-Solving Mindset
 
 
 &ndash; Can diagnose and resolve complex issues Scripting &amp; Automation
 
 
 &ndash; PowerShell for automation and remediation Documentation &amp; Knowledge Sharing
 
 
 &ndash; Creating technical guides and best practices Collaboration
 
 
 &ndash; Working cross-functionally with security, networking, and IT teams User-Centric Approach
 
 
 &ndash; Balancing security and usability Optional Skills 8+ years&rsquo; experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting
 
 
 
 SCCM/Intune Customer Engineer
 
 
 
 We are looking for a SCCM/Intune Customer Engineer to provide technical support for Microsoft Endpoint Configuration Manager (SCCM) and Microsoft Intune environments. This role focuses on assisting customers with request resolution, troubleshooting, and day-to-day operational support, helping ensure reliable endpoint management across on-premises and cloud-based devices.
 
 
 Key Responsibilities
 
 
 &bull; Responsibilities include, but are not limited to, the following examples:
 
 
 &bull; Provide Tier 3 support to customers for technical requests related to SCCM and Intune environments.
 
 
 &bull; Proactively review customer concerns and provide recommendations to improve endpoint management, user experience, and policy compliance.
 
 
 &bull; Investigate and resolve requests related to:
 
 
 &bull; - SCCM: application deployment, task sequences, driver packages, software update groups (SUGs), boundaries and boundary groups, distribution point health, and client push installation.
 
 
 &bull; - Intune: device compliance policies, configuration profiles, app protection policies, Autopilot deployment profiles, and co-management setup.
 
 
 &bull; Support mobile device management (MDM) requests, including:
 
 
 &bull; - Enrollment and management of iOS, Android, and Windows 10/11 devices.
 
 
 &bull; - Mobile app deployment via Intune (store apps, LOB apps, and web links).
 
 
 &bull; - Addressing customer requests related to enrollment challenges, access configurations, and policy enforcement across mobile platforms.
 
 
 &bull; Assist customers with transitioning workloads from SCCM to Intune, including Windows Update for Business, endpoint security, and app deployment.
 
 
 &bull; Analyze logs and diagnostics (e.g., CMTrace, Event Viewer, Intune troubleshooting blade, MDM Diagnostic stool) to identify root causes and resolve requests efficiently.
 
 
 &bull; Provide clear, professional technical guidance to customers and internal teams, adjusting communication style based on audience and context.
 
 
 &bull; Document support requests, investigation steps, resolutions, and known best practices.
 
 
 &bull; Collaborate with engineering or escalation teams when advanced troubleshooting or deeper investigation is required.
 
 
 
 
 
 Soft Skills &amp; Presentation skills
 
 
 &bull; Strong communication skills with the ability to translate complex technical topics into simple, customer-friendly language.
 
 
 &bull; Active listening and empathy when engaging with end users or customer teams.
 
 
 &bull; Adaptable and calm under pressure, especially when working with high-impact or time-sensitive support requests.
 
 
 &bull; Excellent time management, prioritization, and follow-through. &bull; Strong sense of ownership and accountability for customer experience and outcomes.
 
 
 &bull; Collaborative mindset with a willingness to work cross-functionally to drive resol
 
 
 
 
 
 Good to have : Azure certifications (Azure Solutions Architect Expert; Azure Security Engineer Associate; Azure Administrator Associate)
 
 
 Understanding of competitor clouds and how they compare to Microsoft solutions.
 
 
 Technical experience with hybrid infrastructures, architecture designs, and technology management.
 
 
 Proven track record in successfully planning, deploying, operating, and optimizing cloud environments.
 
 
 Advanced Microsoft certifications are preferred.
 
</div>

Customer Solutions Architect

Arrow Electronics

<div>
 
 
 Position:
 
 
 
 
 Senior Automotive Software Engineer (Avelabs LLC Egypt)
 
 
 
 
 Job Description:
 
 
 
 
 Avelabs (an Arrow Company), a leading automotive software engineering services provider, is seeking a skilled and motivated Automotive Software Engineer with expertise in AUTOSAR integration to join our dynamic engineering team. The ideal candidate will have extensive experience in AUTOSAR BSW along with a solid understanding of automotive standards like ISO26262 and ASPICE.
 
