Qureos Mentor

SSC HR Solutions

<div>
 
 Description
 
 
 
 &ensp;Minimum 3 years of experience in frontend development with React
 
 
 <ul>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Strong knowledge of HTML, CSS, and Typescript
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 &ensp;&ensp;&ensp;&ensp;&ensp;Experience with styling frameworks such as Tailwind CSS or Styled Components
 </li>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Experience in unit testing with Jest and React testing framework
 </li>
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 &ensp;&ensp;&ensp;&ensp;&ensp;Familiarity with integrating and consuming REST APIs
 </li>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Experience with Git version control tool
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience developing cross-platform mobile applications using React Native
 </li>
 <li>
 Knowledge of CI/CD pipelines and experience with automated build, testing, and deployment processes
 </li>
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 Familiarity with Agile software development methodologies, particularly Scrum, including participation in sprint planning, daily stand-ups, retrospectives, and backlog refinement
 </li>
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 Experience working with state management libraries such as Redux, Redux Toolkit, Zustand, or MobX
 </li>
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 Understanding of web performance optimization, accessibility (WCAG), and responsive design principles
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) is considered an advantage
 </li>
 <li>
 Experience working with design collaboration tools such as Figma and translating UI/UX designs into high-quality user interface
 </li>
 </ul>
</div>

Senior Frontend developer (Banking)

<div>
 <ul>
 <li>
 Design, develop, and maintain scalable backend applications using Spring Boot.
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 Develop and maintain RESTful APIs to support web and mobile applications.
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 Collaborate with frontend developers, QA engineers, and product teams to deliver high-quality software.
 </li>
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 Write clean, maintainable, and well-documented code following best practices.
 </li>
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 Optimize application performance, scalability, and reliability.
 </li>
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 Troubleshoot, debug, and resolve production issues.
 </li>
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 Participate in code reviews and contribute to improving development standards.
 </li>
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 Work with relational and NoSQL databases to design and implement efficient data models.
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 Build and maintain containerized applications using Docker and deploy them in Kubernetes environments.
 </li>
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 Participate in Agile ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of experience in backend development using Spring Boot.
 </li>
 <li>
 Strong knowledge of Spring Boot modules such as Spring Web and Spring Data.
 </li>
 <li>
 Experience in building RESTful APIs.
 </li>
 <li>
 Experience with unit testing using JUnit and standard mocking libraries.
 </li>
 <li>
 Familiarity with Docker and Kubernetes as deployment environments.
 </li>
 <li>
 Experience with Git version control.
 </li>
 <li>
 Proven experience with SQL and NoSQL databases.
 </li>
 <li>
 Strong understanding of Object-Oriented Programming (OOP) principles.
 </li>
 <li>
 Experience with Maven or Gradle build tools.
 </li>
 <li>
 Good debugging, problem-solving, and analytical skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with database migration tools such as Flyway.
 </li>
 <li>
 Knowledge of CI/CD pipelines.
 </li>
 <li>
 Experience with Agile methodologies, especially Scrum.
 </li>
 <li>
 Familiarity with messaging systems such as Kafka or RabbitMQ.
 </li>
 <li>
 Knowledge of Redis or other caching technologies.
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
 </li>
 <li>
 Understanding of Microservices architecture and API documentation tools such as Swagger/OpenAPI.
 </li>
 </ul>
</div>

Java Backend Developer (Spring Boot) - Banking sector

<div>
 
 Job Description
 
 
 
 
 Digital Experience Monitoring (DEM) Tool Subject Matter Expert (SME)
 
 
 
 The
 
 Digital Experience Monitoring (DEM) Tool Subject Matter Expert (SME)
 
 within the
 
 Experience Management Office (XMO)
 
 is responsible for the expert-level administration, optimization, and utilization of Digital Experience Monitoring tools such as
 
 SysTrack
 
 and
 
 Nexthink
 
 . The role focuses on monitoring and enhancing employee digital experiences by collecting, analyzing, and interpreting performance data, identifying issues affecting user experience, and providing actionable insights to improve productivity, service quality, and user satisfaction.
 
