customer service representative

call center agent

call center agent (outsource) Jobs in Cairo

call center agent (outsource)

call center representative

call center representative (fresh graduates) Jobs in Cairo

contact center agent

Alshaya Group

<div>
 
 
 Call Center Agent &ndash; Contact Centre
 
 
 
 
 
 
 📍 Location: Cairo - 🕒 Full-time
 
 
 
 
 
 Are you passionate about delivering excellent customer service and creating positive customer experiences? We are looking for a dedicated Call Center Agent to join our Contact Centre team and support customers across multiple channels.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Handle inbound and outbound customer interactions via phone, email, chat, and other digital platforms
 </li>
 <li>
 Take full ownership of customer queries and ensure timely, accurate, and professional resolution
 </li>
 <li>
 Deliver a consistent, high-quality customer experience while building rapport and trust
 </li>
 <li>
 Accurately log and manage all customer interactions using internal systems (BMC Remedy, ININ, COMMS, etc.)
 </li>
 <li>
 Support outbound calling activities and follow-ups when required
 </li>
 <li>
 Follow contact centre processes, scripts, and quality standards to ensure consistency
 </li>
 <li>
 Contribute to improving service quality and Customer Effort Score (CES)
 </li>
 <li>
 Work collaboratively with team members and stakeholders to resolve issues efficiently
 </li>
 <li>
 Adhere to schedules, including shifts, weekends, and public holidays when required
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Fluency in English and Arabic (spoken and written)
 </li>
 <li>
 Strong communication and interpersonal skills
 </li>
 <li>
 Ability to multitask and adapt in a fast-paced, high-volume environment
 </li>
 <li>
 Customer-focused mindset with the ability to handle challenging situations professionally
 </li>
 <li>
 Positive attitude, team spirit, and attention to detail
 </li>
 </ul>
 
 
 
 
 Experience
 
 <ul>
 <li>
 1&ndash;4 years of experience in a customer service or call centre environment
 </li>
 <li>
 Fresh graduates with strong communication skills are welcome to apply
 </li>
 </ul>
 
 
 
 
 Why Join Us
 
 <ul>
 <li>
 Supportive and collaborative team environment
 </li>
 <li>
 Exposure to a dynamic, multi-channel contact centre
 </li>
 <li>
 Ongoing learning, development, and career growth opportunities
 </li>
 <li>
 Employee discounts across our brands
 </li>
 <li>
 Transport allowance
 </li>
 <li>
 Annual bonus scheme
 </li>
 <li>
 Opportunity to contribute directly to customer experience and service excellence
 </li>
 </ul>
 
 
 
 
 If this sounds like you, we&rsquo;d love to hear from you. Apply now and take the next step in your customer service career with us.
 
</div>

Call Center Agent

ClearGrid

<div>
 
 About ClearGrid
 
 
 
 ClearGrid is on a mission to
 
 revolutionize the debt resolution industry
 
 . We&rsquo;re using
 
 AI, automation, and real-time data
 
 to completely rethink how debt collection works, unlocking better outcomes for institutions and individuals alike. Think of us as rebuilding the collections &mdash;starting from scratch, with modern tools.
 
 
 We're a fast-growing startup with ambitious goals, and we&rsquo;re looking for builders who are hungry to make a real dent in a space with massive untapped potential.
 
 
 
 About The Role
 
 
 
 This is a hands-on, technical role that sits at the intersection of AI, language, and financial services. You will design and own AI agents that handle real customer conversations in Arabic and English, operating under strict compliance requirements set by our lender partners. The role demands equal parts linguistic precision, technical understanding of how LLMs work, and deep familiarity with financial services norms.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Agent Design &amp; Prompt Engineering
 
 
 
 <ul>
 <li>
 Write and own system instructions for AI voice agents end-to-end: persona definition, tone calibration, identity verification scripts, and dialect-specific behaviour for Gulf Arabic audiences.
 </li>
 <li>
 Manage agents across the full customer contact lifecycle, from early-stage reminder agents through to payment arrangement, broken promise, and compliance-focused agents.
 </li>
 <li>
 Encode lender-specific rules directly into system instructions.
 </li>
 <li>
 Inject dynamic customer and account variables provided by the data team to personalise each agent interaction.
 
