team lead

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)

ariika

<div>
 
 Job Summary
 
 
 
 We are looking for an experienced Warehouse Supervisor to oversee daily warehouse operations and ensure efficient inventory management, team performance, and operational excellence. The ideal candidate has a strong background in warehouse operations within the home furniture industry and is experienced in using Odoo ERP.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Supervise daily warehouse operations, including receiving, storage, put-away, picking, and dispatch.
 </li>
 <li>
 Ensure inventory accuracy through cycle counts and stock control.
 </li>
 <li>
 Manage warehouse transactions using Odoo ERP, including receiving, transfers, delivery orders, and stock adjustments.
 </li>
 <li>
 Lead and supervise warehouse staff while maintaining high productivity and service levels.
 </li>
 <li>
 Monitor warehouse KPIs and drive operational improvements.
 </li>
 <li>
 Ensure compliance with warehouse procedures and health &amp; safety standards.
 </li>
 <li>
 Coordinate with Logistics, Supply Chain, Quality, After Sales, and Customer Service to ensure smooth operations.
 </li>
 <li>
 Resolve operational issues efficiently and support continuous process improvement.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Previous experience in warehouse operations within the home furniture industry is required.
 </li>
 <li>
 Strong hands-on experience using Odoo ERP.
 </li>
 <li>
 Proven experience leading warehouse teams.
 </li>
 <li>
 Strong analytical, reporting, and problem-solving skills.
 </li>
 <li>
 Excellent leadership and communication skills.
 
 
 </li>
 </ul>
 
 نبذة عن الوظيفة
 
 
 
 نبحث عن مشرف مستودع ذو خبرة للإشراف على العمليات اليومية للمستودع وضمان كفاءة إدارة المخزون، وتحقيق أعلى مستويات التشغيل والإنتاجية. يجب أن يمتلك المرشح خبرة في قطاع الأثاث المنزلي، بالإضافة إلى خبرة عملية في استخدام نظام Odoo ERP.
 
 
 
 المسؤوليات
 
 
 
 <ul>
 <li>
 الإشراف على العمليات اليومية للمستودع، بما يشمل الاستلام، التخزين، الترتيب، تجهيز الطلبات، والشحن.
 </li>
 <li>
 ضمان دقة المخزون من خلال الجرد الدوري ومراقبة المخزون.
 </li>
 <li>
 إدارة عمليات المستودع على نظام Odoo ERP، بما في ذلك الاستلام، والتحويلات، وأوامر التسليم، وتسويات المخزون.
 </li>
 <li>
 قيادة فريق المستودع ومتابعة الأداء والإنتاجية اليومية.
 </li>
 <li>
 متابعة مؤشرات الأداء (KPIs) والعمل على تحسين كفاءة التشغيل.
 </li>
 <li>
 الالتزام بإجراءات السلامة وسياسات المستودع.
 </li>
 <li>
 التنسيق مع أقسام اللوجستيات، وسلسلة الإمداد، والجودة، وخدمة ما بعد البيع، وخدمة العملاء لضمان سير العمل بكفاءة.
 </li>
 <li>
 حل المشكلات التشغيلية بسرعة والمساهمة في تحسين العمليات.
 
 
 </li>
 </ul>
 
 المؤهلات
 
 
 
 <ul>
 <li>
 خبرة سابقة في المستودعات بمجال الأثاث المنزلي (شرط أساسي).
 </li>
 <li>
 خبرة قوية في استخدام نظام Odoo ERP.
 </li>
 <li>
 خبرة في قيادة وإدارة فرق المستودعات.
 </li>
 <li>
 مهارات ممتازة في حل المشكلات وإعداد التقارير.
 </li>
 <li>
 مهارات قيادية وتواصل قوية.
 </li>
 </ul>
</div>

Warehouse Supervisor - مشرف إدارة المخازن

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking an experienced
 
 Head of Data &amp; AI
 
 to lead the organization's data, analytics, and artificial intelligence strategy, driving innovation across our digital banking platform.
 
 
 In this leadership role, you will be responsible for defining and executing the enterprise data strategy, building scalable data platforms, leading AI initiatives, and establishing data governance practices that enable data-driven decision-making.
 