 
 
 Key Responsibilities
 
 
 2. Monitoring &amp; Data Analysis
 
 
 3. Reporting &amp; Insights
 
 
 4. Knowledge Sharing &amp; Collaboration
 
 
 5. Continuous Improvement &amp; Innovation
 
 
 
 <ul>
 <li>
 DEM Tool Management &amp; Optimization
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 Configure, administer, and optimize DEM tools such as SysTrack and Nexthink.
 </li>
 <li>
 Fine-tune monitoring configurations to capture relevant data on user interactions, application performance, system health, and digital workplace experience.
 </li>
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 Ensure DEM platforms are operating efficiently and delivering accurate, reliable data.
 </li>
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 Continuously monitor digital experiences across the organization.
 </li>
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 Collect and analyze performance data to identify trends, anomalies, and potential issues.
 </li>
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 Evaluate IT service performance from the end-user perspective.
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 Detect patterns that may impact user productivity, satisfaction, or service quality.
 </li>
 <li>
 Develop and maintain reports, dashboards, and analytics views related to digital experience metrics.
 </li>
 <li>
 Provide insights into system responsiveness, application performance, user behavior, and overall digital workplace health.
 </li>
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 Present findings and recommendations to the XMO Experience Manager and relevant stakeholders.
 </li>
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 Support data-driven decision-making through meaningful reporting and analysis.
 </li>
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 Assist XMO team members in understanding data generated from DEM platforms.
 </li>
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 Explain relationships between DEM data and other operational or business datasets.
 </li>
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 Collaborate with cross-functional IT teams to maximize the value of monitoring and analytics capabilities.
 </li>
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 Support experience improvement initiatives through data-driven insights.
 </li>
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 Stay up to date with emerging technologies, platform enhancements, and industry best practices.
 </li>
 <li>
 Contribute to the continuous improvement of monitoring capabilities and digital experience management practices.
 </li>
 <li>
 Identify opportunities to improve visibility, analytics, and operational effectiveness through DEM tools
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 
 Technical Knowledge &amp; Platform Expertise
 
 
 
 <ul>
 <li>
 In-depth knowledge of the SysTrack and/or Nexthink suite, including:
 </li>
 <ul>
 <li>
 SysTrack Workspace Analytics
 </li>
 <li>
 SysTrack Cloud
 </li>
 <li>
 Nexthink Infinity
 </li>
 <li>
 Nexthink Amplify
 </li>
 <li>
 Nexthink Flow
 </li>
 <li>
 Related platform components
 </li>
 </ul>
 <li>
 Experience administering and optimizing DEM platforms in enterprise environments.
 </li>
 <li>
 Adherence to security best practices to ensure the confidentiality and integrity of monitoring data.
 </li>
 <li>
 Experience integrating SysTrack and/or Nexthink with other systems and tools.
 </li>
 </ul>
 
 Automation &amp; Scripting
 
 
 
 <ul>
 <li>
 Advanced proficiency in PowerShell scripting.
 </li>
 <li>
 Strong knowledge of automation frameworks and automation practices.
 </li>
 <li>
 Experience designing, implementing, and managing automated workflows across IT environments.
 </li>
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 Ability to streamline repetitive tasks through automation while ensuring consistency, reliability, and scalability.
 </li>
 <li>
 Experience identifying, evaluating, and implementing automation opportunities.
 
 
 </li>
 </ul>
 
 Infrastructure &amp; Systems Administration
 
 
 
 <ul>
 <li>
 Proficiency in administering Windows Server and/or Windows desktop operating systems.
 </li>
 <li>
 Understanding of enterprise IT infrastructure and endpoint management environments.
 
 
 </li>
 </ul>
 
 Data Management &amp; Analysis
 
 
 
 <ul>
 <li>
 Strong SQL skills for database management and data analysis.
 </li>
 <li>
 Ability to collect, analyze, and interpret performance and experience data.
 </li>
 <li>
 Experience producing reports, dashboards, and analytical insights.
 