 
 </li>
 </ul>
 
 Daily Testing &amp; Quality Assurance
 
 
 
 <ul>
 <li>
 Run daily test calls to address a wide range of real-world scenarios.
 </li>
 <li>
 Listen to live and recorded calls to identify bugs, off-script responses, or compliance gaps, and ship hotfixes quickly.
 </li>
 <li>
 Work within a structured QA feedback loop, acting on review comments to improve agent quality before deployment.
 </li>
 <li>
 Coordinate with cross-functional teams to align on call triggers, variable feeds, and product rules.
 
 
 </li>
 </ul>
 
 Voice &amp; Speech Optimisation
 
 
 
 <ul>
 <li>
 Develop new agent voices and evaluate them for naturalness, clarity, and suitability per lender and dialect.
 </li>
 <li>
 Tune STT/ASR (speech-to-text), TTS (text-to-speech), and latency parameters to maintain call quality.
 </li>
 <li>
 Control temperature and model parameters to keep agents within compliant, predictable behaviour, preventing hallucination and manipulation attempts.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Monitor developments in AI tooling, voice technology, and LLM capabilities and assess their relevance to the agent stack.
 </li>
 <li>
 Study real customer call dynamics alongside the operations team and use those insights to improve agent realism and effectiveness.
 </li>
 <li>
 Maintain detailed documentation for each prompt version across all client projects.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Native or near-native Arabic speakers.
 </li>
 <li>
 Demonstrated experience in AI prompt engineering or training AI/LLM models in a professional setting.
 </li>
 <li>
 Working knowledge of voice AI stack: STT/ASR, TTS, latency management, hallucination mitigation.
 </li>
 <li>
 Understanding of how LLMs think - temperature, constraints, failure modes, and manipulation resistance.
 </li>
 <li>
 Experience or background in banking, debt collection, fintech, or financial services.
 </li>
 <li>
 Ability to produce structured, unambiguous written prompts in both English and Arabic.
 </li>
 <li>
 High attention to detail and comfort with repetitive testing and incremental iteration.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on experience with voice cloning tools and multi-voice agent pipelines.
 </li>
 <li>
 Familiarity with debt collection workflows: bucket segmentation, PTP cycles, RPC scripts, and lender compliance requirements.
 </li>
 <li>
 Prior exposure to Gulf-based financial institutions or BNPL platforms.
 </li>
 <li>
 Experience coordinating with QA teams and managing structured feedback loops.
 </li>
 </ul>
</div>

AI Prompt Engineer

Intellias

<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)

OmniOps

<div>
 
 
 About OmniOps
 
 
 
 
 
 
 OmniOps helps organizations build, operate, and optimize modern cloud-native infrastructure, observability platforms, and AI-powered operations. We work with clients across multiple industries to deliver scalable, reliable, and secure solutions that enable operational excellence.
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 We are seeking an experienced Observability Engineer to design, deploy, and operate observability platforms for our clients. The ideal candidate will have hands-on experience with the Grafana ecosystem, telemetry collection, monitoring, logging, tracing, and alerting across cloud, on-premises, and hybrid environments.
 
