وظائف مهندس الكترونيات في الأردن

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities</b></p><ul><li>Lead, mentor, and develop software engineers and QA teams, ensuring high performance and growth.</li><li>Establish engineering standards, best practices, and code quality guidelines.</li><li>Define and execute technical roadmaps aligned with business and product goals.</li><li>Oversee backend development using PHP, Laravel, and relational databases.</li><li>Architect scalable platforms and guide decisions on performance, scalability, and maintainability.</li><li>Lead the implementation of AI-driven features, including LLMs, RAG pipelines, and automation workflows.</li><li>Design and manage system integrations using REST/SOAP APIs and ensure data synchronization with external platforms (ERP, WMS, logistics, etc.).</li><li>Ensure timely project delivery, manage deployments, and oversee infrastructure, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications</b></p><ul><li>9 15 years of experience in software development.</li><li>Strong hands-on experience with PHP and Laravel frameworks.</li><li>Proven experience building scalable web platforms and enterprise systems.</li><li>Solid experience with API integrations and distributed system architectures.</li><li>Experience working with cloud platforms such as AWS and GCP.</li><li>Demonstrated leadership experience managing engineering teams.</li><li>Strong communication skills with the ability to collaborate across teams.</li><li>Fluent in English</li></ul><p>Nice to Have</p><ul><li>Knowledge of Java or Node.js.</li><li>Experience with Python for integrations, automation, or data processing.</li><li>Background in supply chain, logistics, or ERP systems.</li></ul><p></p></section>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Job summary</h4> <p>Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions. The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle. This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.</p> <h4>Key responsibilities</h4> <ul> <li>Lead the end-to-end implementation and deployment of Oracle Aconex solutions.</li> <li>Design scalable Aconex solution architectures based on business and project requirements.</li> <li>Gather and analyze business and technical requirements and translate them into solution designs.</li> <li>Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.</li> <li>Develop implementation strategies, deployment plans, and solution roadmaps.</li> <li>Lead technical workshops and provide expert guidance to business and project stakeholders.</li> <li>Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.</li> <li>Plan and execute document and data migration activities from legacy systems to Oracle Aconex.</li> <li>Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.</li> <li>Ensure compliance with document control standards, governance policies, and industry best practices.</li> <li>Troubleshoot complex technical issues and recommend effective solutions.</li> <li>Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.</li> <li>Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.</li> </ul> <h4>Requirements</h4> <h4>Required qualifications</h4> <ul> <li>Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.</li> <li>8–10+ years of relevant experience, including extensive hands-on experience with Oracle Aconex.</li> <li>Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.</li> <li>Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.</li> <li>Experience designing enterprise document management solutions and implementation strategies.</li> <li>Experience integrating Oracle Aconex with enterprise systems and external applications.</li> <li>Strong understanding of document management, project information management, and engineering/construction workflows.</li> <li>Excellent analytical, problem-solving, communication, and stakeholder management skills.</li> <li>Experience leading technical teams and coordinating implementation activities.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Oracle Aconex certifications are highly desirable.</li> <li>Experience in engineering, construction, infrastructure, real estate, or capital projects.</li> <li>Knowledge of document control best practices and project information management.</li> <li>Experience with APIs, system integrations, and data migration.</li> <li>Familiarity with cloud-based enterprise applications and digital transformation initiatives.</li> <li>Experience working in remote and cross-functional project environments.</li> </ul> <h4>Key skills</h4> <ul> <li>Oracle Aconex architecture</li> <li>Oracle Aconex implementation & deployment</li> <li>Solution design</li> <li>Technical leadership</li> <li>Document control & document management</li> <li>Workflow configuration</li> <li>System integration</li> <li>Data & document migration</li> <li>User & security configuration</li> <li>Stakeholder management</li> <li>Technical documentation</li> <li>Testing (SIT/UAT) & go-live support</li> <li>Problem solving & troubleshooting</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>