 
 </li>
 </ul>
 
 Solution Design &amp; Problem Solving
 
 
 
 <ul>
 <li>
 Demonstrated experience in solution design and architecture.
 </li>
 <li>
 Excellent troubleshooting and problem-solving skills.
 </li>
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 Ability to investigate issues, determine root causes, and recommend effective solutions.
 
 
 </li>
 </ul>
 
 Documentation &amp; Collaboration
 
 
 
 <ul>
 <li>
 Strong documentation skills for maintaining configurations, procedures, and issue resolution records.
 </li>
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 Effective communication and collaboration skills within cross-functional teams.
 </li>
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 Ability to communicate technical findings and recommendations clearly to stakeholders.
 
 
 </li>
 </ul>
 
 Language Requirement
 
 
 
 <ul>
 <li>
 English proficiency: B2 Level
 
 
 </li>
 </ul>
 
 Core Skills
 
 
 
 <ul>
 <li>
 Problem Solving
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 User Experience
 </li>
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 Data Analysis
 </li>
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 Reporting
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 <li>
 Automation
 </li>
 </ul>
</div>

Digital Experience Monitoring (DEM) SME - Nexthink / SysTrack Specialist

<div>
 <ul>
 <li>
 Develop and execute comprehensive marketing strategies aligned with company objectives
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 Manage brand positioning and maintain a consistent corporate identity
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 Plan and run digital marketing campaigns across social media, Google Ads, and email marketing channels
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 Generate qualified leads and support sales team targets
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 Oversee content creation including social media posts, videos, designs, and case studies
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 Analyze campaign performance and optimize ROI through data-driven decisions
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 Manage and coordinate with external agencies, designers, and content creators
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 Conduct market research and competitor analysis to identify trends and opportunities
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 Support product launches, promotional campaigns, and marketing events
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 Prepare regular marketing reports and performance insights
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 Monitor marketing budgets and campaign spending
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 Collaborate with sales and product teams to align marketing activities with business goals
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Business Administration, or a related field
 </li>
 <li>
 3-5 years of experience in marketing, preferably in fintech, POS, or technology companies
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 Strong knowledge of digital marketing tools and platforms
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 Experience in branding, campaign management, and lead generation
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 Good understanding of social media management and paid advertising strategies
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 Analytical mindset with strong performance tracking and reporting skills
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 Excellent communication, presentation, and leadership skills
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 Ability to manage multiple projects and work under pressure
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 Familiarity with tools such as Meta Ads, Google Ads, and CRM systems
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 Experience in B2B marketing and customer acquisition is a plus
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 Strong organizational and time management skills
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 Creative thinking with attention to market trends and customer behavior
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 Ability to meet deadlines and handle fast-paced work environments
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 </ul>
</div>

Marketing Team Leader

<div>
 <ul>
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 Implement, and administer enterprise network infrastructure including routers, L2/L3 switches, wireless solutions, load balancers, and remote access technologies to ensure high availability and optimal performance
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 Implement, and maintain security infrastructure across multiple vendors including:
 </li>
 <ul>
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 Next-Generation Firewalls (NGFW)
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 L3/L4 Firewalls
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 Web Application Firewalls (WAF)
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 Identity and Access Control solutions
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 Secure web gateways and security proxies
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 SASE
 </li>
 </ul>
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 Manage network segmentation, zoning, VPN connectivity, cryptography standards, and DoS/DDoS protection mechanisms to ensure compliance with security standards and best practices
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 Administer and support enterprise voice and collaboration platforms including Avaya, Cisco and Contact Center solutions
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 Monitor network and security infrastructure using enterprise monitoring and logging tools, investigate incidents, perform root cause analysis, and take corrective actions proactively
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 Lead troubleshooting and resolution of complex network, communication, and security incidents while providing third-level support for critical business services
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 Ensure proper documentation, configuration management, backup validation, disaster recovery readiness, and adherence to change management processes
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 Collaborate with internal teams, vendors, and outsourced support providers to ensure service availability, operational excellence, and successful project delivery
 </li>
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 Participate in infrastructure projects, upgrades, migrations, audits, and security improvement initiatives
 