 
 You will lead multidisciplinary teams of data engineers, data analysts, BI developers, database administrators, AI specialists, and product managers while collaborating closely with executive leadership to deliver strategic business outcomes.
 
 
 Key Responsibilities
 
 
 Data &amp; AI Strategy
 
 <ul>
 <li>
 Define and execute the organization's Data &amp; AI strategy aligned with business objectives.
 </li>
 <li>
 Build a long-term roadmap for data platforms, analytics, business intelligence, and AI capabilities.
 </li>
 <li>
 Drive innovation through advanced analytics, machine learning, and AI solutions.
 </li>
 </ul>
 
 Leadership &amp; Team Management
 
 <ul>
 <li>
 Build, mentor, and lead high-performing Data &amp; AI teams.
 </li>
 <li>
 Foster a culture of innovation, collaboration, and continuous improvement.
 </li>
 <li>
 Support career development, performance management, and technical mentoring.
 </li>
 </ul>
 
 Data Platform &amp; Architecture
 
 <ul>
 <li>
 Oversee the design and evolution of enterprise data platforms and architectures.
 </li>
 <li>
 Ensure scalable, secure, and highly available data infrastructure.
 </li>
 <li>
 Drive modernization of data engineering and data warehousing capabilities.
 </li>
 </ul>
 
 AI &amp; Advanced Analytics
 
 <ul>
 <li>
 Lead AI and machine learning initiatives from ideation through production deployment.
 </li>
 <li>
 Identify opportunities to leverage AI for customer experience, fraud detection, personalization, and operational efficiency.
 </li>
 <li>
 Collaborate with product and engineering teams to embed AI capabilities into digital products.
 </li>
 </ul>
 
 Data Governance
 
 <ul>
 <li>
 Establish enterprise data governance, quality, security, and compliance standards.
 </li>
 <li>
 Ensure compliance with regulatory requirements and data privacy policies.
 </li>
 <li>
 Define enterprise-wide data standards and best practices.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Partner with executive leadership to define strategic priorities.
 </li>
 <li>
 Translate business needs into scalable technology solutions.
 </li>
 <li>
 Present roadmaps, KPIs, and progress updates to senior management.
 </li>
 </ul>
 
 Delivery &amp; Innovation
 
 <ul>
 <li>
 Oversee delivery of strategic data initiatives across engineering, product, and business teams.
 </li>
 <li>
 Monitor project execution, budgets, risks, and resource allocation.
 </li>
 <li>
 Continuously evaluate emerging technologies and industry trends.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 10+ years of experience
 
 in Data Engineering, Analytics, AI, or Data Management.
 </li>
 <li>
 
 5+ years leading enterprise Data &amp; AI teams.
 
 </li>
 <li>
 Proven experience building and scaling enterprise data platforms.
 </li>
 </ul>
 
 Technical Expertise
 
 <ul>
 <li>
 Data Engineering
 </li>
 <li>
 Data Warehousing
 </li>
 <li>
 Data Lakes
 </li>
 <li>
 ETL / ELT
 </li>
 <li>
 Streaming Data Platforms
 </li>
 <li>
 Cloud Data Platforms
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Business Intelligence
 </li>
 </ul>
 
 Leadership
 
 <ul>
 <li>
 Strong people leadership and organizational management skills.
 </li>
 <li>
 Experience managing multidisciplinary technical teams.
 </li>
 <li>
 Executive stakeholder management experience.
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Strong analytical and problem-solving capabilities.
 </li>
 <li>
 Ability to influence senior stakeholders and drive organizational change.
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 Banking, Financial Services, or FinTech
 
 </li>
 <li>
 Experience leading enterprise digital transformation initiatives.
 </li>
 <li>
 Knowledge of:
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big Data technologies
 </li>
 <li>
 AI/ML platforms
 </li>
 <li>
 Data Governance frameworks
 </li>
 <li>
 Experience implementing enterprise AI solutions.
 </li>
 <li>
 Master's degree in Computer Science, Data Science, AI, or MBA is a plus.
 </li>
 </ul>
</div>

Head of Data & AI

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry expertise, cutting-edge technologies from our ecosystem partners and startups, and the largest delivery network in the world, we deliver customized solutions to solve the most complex business challenges. With over 100 innovation hubs worldwide, we empower clients to innovate at speed and scale, transforming their businesses to stay ahead of the curve. Harness innovation, intelligence, and industry experience along with the latest technologies to create meaningful change. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 Join us in creating impactful solutions that drive success! As a subject matter expert, you will collaborate with various teams to make critical decisions and manage team dynamics effectively. By engaging with multiple teams, you&rsquo;ll contribute to innovative solutions that address challenges and shape the future of the organization.
 