 
 
 
 Job Description
 
 
 
 
 <ul>
 <li>
 Requirements analysis and embedded software design for the automotive industry.
 </li>
 <li>
 Support and develop complete software architecture.
 </li>
 <li>
 Integrate different AUTOSAR platforms with end customers' applications.
 </li>
 <li>
 Configure embedded basic software components.
 </li>
 <li>
 Develop application software components.
 </li>
 <li>
 Responsible for technical communication with the customers.
 </li>
 <li>
 Provide consultancy and support to customers.
 </li>
 <li>
 Coach other team members and prepare training if needed.
 </li>
 <li>
 Enhance the engineering process for higher efficiency and quality.
 </li>
 <li>
 Propose and work on innovative solutions for the future of automotive technologies.
 </li>
 <li>
 Maintain Avelabs quality standards for project's deliverables.
 </li>
 <li>
 Work in a challenging environment with a real mixed nature of research and development.
 </li>
 <li>
 Set and support together with the team an open and innovative environment.
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 <ul>
 <li>
 3+ years of experience in automotive embedded systems.
 </li>
 <li>
 University degree in Computers or Electronics Engineering.
 </li>
 <li>
 Embedded software architecture design experience.
 </li>
 <li>
 AUTOSAR configuration and integration experience.
 </li>
 <li>
 Excellent embedded C programming skills.
 </li>
 <li>
 Deep knowledge of embedded systems and microcontrollers.
 </li>
 <li>
 Knowledge of communication protocols widely used in the automotive industry, e.g., CAN, LIN, FlexRay.
 </li>
 <li>
 Multicore solutions on embedded systems platforms is a plus.
 </li>
 <li>
 Excellent command of English (written and spoken).
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Maadi Technology Park)
 
 
 
 
 Time Type:
 
 
 
 
 Full time
 
 
 
 
 Job Category:
 
 
 
 
 Engineering Services
</div>

Senior Automotive Software Engineer (Avelabs LLC Egypt)

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as a
 
 Senior AI Software Engineer
 
 . In this role, you will take ownership of the design, development, and deployment of AI-powered web applications that serve our internal teams and global clients. You will lead technical initiatives, define architectural standards, and mentor junior engineers, while working across the full stack from application code to AI integration and cloud infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Application Development:
 
 
 <ul>
 <li>
 Architect and lead the development of scalable, production-grade web applications, primarily using Python (FastAPI) for the backend and React, Next.js, or Vue for the frontend, while remaining adaptable to other technologies based on project scope and requirements.
 </li>
 <li>
 Define and enforce coding standards, design patterns, and architectural best practices across the engineering team to ensure maintainability and scalability.
 </li>
 <li>
 Lead code reviews, provide technical feedback to junior engineers, and actively contribute to building a high-quality engineering culture.
 </li>
 <li>
 Collaborate with stakeholders and product teams to translate business requirements into robust technical solutions, owning features end-to-end.
 </li>
 </ul>
 
 
 
 
 
 AI &amp; LLM Integration:
 
 
 <ul>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability and performance in production.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, and query optimization for large-scale enterprise use cases.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Design and maintain robust REST API integrations with third-party AI services and enterprise SaaS platforms, ensuring data integrity and performance at scale.
 </li>
 <li>
 Implement LLM observability and monitoring strategies to ensure transparency, reliability, and continuous improvement of AI features in production environments.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; DevOps:
 