 
 </li>
 </ul>
 
 Technical Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong hands-on experience with enterprise networking technologies including routing, switching, and wireless technologies
 </li>
 <li>
 Strong experience with enterprise security solutions
 </li>
 <li>
 Experience with web application firewalls, load balancers, reverse proxies, and secure remote access technologies
 </li>
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 Good understanding of cybersecurity frameworks, segmentation models, zero-trust concepts, and security operations
 </li>
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 Experience in enterprise monitoring, logging, and troubleshooting tools
 </li>
 <li>
 Strong analytical, troubleshooting, and incident management skills
 </li>
 <li>
 Experience working in enterprise environments with high availability and strict compliance requirements
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications
 
 
 
 <li>
 Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field
 </li>
 <li>
 Professional certifications are highly preferred, such as:
 </li>
 <ul>
 <li>
 CCNP Enterprise / Security
 </li>
 <li>
 PCNSE
 </li>
 <li>
 NSE
 </li>
 <li>
 CISSP
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 <li>
 F5 Certifications
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 5-7 years of experience in enterprise network, security, and communication administration
 </li>
 </ul>
</div>

Senior System Admin

<div>
 
 Role Summary
 
 
 
 our company is hiring an
 
 AI Product Manager
 
 to own the operational line of the Technology team - task assignment, delivery cadence, performance tracking, documentation, and discipline - while keeping AI product delivery on track. This role runs the day-to-day engine of the team so engineers and data scientists can focus on building. The technical/architecture direction stays with the Technical Head; this role partners with that line but owns how work is planned, tracked, and shipped.
 
 
 The role combines
 
 understanding stakeholder requirements and leading client technical meetings
 
 , a
 
 hands-on understanding of how AI systems are deployed and how AI products are managed
 
 , and a
 
 research mandate to advance D proprietary models and agentic layers
 
 . These capabilities matter far more than years on a CV, which is why we are opening this at a mid-level (2-5 years) for a sharp, client-facing operator who can grow with the company.
 
 
 <ul>
 <li>
 Core Competencies
 
 
 </li>
 </ul>
 Candidates will be assessed against the following areas:
 
 
 <li>
 Stakeholder requirements &amp; client technical meetings - leads client and stakeholder technical meetings with confidence, asks the right questions to surface real needs and constraints, captures and documents requirements clearly, translates them into specs and tasks for the team, and manages expectations and scope throughout delivery. Comfortable being the technical face of in front of clients
 </li>
 <li>
 AI systems deployment - practical understanding of the AI/ML delivery lifecycle: moving models and AI features from prototype to production, MLOps basics (versioning, retraining, monitoring, rollback), data pipelines, evaluation, and the operational risks of running AI in production. Able to spot delivery blockers early and hold an engineering team accountable to a deployment plan
 </li>
 <li>
 AI product management - translating business goals into a prioritised backlog, writing clear specs and acceptance criteria, running an analysis-before-development workflow, managing scope against client commitments, and owning roadmap, releases, and stakeholder communication for AI products
 </li>
 <li>
 Applied AI research direction - able to read the landscape of models and agentic techniques, frame research objectives, and steer the team toward greater in-house capability - reducing dependence on third-party models and building proprietary models and agentic layers into our company AI systems
 </li>
 <li>
 Key Responsibilities
 </li>
 <li>
 Stakeholder requirements &amp; client meetings
 </li>
 <li>
 lead client and stakeholder technical meetings, elicit and document requirements, translate them into clear specs and tasks, manage scope and expectations, and act as the technical point of contact between the client, leadership, and the team
 </li>
 <li>
 Team &amp; operations management
 </li>
 <li>
 assign and balance work across the Technology team, run the weekly delivery cadence, remove blockers, and own team discipline and ways of working
 </li>
 <li>
 Delivery &amp; product ownership
 </li>
 <li>
 maintain the backlog and roadmap for the Paula and -Hub products, enforce the analysis-before-development workflow, and ensure no client commitments are made without proper scoping
 </li>
 <li>
 Research &amp; proprietary capability
 </li>
 <li>
 set and drive research objectives to grow own models and agentic layers, run a pipeline of experiments alongside delivery, and progressively move the AI systems from off-the-shelf components toward proprietary, in-house capability
 </li>
 <li>
 Performance &amp; KPIs
 </li>
 <li>
 track weekly KPIs, run progress reviews, evaluate performance, and surface risks to leadership early
 </li>
 <li>
 Documentation &amp; process
 </li>
 <li>
 ensure all work is documented and stored in the shared knowledge base, keep process living and followed, and onboard new joiners into it
 </li>
 <li>
 Meeting cadence
 </li>
 run the standing weekly structure (e.g. Career Hub, client, and planning sessions) and keep them focused and outcome-driven.
 <li>
 Tools &amp; Ways of Working - AI-Assisted Operations
 