 
 
 Role Overview
 
 
 
 As an Oracle HCM Manager, you will lead the design and implementation of Oracle HCM Cloud solutions, with a focus on Time &amp; Labor, Absence Management, and Core HCM. You will own the functional solution end-to-end, configuring work structures, security, approvals, and Fast Formulas, while guiding clients through design decisions, testing, and go-live.
 
 
 
 Key Responsibilities
 
 
 
 
 <li>
 Lead the design and implementation of Oracle HCM Cloud solutions across key modules.
 
 </li>
 <li>
 Act as the functional subject matter expert for HCM processes, including Time &amp; Labor and Absence Management.
 
 </li>
 <li>
 Own system configuration end-to-end, ensuring solutions align with business requirements and best practices.
 
 </li>
 <li>
 Design and implement Fast Formulas, value sets, approval rules, and business rules to support complex scenarios.
 
 </li>
 <li>
 Partner with stakeholders to gather requirements and translate them into working functional solutions.
 
 </li>
 <li>
 Collaborate with technical teams on integrations, data migration, and reporting.
 
 </li>
 <li>
 Lead testing activities (SIT and UAT), defect resolution, and deployment support.
 
 </li>
 <li>
 Support system enhancements, quarterly release impact assessments, and continuous improvement initiatives.
 
 </li>
 <li>
 Ensure data accuracy, system integrity, and process standardization across modules.
 
 </li>
 <li>
 Mentor team members and contribute to overall delivery quality.
 
 
 
 </li>
 
 Basic Qualifications
 
 
 
 
 <li>
 10+ years of Oracle HCM experience, with strong Fusion Cloud implementation background.
 
 </li>
 <li>
 Hands-on expertise across Time &amp; Labor, Absence Management, and Core HCM (work structures, security, approvals, and related areas).
 
 </li>
 <li>
 Strong experience in Fast Formula design and development.
 
 </li>
 <li>
 Proven track record across the full implementation lifecycle: design, configure, test, deploy, and support.
 
 </li>
 <li>
 Bachelor's degree in a relevant discipline.
 
 
 
 </li>
 
 Preferred Skills
 
 
 
 
 <li>
 Solid understanding of HR processes, policies, and transformation initiatives.
 
 </li>
 <li>
 Experience in Core HR and Payroll.
 
 </li>
 <li>
 Exposure to HCM Extracts, HDL and data loading, and OTBI / BI Publisher reporting.
 
 </li>
 <li>
 Ability to work effectively across functional and technical teams.
 
 </li>
 <li>
 Strong communication, problem-solving, and leadership skills.
 
 
 
 </li>
</div>

Oracle HCM Manager (Fusion)

adidas

<div>
 
 Purpose &amp; Overall Relevance For The Organisation
 
 
 
 The DC manager assume the responsibility for the management of the inbound product flow of adidas from suppliers until stocks are booked in addition to the management &amp; execution of the DC Operations and order book for customers by coordinating/matching supply and demand within the supply chain and ensuring orders are fulfilled on time &amp; in full.
 