 
 <ul>
 <li>
 Lead the containerization and cloud deployment of applications, preferably on Google Cloud Platform (GCP) using GKE and Artifact Registry, while remaining open to other cloud environments based on project requirements.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools, applying GitOps principles and automated deployment workflows to ensure reliable and repeatable releases.
 </li>
 <li>
 Own the reliability and performance of production environments, proactively identifying bottlenecks and driving resolution of infrastructure and application issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in software engineering and AI development, with a proven track record of delivering production-grade web applications and AI-powered systems.
 </li>
 <li>
 Strong proficiency in Python and a backend framework (preferably FastAPI), with solid experience in a modern frontend framework such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, and production-grade AI service integration (e.g., OpenAI, Gemini, LangChain or equivalent), including observability and performance monitoring.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform (AWS, Azure, GCP, or equivalent), with familiarity with container orchestration and artifact management services.
 </li>
 <li>
 Proven experience designing and maintaining CI/CD pipelines using GitHub Actions or similar tools, with strong command of GitOps workflows and branching strategies.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate effectively with product teams and non-technical stakeholders.
 </li>
 <li>
 Experience integrating AI outputs into analytical workflows, dashboards, or data pipelines in a client delivery context.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, and embedding model optimization for production environments.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Developer or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

Data Analytics - Sr. Software Engineer with AI background - Cairo

Arrow Components

<div>
 
 Position
 
 
 
 Senior Software Validation Engineer (Avelabs LLC Egypt)
 
 
 
 Job Description
 
 
 
 Avelabs (an Arrow Company), a leading automotive software engineering services provider, is seeking a skilled and motivated Software Validation Engineer with expertise in testing automotive applications to join our dynamic engineering team. The ideal candidate will have extensive experience in automotive testing techniques, along with a solid understanding of automotive standards like AUTOSAR, ISO26262, and ASPICE.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Understand and analyze requirements including identifying any gaps or missing information needed to perform testing activities.
 </li>
 <li>
 Test cases planning, development, and execution (Field and Bench based).
 </li>
 <li>
 Analyze executed test cases and confirm that the software behavior is conforming to the requirements documents.
 </li>
 <li>
 Report findings and bugs to the defect management system.
 </li>
 <li>
 Report major findings (System/software Issues) to customers.
 </li>
 <li>
 Communicate testing project status for Projects and R&amp;D Management and solve conflicts.
 </li>
 <li>
 Perform test automation.
 </li>
 <li>
 Contribute to defining the testing strategy.
 </li>
 <li>
 Conduct technical reviews on testing artifacts for the process, company testing strategy and standards compliance.
 </li>
 <li>
 Review testing related change requests and provide estimates based on related standard estimation models or experience based.
 </li>
 <li>
 Design and deploy test benches according to the customer's requirements.
 </li>
 <li>
 Communicate effectively with other teams and understand the technical aspects.
 </li>
 <li>
 Follow the configuration management process.
 </li>
 <li>
 Maintain Avelabs quality standards for project's deliverables.
 </li>
 <li>
 Suggest and implement innovative solutions for project challenges.
 </li>
 <li>
 Prepare and conduct technical training.
 </li>
 <li>
 Handle customer challenges and other project stakeholder &lsquo;s communications.
 </li>
 <li>
 Highlight opportunities that can increase the scope of the current project tasks.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in automotive validation position.
 </li>
 <li>
 University degree in Computer, Electronics, or Mechatronics Engineering.
 </li>
 <li>
 Strong understanding of software integration testing and software validation.
 </li>
 <li>
 Experience in Embedded systems and Microcontrollers.
 </li>
 <li>
 Experience in automotive electronics products on system/software level.
 </li>
 <li>
 Experience in requirements and testing management (e.g., using DOORS/JIRA).
 </li>
 <li>
 Experience in automotive bus technologies and diagnostics.
 </li>
 <li>
 Experience with Vector tools (CANoe, vTeststudio, CAPL scripting).
 </li>
 <li>
 Experience in communication with customer for requirements analysis and refinement.
 </li>
 <li>
 Strong debugging and analytical skills.
 </li>
 <li>
 Very Good programming skills (C and Python).
 </li>
 <li>
 Test Bench development and deployment is a plus.
 </li>
 <li>
 Experience in working with NI/dSPACE benches is a plus.
 </li>
 <li>
 ISTQB certifications is a plus
 </li>
 <li>
 Excellent command of the English language (written and spoken).
 </li>
 <li>
 German language is a plus.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Maadi Technology Park)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Engineering Services
</div>

Senior Software Validation Engineer (Avelabs LLC Egypt)

Explore 60+ Full stack software engineer in Cairo this July. Find roles across top companies and apply now to boost your career.