ims engineer

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

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

Intellias

<div>
 
 
 Python / AI Engineer (AWS Bedrock, Multi-Agent AI)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Python / AI Engineer
 
 to design, build, and test intelligent multi-agent applications running on
 
 AWS Bedrock
 
 . In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions.
 
 
 You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.
 
 
 
 
 
 
 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
 
 Python / AI Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the development of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as LangGraph, Strands, CrewAI, or equivalent.
 </li>
 <li>
 Build intelligent multi-agent workflows with collaboration and delegation capabilities.
 </li>
 <li>
 Integrate AI agents with AWS Bedrock foundation models and related AWS AI services.
 </li>
 <li>
 Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns.
 </li>
 <li>
 Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability.
 </li>
 <li>
 Build evaluation frameworks using pytest, LangSmith, and other testing and validation tools.
 </li>
 <li>
 Create reusable components, templates, and pattern libraries that accelerate AI application development.
 </li>
 <li>
 Produce clear technical documentation, implementation guides, and engineering best practices.
 </li>
 <li>
 Collaborate with platform, AI, DevOps, and product teams to deliver scalable and production-ready AI solutions.
 </li>
 <li>
 Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency.
 </li>
 <li>
 Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 4+ years of professional Python software development experience.
 </li>
 <li>
 Hands-on experience with at least one modern agent framework such as LangGraph, Strands, Crew AI, or an equivalent framework.
 </li>
 <li>
 Experience implementing multi-agent collaboration and delegation patterns.
 </li>
 <li>
 Experience integrating applications with AWS Bedrock APIs and foundation models.
 </li>
 <li>
 Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE).
 </li>
 <li>
 Experience building automated testing frameworks using pytest and AI evaluation tools such as LangSmith.
 </li>
 <li>
 Experience writing technical documentation and creating reusable engineering assets.
 </li>
 <li>
 Strong understanding of software engineering best practices, code quality, and testing methodologies.
 </li>
 <li>
 Excellent problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with the Strands SDK.
 </li>
 <li>
 Experience with LangSmith tracing, evaluation, and observability.
 </li>
 <li>
 Familiarity with prompt engineering and AI evaluation methodologies.
 </li>
 <li>
 Experience deploying AI applications in AWS cloud environments.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies.
 </li>
 <li>
 Collaborate with experienced architects and AI engineers on innovative cloud-native solutions.
 </li>
 <li>
 Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development.
 </li>
 <li>
 Be part of a team shaping the future of production-grade AI applications at global scale.
 </li>
 </ul>
 
 
 
</div>

Senior Python / AI Engineer (AWS Bedrock, Multi-Agent AI)

<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)

<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>
 
 
 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)

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