<p><h4>Description</h4> <p>We are looking for a skilled microservices developer to join our team. In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Design, develop, and maintain microservices-based applications using modern software architecture principles.</li> <li>Build and maintain RESTful APIs and backend services for internal and external applications.</li> <li>Implement communication between services using REST APIs, messaging queues, or event-driven architectures.</li> <li>Ensure the scalability, resilience, performance, and availability of microservices.</li> <li>Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.</li> <li>Implement security best practices, including authentication, authorization, and data protection.</li> <li>Participate in code reviews and maintain high coding standards and software development best practices.</li> <li>Troubleshoot and resolve production issues related to microservices and system integrations.</li> <li>Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.</li> <li>Stay up to date with emerging technologies and contribute to continuous improvement initiatives.</li> </ul> <h4>Key performance indicators (KPIs)</h4> <ul> <li>Timely delivery of microservices features and project milestones.</li> <li>High system uptime and service reliability.</li> <li>API performance and response times.</li> <li>Reduction in system integration issues.</li> <li>Code quality and low defect rates.</li> <li>Successful deployment and release cycle effectiveness.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are looking for a skilled microservices developer to join our team. In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Design, develop, and maintain microservices-based applications using modern software architecture principles.</li> <li>Build and maintain RESTful APIs and backend services for internal and external applications.</li> <li>Implement communication between services using REST APIs, messaging queues, or event-driven architectures.</li> <li>Ensure the scalability, resilience, performance, and availability of microservices.</li> <li>Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.</li> <li>Implement security best practices, including authentication, authorization, and data protection.</li> <li>Participate in code reviews and maintain high coding standards and software development best practices.</li> <li>Troubleshoot and resolve production issues related to microservices and system integrations.</li> <li>Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.</li> <li>Stay up to date with emerging technologies and contribute to continuous improvement initiatives.</li> </ul> <h4>Key performance indicators (KPIs)</h4> <ul> <li>Timely delivery of microservices features and project milestones.</li> <li>High system uptime and service reliability.</li> <li>API performance and response times.</li> <li>Reduction in system integration issues.</li> <li>Code quality and low defect rates.</li> <li>Successful deployment and release cycle effectiveness.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Key Responsibilities : </strong> </p> <p>Analyze business and technical requirements and create comprehensive test plans and test cases.<br>Design, execute, and maintain manual and automated test suites.<br>Perform Functional, Regression, Integration, System, Smoke, Sanity, UAT, and End-to-End testing.<br>Conduct API testing using RESTful services and validate responses.<br>Perform database testing and data integrity validation using SQL.<br>Identify, document, track, and verify software defects.<br>Collaborate with developers and product teams throughout the SDLC and Agile ceremonies.<br>Participate in requirement reviews and provide feedback on testability and quality risks.<br>Maintain and enhance automation frameworks using tools such as Selenium, Playwright, Cypress, or Appium.<br>Integrate automated tests into CI/CD pipelines.<br>Mentor junior QA engineers and promote QA best practices.<br>Support performance testing activities when required. </p> <p> <br> </p> <p> <strong>Required Qualifications :</strong> </p> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field.<br>5+ years of experience in Software Quality Assurance.<br>Strong knowledge of software testing methodologies and QA processes.<br>Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, or Appium.<br>Strong SQL skills and experience with database validation.<br>Experience working in Agile/Scrum environments.<br>Knowledge of defect tracking and test management tools such as Jira, TestRail, or Azure DevOps.<br>Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.<br>Strong analytical, troubleshooting, and communication skills</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a skilled Microservices Developer to join our team.<br> In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.<br> Key Responsibilities Design, develop, and maintain microservices-based applications using modern software architecture principles.<br> Build and maintain RESTful APIs and backend services for internal and external applications.<br> Implement communication between services using REST APIs, messaging queues, or event-driven architectures.<br> Ensure the scalability, resilience, performance, and availability of microservices.<br> Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.<br> Implement security best practices, including authentication, authorization, and data protection.<br> Participate in code reviews and maintain high coding standards and software development best practices.<br> Troubleshoot and resolve production issues related to microservices and system integrations.<br> Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.<br> Stay up to date with emerging technologies and contribute to continuous improvement initiatives.<br> Key Performance Indicators (KPIs) Timely delivery of microservices features and project milestones.<br> High system uptime and service reliability.<br> API performance and response times.<br> Reduction in system integration issues.<br> Code quality and low defect rates.<br> Successful deployment and release cycle effectiveness.<br></span> </div>

<p><h4>Description</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. The team works with organizations to solve complex business challenges through thoughtful technology delivery, practical expertise, and a strong focus on quality.</p> <p>As a senior React developer, you will play a key role in shaping modern frontend experiences that support impactful digital products. This role offers the opportunity to contribute to sophisticated user interfaces, influence frontend standards, and collaborate closely with cross-functional teams to deliver reliable, polished solutions.</p> <h4>Responsibilities</h4> <ul> <li>Build and maintain scalable React applications with reusable component architecture.</li> <li>Integrate REST APIs and manage application state effectively in complex interfaces.</li> <li>Review code, mentor developers, and promote frontend best practices within the team.</li> <li>Optimize frontend performance, accessibility, and cross-browser compatibility across web applications.</li> <li>Collaborate with designers and backend engineers to deliver polished user experiences.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience building production React applications with modern JavaScript and TypeScript.</li> <li>Strong experience with state management, REST API integration, and designing reusable component architectures for frontend applications.</li> <li>Proficiency with Git and experience using React Testing Library.</li> <li>Experience working in Agile development workflows.</li> <li>Proven ability to optimize frontend performance while implementing accessible interfaces and ensuring cross-browser compatibility.</li> <li>Experience mentoring developers, reviewing code, and driving frontend best practices.</li> <li>Eligible to work in Jordan.</li> </ul> <h4>Benefits</h4> <p>Class A health insurance</p></p><p></p>