 
 Managing and coaching the entire Inbound and DC team in Egypt and building strong cross functional relations within SCM functions and other stakeholders, with a focus on the Retail, Wholesale, eCom, and Finance teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Accountable for accurate and timely inbound product flow management of adidas product.
 </li>
 <li>
 Responsible for continuous streamlining of Inbound process and adhering to standards, policies, customs regulations &amp; controls.
 </li>
 <li>
 Operational management of the distribution center and transportation operations for both B2B &amp; B2C in Egypt.
 </li>
 <li>
 Coordinating internally with Logistics Provider to ensure excellent warehouse management and on-time delivery.
 </li>
 <li>
 Coordinate the release of themes &amp; campaigns with marketing/retail and ensure on time deliveries to the markets.
 </li>
 <li>
 Establish reporting criteria within the scope of Inbound &amp; DC Ops status and ensure reports are published as per the timelines.
 </li>
 <li>
 Support negotiations with 3PL and Transporters and initiate tender for contract renewals.
 </li>
 <li>
 Prepare with full diligence all related documents (invoices, packing lists, COO, &hellip; etc.) for Inbound and Outbound shipments to ensure accurate payment of customs duties and efficient clearance.
 </li>
 <li>
 Support the overall operations team by taking lead in timely submission of Global KPIs, inventory management.
 </li>
 <li>
 Coaching and managing of Egypt Inbound and DC operations team.
 </li>
 <li>
 Responsible for managing entire supply chain budget for Egypt - timely monitoring, and leading efficiency initiatives.
 </li>
 <li>
 Actively participate / lead SCM transformation initiatives like ecommerce capabilities, automation, DC network strategy, supply chain excellence etc.
 </li>
 <li>
 Continuously identify areas of improvement in supply chain operations which bring in efficiency or improve customer experience.
 </li>
 <li>
 Work cross-functionally with field operations and other functions to drive influence in capacity planning and management.
 </li>
 <li>
 Actively participate / lead SCM transformation initiatives like ecommerce capabilities, automation, DC network strategy, supply chain excellence etc.
 </li>
 <li>
 Collaborating with SCM cluster head, understanding the forecasted volumes and priorities, organizing and motivating all distribution center staff to achieve delivery of all customers&rsquo; orders on time.
 </li>
 <li>
 Preparing ad-hoc analysis, reports and new projects.
 </li>
 <li>
 Measures forwarder&rsquo;s performance on a regular basis and communicate to concerned parties for analysis and improvement recommendations.
 </li>
 <li>
 Responsible for local/Global 3PL account management and coordination from volume allocation, formulation and maintenance of processes, policies, contracts and standard operating procedures (SOP).
 </li>
 <li>
 Ensures that adidas follows all the local market requirements.
 
 
 </li>
 </ul>
 
 Key Relationships
 
 
 
 <ul>
 <li>
 Global: Yes
 </li>
 <li>
 Regional: Yes
 </li>
 <li>
 Local:
 </li>
 <ul>
 <li>
 Retail, Ecommerce, DPC and Wholesale business teams
 </li>
 <li>
 Finance
 </li>
 <li>
 3 PL &ndash; Freight forwards, Customs brokers, DC, and last mile service provider.
 
 </li>
 </ul>
 </ul>
 
 Skills And Experience Required
 
 
 
 <ul>
 <li>
 University degree in Management, Business, or Engineering. Logistics, Supply chain preferred and Post Graduation is a plus.
 </li>
 <li>
 IT Skills &ndash; Advanced in MS Office (primarily Excel, PowerPoint); Power Bi and SAP experience preferred.
 </li>
 <li>
 Min. 6 years of overall work experience in Logistics &amp; Distribution Centre, preferably Apparel/Footwear and Retail/Ecom vertical
 </li>
 <li>
 Management experience for at least 2 years.
 </li>
 <li>
 University degree in Management. Logistics, Supply chain preferred and Post Graduation is a plus.
 </li>
 <li>
 Ability to manage a multi-faceted team in an operations environment, with an understanding of unified commerce principles.
 </li>
 <li>
 Strong track-record of problem-solving, including structuring problems, performing detailed analysis, and developing/implementing recommendations.
 
 
 </li>
 </ul>
 adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer.
</div>

Manager Distribution Center Operations

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 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 Electronics

<div>
 
 Position
 
 
 
 Technical Support Manager- VMware by Broadcom
 
 
 
 Job Description
 
 
 
 We are an American Fortune 500 company headquartered in Centennial, Colorado. The company specializes in distribution and value-added services relating to electronic components and computer products.
 
