senior devops engineer

data engineer

ai engineer - remote

ai platform engineer

analytics engineer ii

cloud operations engineer

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and experienced DevOps Engineer to join our Cloud Operations squad. The ideal candidate will have a strong background in building high-performance, scalable, mission-critical, and secure systems in the cloud to scale our infrastructure further with efficient tools such as Kubernetes and Terraform. You will drive the evolution of major parts of our growing platform, serving millions of customers across multiple countries. You will be joining our amazing and diverse team, learning and helping others to learn something new every day.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable, cost-effective, and reliable systems with technologies such as Kubernetes in GCP cloud environment
 </li>
 <li>
 Improve our CI/CD process and increase the level of automation at Yassir in order to increase our efficiency
 </li>
 <li>
 Play a key role in handling incidents, and support engineering teams with their infrastructure needs
 </li>
 <li>
 Develop infrastructure as code as required
 </li>
 <li>
 Introduce processes, documentation, best practices, and tools that would help our engineering teams be more productive
 </li>
 <li>
 Automate deployment and scaling processes to minimize downtime.
 </li>
 <li>
 Continuously improve infrastructure and processes to increase efficiency and reduce costs.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Technical Skills :
 
 
 
 <ul>
 <li>
 At least 8+ years of experience in a similar role building and maintaining large-scale, distributed infrastructure environments in the cloud
 </li>
 <li>
 Strong experience with Linux administration and scripting languages (Bash, Python, TypeScript, etc)
 </li>
 <li>
 Proven Experience working with Containers and Container Orchestration technologies such as Docker, Kubernetes
 </li>
 <li>
 Proven Experience with configuration management tools such as Terraform, CDK for Terraform, and Pulumi
 </li>
 <li>
 Proven Experience working with cloud infrastructure and services (GCP, AWS, Azure) with at least 1 year of experience building and maintaining services in GCP
 </li>
 <li>
 Previous experience with CI/CD processes
 </li>
 <li>
 Previous experience with Node.js or Python
 </li>
 <li>
 Strong understanding of network protocols and security best practices.
 </li>
 <li>
 Familiar with relational and non-relational database models (MySQL, PostgreSQL, MongoDB, and Redis)
 </li>
 <li>
 Experience with ElasticSearch, LogStash, and Kibana is a plus
 </li>
 <li>
 Experience with Prometheus and Grafana is a plus.
 
 
 
 </li>
 </ul>
 
 Other key skills and traits :
 
 
 
 <ul>
 <li>
 Outstanding written &amp; verbal communication skills
 </li>
 <li>
 Demonstrated ability to prioritize, self-start, contribute under pressure, and meet tight deadlines
 </li>
 <li>
 Highly organized, creative, and critical thinker
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Comfortable working in an entrepreneurial environment
 </li>
 <li>
 Organized and obsessive about details
 </li>
 <li>
 Hard-working, passionate, and looking to embrace the challenge
 </li>
 <li>
 Bachelor's Degree in Computer Science or related field.
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior DevOps Engineer - Financial Services

Intellias

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

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

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

Mindware

<div>
 
 Job Title
 
 
 
 Technical Support Engineer
 
 
 
 Job Scope
 
 
 
 The Technical Support Engineer is responsible to provide high-quality technical assistance to customers and internal teams. The ideal candidate has solid troubleshooting skills, strong communication abilities, and a customer-focused mindset, responsible for diagnosing issues, resolving technical problems, and ensuring smooth system operations.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Provide Level 1 and Level 2 technical support (remote and on-site if required).
 </li>
 <li>
 Troubleshoot hardware, software, and network-related issues.
 </li>
 <li>
 Install, configure, and maintain IT systems and applications.
 </li>
 <li>
 Monitor system performance and ensure availability.
 </li>
 <li>
 Escalate complex issues to senior engineers or vendors when necessary.
 </li>
 <li>
 Document incidents, solutions, and technical procedures.
 </li>
 <li>
 Support system upgrades, patches, and maintenance activities.
 </li>
 <li>
 Assist in implementation and deployment projects.
 </li>
 <li>
 Ensure SLA compliance and timely issue resolution.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in technical support or IT operations.
 </li>
 <li>
 Good understanding of:
 </li>
 <li>
 Networking fundamentals (TCP/IP, DNS, DHCP, VLANs)
 </li>
 <li>
 Active Directory and user management
 </li>
 <li>
 Basic virtualization concepts (VMware / Hyper-V is a plus)
 </li>
 <li>
 Backup and security best practices
 </li>
 <li>
 Experience with ticketing systems.
 </li>
 <li>
 Basic knowledge of cloud platforms (Azure / AWS is a plus)
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Science or any other related field
 
 
 
 Experience
 
 
 
 At least 3 years of relevant experience
 
 
</div>

Technical Support Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior IT Security Compliance Engineer
 
 
 
 Job Description
 
 
 
 The Senior IT Security Compliance Engineer is responsible for developing, maintaining, and advancing the organization&rsquo;s security compliance posture. This role leads security audits, manages compliance frameworks, and ensures the effectiveness of security controls across the organization. The position works closely with cross‑functional stakeholders to support regulatory requirements, customer security inquiries, and continuous security improvements in a SaaS/cloud-based environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, review, and maintain IT security policies, standards, procedures, and guidelines in alignment with industry best practices and regulatory requirements.
 </li>
 <li>
 Lead and coordinate compliance initiatives for security frameworks and standards, including but not limited to ISO 27001, SOC 2, CMMC, NIST, and internal security assessments.
 </li>
 <li>
 Manage audit readiness activities, including documentation preparation, evidence collection, stakeholder coordination, and remediation tracking for internal and external audits.
 </li>
 <li>
 Respond to customer and partner security questionnaires, ensuring accurate, consistent, and timely responses.
 </li>
 <li>
 Conduct periodic security and risk assessments to evaluate the effectiveness of security controls and identify improvement opportunities.
 </li>
 <li>
 Track, manage, and follow up on vulnerability remediation efforts in collaboration with IT, engineering, and operations teams.
 </li>
 <li>
 Prepare and deliver security metrics, compliance reports, and executive-level summaries.
 </li>
 <li>
 Provide security awareness, training, and education to employees to promote a strong security culture across the organization.
 </li>
 <li>
 Support continuous improvement of governance, risk, and compliance (GRC) processes and tooling.
 
 
 </li>
 </ul>
 
 Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Strong knowledge of information security principles, risk management, and compliance frameworks, with a solid understanding of ISO 27001 requirements and controls.
 </li>
 <li>
 Hands-on experience supporting audits and compliance programs for frameworks such as ISO 27001, SOC 2, CMMC, NIST, or similar.
 </li>
 <li>
 GRC-related certification (e.g., CISSP, CISA, CRISC, ISO 27001 Lead Implementer/Lead Auditor) is preferred.
 </li>
 <li>
 Experience working in SaaS or technology-driven environments is highly desirable.
 </li>
 <li>
 Familiarity with cloud computing platforms and cloud security principles.
 </li>
 <li>
 Excellent written and verbal communication skills, with proven ability to produce clear, high-quality security documentation and reports.
 </li>
 <li>
 Minimum of 5 years of professional experience in cybersecurity, information security, or compliance-related roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Information Security, or a related field.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior IT Security Compliance Engineer

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

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