 
 This role involves working directly with client teams to ensure their infrastructure and applications are fully observable, while maintaining clear ownership boundaries and providing expert guidance on monitoring best practices.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Deploy, configure, upgrade, and manage Grafana Alloy agents across Kubernetes, Linux, and Windows environments.
 </li>
 <li>
 Design and maintain observability backends using Grafana, Loki, Mimir, Tempo, and Alertmanager, either on-premises or through Grafana Cloud.
 </li>
 <li>
 Configure telemetry pipelines for logs, metrics, and traces, ensuring reliable data collection and delivery.
 </li>
 <li>
 Manage retention policies, storage capacity, and platform health across client environments.
 </li>
 <li>
 Implement platform-level dashboards, alerting rules, notification channels, and monitoring standards.
 </li>
 <li>
 Ensure observability platforms are self-monitoring and capable of detecting ingestion, agent, and backend health issues.
 </li>
 <li>
 Support client teams with application instrumentation and observability best practices.
 </li>
 <li>
 Define telemetry collection standards, SDK recommendations, and integration approaches.
 </li>
 <li>
 Validate data ingestion and ensure logs, metrics, and traces are properly collected and visualized.
 </li>
 <li>
 Assist clients in implementing alerting strategies and translating SLO requirements into actionable monitoring solutions.
 </li>
 <li>
 Provide technical guidance while maintaining clear ownership boundaries between OmniOps and client teams.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 Proven experience operating Grafana-based observability platforms in production environments.
 </li>
 <li>
 Hands-on experience with Grafana Alloy, OpenTelemetry Collector, Promtail, Grafana Agent, or similar telemetry collection tools.
 </li>
 <li>
 Strong experience deploying and managing monitoring agents across Kubernetes, Linux, and Windows environments.
 </li>
 <li>
 Solid understanding of Kubernetes, including DaemonSets, RBAC, manifests, and Helm.
 </li>
 <li>
 Experience with Grafana Cloud, including tenant management, stack configuration, and agent connectivity.
 </li>
 <li>
 Strong understanding of observability concepts, including metrics, logs, traces, alerting, retention strategies, and capacity planning.
 </li>
 <li>
 Experience with PromQL, LogQL, and telemetry data modeling best practices.
 </li>
 <li>
 Strong communication and stakeholder management skills with a customer-focused mindset.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Experience delivering observability services in managed services or multi-tenant environments.
 </li>
 <li>
 Knowledge of Infrastructure as Code and GitOps tools such as Terraform, Helm, and Ansible.
 </li>
 <li>
 Experience implementing OpenTelemetry instrumentation for applications and services.
 </li>
 <li>
 Familiarity with AWS, Azure, and GCP logging integrations.
 </li>
 <li>
 Experience collecting and monitoring Windows telemetry, including Windows Exporter and Event Log collection.
 </li>
 <li>
 Experience building scalable monitoring and observability frameworks for enterprise environments.
 </li>
 </ul>
 
 
 
 
 
 What Success Looks Like
 
 
 
 
 
 <ul>
 <li>
 Reliable deployment and operation of observability platforms across multiple client environments.
 </li>
 <li>
 High availability and health of telemetry pipelines and monitoring infrastructure.
 </li>
 <li>
 Effective dashboards, alerting, and self-monitoring capabilities that improve operational visibility.
 </li>
 <li>
 Successful onboarding of client applications and infrastructure into observability platforms.
 </li>
 <li>
 Strong client satisfaction through technical excellence and proactive support.
 </li>
 </ul>
 
 
</div>

Observability Engineer

Fairmont Hotels & Resorts

<div>
 
 Company Description
 
 
 
 Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.
 
 
 Take the opportunity to become a Heartist&reg;, and let your heart guide you in this world where life beats faster.
 
 
 
 Job Description
 
 
 
 We are seeking a detail-oriented and customer-focused Reservations Agent to join our dynamic team in Cairo, Egypt. In this role, you will be the first point of contact for our guests, managing their booking experience with professionalism, efficiency, and genuine care. You will handle a high volume of reservation inquiries while maintaining accuracy and delivering exceptional service that exceeds expectations. This position offers an exciting opportunity to work in a fast-paced environment where your organizational skills and collaborative spirit will directly impact guest satisfaction and organizational success.
 