 
 At
 
 Arrow ECS
 
 we are at the forefront of new internet security technology, providing businesses with technical expertise. As a company we sell, install, and maintain customer's software and hardware solutions such as firewalls, antivirus, web filtering, virtual infrastructures, and network traffic load balancers. Our customers can range from small businesses to some of the biggest companies in the world. We work with these customers to ensure that their IT infrastructure is fast, reliable, secure, and most importantly works well for their needs.
 
 
 Our team has created a unique business environment - one of energy, Innovation, passion, creativity, and collaboration.
 
 
 
 What You Will Be Doing at Arrow?
 
 
 
 The Technical Support Manager will lead and manage a team of VMware by Broadcom technical support professionals, ensuring the team provides timely, best-in-class technical assistance to customers. This role involves overseeing day-to-day operations, ensuring service-level agreements (SLAs) are met, and providing coaching and guidance to team members. You have a true passion for teamwork, possess superb communication &amp; organizational skills, and are comfortable with speaking to customers daily. Technical Support Managers lead and/or participate in several ongoing programs, projects &amp; initiatives.
 
 
 The ideal candidate has strong technical knowledge, excellent leadership skills, and a passion for solving customer problems.
 
 
 
 Team Management &amp; Leadership
 
 
 
 <ul>
 <li>
 Lead a team of skilled Technical Support Engineers, including interviewing &amp; hiring, coordinating skills development &amp; training, and optimizing individual &amp; team performance.
 </li>
 <li>
 Supervise, mentor, and coach the technical support team to improve performance and maintain a high level of customer service.
 </li>
 <li>
 Conduct regular performance evaluations, and one-on-one meetings, and provide constructive feedback.
 </li>
 <li>
 Manage team schedules, including shifts and coverage for peak times and holidays.
 </li>
 <li>
 Monitor and manage day-to-day support operations to ensure customer issues are resolved in a timely and efficient manner.
 </li>
 <li>
 Ensure the team meets or exceeds key performance indicators (KPIs) such as response times, resolution times, and customer satisfaction scores.
 </li>
 <li>
 Handle escalated customer issues that require managerial attention.
 </li>
 <li>
 Identify training needs and arrange appropriate training and development programs for team members.
 </li>
 <li>
 Keep the team updated with the latest technology, tools, and processes to enhance support quality.
 </li>
 <li>
 Prepare regular reports on team performance, customer feedback, and key operational metrics.
 </li>
 <li>
 Ensure customer issues are resolved with empathy and professionalism.
 </li>
 <li>
 Regularly review customer feedback to identify areas for service improvement.
 </li>
 <li>
 Help the team to resolve escalated support incidents from our customers and partners. A percentage of calls will be of a complex technical nature.
 
 
 </li>
 </ul>
 
 Who Are We Looking For?
 
 
 
 In this role, you will have the opportunity to acquire lots of new skills, so you must be
 
 keen to learn and embrace new technologies
 
 and commit to rapid skills development.
 
 
 
 Therefore, What Is Essential For Us
 
 
 
 <ul>
 <li>
 Excellent English language skills both written and verbal.
 </li>
 <li>
 Bachelor's degree in information technology, Computer Science, or related field (or equivalent experience).
 </li>
 <li>
 5+ years of experience in technical support, with at least 2-3 years in as senior support engineer or team leader role.
 </li>
 <li>
 Proven ability to manage, mentor, and motivate a team, with excellent decision-making and problem-solving abilities.
 </li>
 <li>
 Ability to build a culture of collaboration, accountability, and continuous learning.
 </li>
 <li>
 Ability to drive team engagement and foster a positive work environment.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences.
 </li>
 <li>
 Emotional intelligence &amp; conflict resolution skills to manage escalations professionally with customer-first mindset.
 </li>
 <li>
 Experience in identifying and implementing process optimizations to enhance support efficiency.
 </li>
 <li>
 Experience with virtualization, networking, and troubleshooting.
 </li>
 <li>
 The ability to acquire skills and develop quickly is essential.
 </li>
 <li>
 Willingness to work outside of normal business hours.
 </li>
 <li>
 Previous experience in fast-paced technical support departments.
 </li>
 <li>
 Foreign language skills (German, French, or Spanish) would be a plus but not essential.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-New Cairo, Egypt (Uvenues)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Engineering and Technology
</div>

Technical Support Manager- VMware by Broadcom

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