 
 </li>
 our company runs its team operations with AI assistants (
 
 Cowork-style skills/agents
 
 ) connected directly to the tools the team lives in. The AI Product Manager is expected to use and improve this setup to run the team in the most efficient way, including:
 
 
 <ul>
 <li>
 ClickUp (mandatory) - AI-assisted task creation, assignment, status sync, and KPI/progress reporting; ClickUp is the single source of truth for all work
 </li>
 <li>
 Documents (Google Drive / knowledge base) - AI-assisted drafting, organising, and retrieval of specs, processes, meeting notes, and deliverables; all documentation lives in the shared drive
 </li>
 <li>
 Code repository - connected read access to the repo to track delivery progress, link work items to commits/PRs, and keep product status grounded in what is actually shipping
 
 
 </li>
 </ul>
 Comfort with AI/agentic tooling to automate routine operations (status roll-ups, reminders, reporting, document generation) is a core part of the job, not a bonus.
 
 
 
 Requirements
 
 
 
 
 
 Required Qualifications
 
 
 
 
 <ul>
 <li>
 2 - 5 years in technical product management, AI/ML product or delivery management, technical operations, or team lead roles within a software / AI / data environment
 </li>
 <li>
 Experience leading client / stakeholder technical meetings and gathering and documenting requirements
 </li>
 <li>
 Demonstrated understanding of AI systems deployment and AI product management
 </li>
 <li>
 Awareness of current models, agentic frameworks, and the build-vs-buy trade-offs for AI capability
 </li>
 <li>
 Hands-on experience running a work-management tool (ClickUp, Jira, Linear, Asana, or similar) for a delivery team
 </li>
 <li>
 Strong organisation, written communication, and stakeholder-management skills; fluent English and Arabic
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
 </li>
 <li>
 Nice to Have
 </li>
 <li>
 Exposure to MLOps tooling, cloud platforms, or data-pipeline orchestration
 </li>
 <li>
 Hands-on experience building or fine-tuning models, or designing agentic / multi-agent systems
 </li>
 <li>
 Experience building or customising AI/automation workflows (Cowork, agents, scripting, or no-code automation)
 </li>
 <li>
 Prior experience managing a client-facing product squad
 </li>
 <li>
 First 90 Days - Success Measures
 </li>
 <li>
 Trusted to run client technical meetings solo, with requirements captured and signed off clearly
 </li>
 <li>
 Fully owns the ClickUp board and weekly KPI reporting for both product squads
 </li>
 <li>
 A defined research roadmap for proprietary models and agentic layers, with first experiments under way
 </li>
 <li>
 Team operating process documented, followed, and kept current in the shared drive
 </li>
 <li>
 Predictable weekly delivery cadence with blockers surfaced and resolved early
 </li>
 <li>
 AI-assisted operations (reporting, reminders, documentation) running with minimal manual effort
 </li>
 </ul>
</div>

AI Product Manager - Delivery & Operations

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