 
 <ul>
 <li>
 Process, modify, and cancel reservations with accuracy and efficiency while maintaining detailed records in our reservation system
 </li>
 <li>
 Respond promptly to guest inquiries via phone, email, and other communication channels with empathy and professionalism
 </li>
 <li>
 Provide comprehensive information about accommodations, amenities, rates, and special offers to potential guests
 </li>
 <li>
 Collaborate seamlessly with front desk, sales, marketing, and other departmental teams to ensure smooth reservation workflows and consistent guest experiences
 </li>
 <li>
 Analyze booking patterns and guest preferences to support revenue optimization initiatives
 </li>
 <li>
 Handle guest concerns and complaints with patience and decisiveness, working toward mutually beneficial resolutions
 </li>
 <li>
 Maintain organized records and documentation to ensure data integrity and compliance with company policies
 </li>
 <li>
 Identify opportunities to upsell services and packages while remaining transparent about offerings
 </li>
 <li>
 Adapt quickly to changing priorities and manage multiple reservations simultaneously without compromising quality
 </li>
 <li>
 Contribute to a supportive team environment by sharing best practices and assisting colleagues when needed
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 Previous experience in a reservations, customer service, or hospitality role (preferred but not required for motivated candidates)
 </li>
 <li>
 Strong listening and interpersonal skills with the ability to build rapport with diverse guests
 </li>
 <li>
 Excellent verbal communication skills in English; additional language proficiency is a valuable asset
 </li>
 <li>
 Proficiency with computer systems and reservation management software
 </li>
 <li>
 Exceptional attention to detail and accuracy in data entry and record-keeping
 </li>
 <li>
 Ability to multitask effectively and prioritize in a high-volume environment
 </li>
 <li>
 Strong problem-solving skills with a proactive approach to resolving issues
 </li>
 <li>
 Demonstrated ability to work collaboratively within a team structure
 </li>
 <li>
 Flexibility to adapt to changing circumstances and learn new processes quickly
 </li>
 <li>
 Goal-oriented mindset with a commitment to achieving performance targets
 
 
 </li>
 </ul>
 Additional Information
 
 
 
 Our Commitment To Diversity &amp; Inclusion
 
 
 
 We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.
</div>

Reservations Agent

<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)

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices.
 
 
 As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You&rsquo;ll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, debug, and deploy Java-based applications across the full SDLC.
 </li>
 <li>
 Collaborate with cross-functional teams to develop robust, maintainable solutions.
 </li>
 <li>
 Contribute to technical design and architectural decisions using modern best practices.
 </li>
 <li>
 Maintain high code quality through unit testing and clean code principles.
 </li>
 <li>
 Support configuration, build automation, deployment, and continuous integration.
 </li>
 <li>
 Mentor junior developers and actively contribute to a culture of technical excellence.
 </li>
 <li>
 Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable.
 </li>
 <li>
 Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making.
 </li>
 <li>
 Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Programming &amp; Frameworks:
 
 
 </li>
 </ul>
 Java, Spring Boot, Angular, Node.js, OOP, Design Patterns
 
 
 <ul>
 <li>
 Web Technologies:
 
 
 </li>
 </ul>
 JavaScript (Basics, AJAX), REST &amp; SOAP Web Services
 
 
 <ul>
 <li>
 Database &amp; ORM:
 
 
 </li>
 </ul>
 Native SQL, Oracle, MySQL, Database Design, ERD, JPA, Hibernate
 
 
 <ul>
 <li>
 Search &amp; Messaging:
 
 
 </li>
 </ul>
 Apache Solr, Elasticsearch, Kafka
 
 
 <ul>
 <li>
 Build &amp; Deployment:
 
 
 </li>
 </ul>
 Maven, CI/CD, Deployment Automation
 
 
 <ul>
 <li>
 Testing &amp; Quality:
 
 
 </li>
 </ul>
 Unit Testing (Junit, TestNG), TDD, Clean Code Practices
 
 
 <ul>
 <li>
 Application Servers:
 
 
 </li>
 </ul>
 Apache Tomcat, WebLogic, JBoss, WebSphere, GlassFish, OC4J
 
 
 <ul>
 <li>
 Tools &amp; Configuration:
 
 
 </li>
 </ul>
 Git, Configuration Management, JIRA, XML (XSD, DTD)
 
 
 <ul>
 <li>
 Security:
 
 
 </li>
 </ul>
 Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities
 
 
 <ul>
 <li>
 Generative AI &amp; Intelligent Automation:
 </li>
 <li>
 Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks.
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications.
 </li>
 <li>
 Understanding of vector databases (e.g., Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval.
 </li>
 <li>
 Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance.
 </li>
 <li>
 Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Big Data &amp; NoSQL: Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase
 </li>
 <li>
 Containers &amp; DevOps: Docker, Kubernetes
 </li>
 <li>
 Other: Security Best Practices, AOP (Aspect-Oriented Programming)
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

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