<p><h4>Description</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. The team works with organizations to solve complex business challenges through thoughtful technology delivery, practical expertise, and a strong focus on quality.</p> <p>As a senior React developer, you will play a key role in shaping modern frontend experiences that support impactful digital products. This role offers the opportunity to contribute to sophisticated user interfaces, influence frontend standards, and collaborate closely with cross-functional teams to deliver reliable, polished solutions.</p> <h4>Responsibilities</h4> <ul> <li>Build and maintain scalable React applications with reusable component architecture.</li> <li>Integrate REST APIs and manage application state effectively in complex interfaces.</li> <li>Review code, mentor developers, and promote frontend best practices within the team.</li> <li>Optimize frontend performance, accessibility, and cross-browser compatibility across web applications.</li> <li>Collaborate with designers and backend engineers to deliver polished user experiences.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience building production React applications with modern JavaScript and TypeScript.</li> <li>Strong experience with state management, REST API integration, and designing reusable component architectures for frontend applications.</li> <li>Proficiency with Git and experience using React Testing Library.</li> <li>Experience working in Agile development workflows.</li> <li>Proven ability to optimize frontend performance while implementing accessible interfaces and ensuring cross-browser compatibility.</li> <li>Experience mentoring developers, reviewing code, and driving frontend best practices.</li> <li>Eligible to work in Jordan.</li> </ul> <h4>Benefits</h4> <p>Class A health insurance</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries.<br> The team works with organizations to solve complex business challenges through thoughtful technology delivery, practical expertise, and a strong focus on quality.<br> As a Senior React Developer, you will play a key role in shaping modern frontend experiences that support impactful digital products.<br> This role offers the opportunity to contribute to sophisticated user interfaces, influence frontend standards, and collaborate closely with cross-functional teams to deliver reliable, polished solutions.<br> Responsibilities Build and maintain scalable React applications with reusable component architecture.<br> Integrate REST APIs and manage application state effectively in complex interfaces.<br> Review code, mentor developers, and promote frontend best practices within the team.<br> Optimize frontend performance, accessibility, and cross-browser compatibility across web applications.<br> Collaborate with designers and backend engineers to deliver polished user experiences.<br> Class A Health Insurance 5+ years of experience building production React applications with modern JavaScript and TypeScript.<br> Strong experience with state management, REST API integration, and designing reusable component architectures for frontend applications.<br> Proficiency with Git and experience using React Testing Library.<br> Experience working in Agile development workflows.<br> Proven ability to optimize frontend performance while implementing accessible interfaces and ensuring cross-browser compatibility.<br> Experience mentoring developers, reviewing code, and driving frontend best practices.<br> Eligible to work in Jordan.<br></span> </div>

<p><h4>Description</h4> <p><strong>About Maqsam</strong><br> Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <p><strong>Your opportunity</strong><br> As a senior AI agent architect, you will play a key role in designing, optimizing, and scaling AI-powered customer experiences for leading businesses across the region. You will be responsible for translating client requirements, business flows, and knowledge bases into reliable, high-performing AI agents that deliver accurate and natural interactions. This role involves structuring and improving knowledge sources, designing prompts and workflows, evaluating AI agent behavior, and continuously enhancing performance through testing and analysis. As the bridge between technical teams and client needs, you will collaborate closely with product, engineering, and customer success teams to ensure AI solutions are practical, scalable, and aligned with business goals. You will also contribute to defining best practices for AI agent architecture, prompt quality, and conversational design while helping shape the future of Arabic AI experiences at Maqsam.</p> <h4>Key responsibilities</h4> <ul> <li>Review client requirements, knowledge base documents, URLs, and business flows to assess readiness for AI agent implementation.</li> <li>Structure and optimize knowledge bases to improve retrieval quality, contextual accuracy, and agent reliability.</li> <li>Design, tune, and iterate on prompts, system messages, and agent instructions to improve response quality.</li> <li>Set up and improve AI agent workflows, actions, and interaction logic.</li> <li>Identify gaps, edge cases, and failure points in AI agent behavior and propose practical improvements.</li> <li>Define testing approaches for AI agents, including stress testing, scenario-based testing, and quality checks.</li> <li>Review testing results and client feedback, then translate them into clear improvements.</li> <li>Collaborate with product, engineering, customer success, and other teams to align AI agent behavior with client needs.</li> <li>Document decisions, issues, and recommendations clearly for internal teams and clients.</li> <li>Help define best practices for AI agent design, knowledge base structuring, prompt quality, and evaluation.</li> <li>Support and guide less experienced team members when needed.</li> </ul> <h4>Who we’re looking for</h4> <ul> <li>Strong technical background with hands-on experience in conversational AI, LLMs, AI agents, or chatbot platforms.</li> <li>Practical experience in prompt engineering, workflow design, automation systems, or AI agent configuration.</li> <li>Good understanding of knowledge base structuring, content quality, and how content impacts AI agent performance.</li> <li>Ability to analyze AI agent behavior, identify root causes of failures, and propose clear solutions.</li> <li>Experience with testing AI systems, including scenario testing, prompt evaluation, or quality assurance.</li> <li>Strong critical thinking and attention to detail.</li> <li>Excellent written and verbal communication skills, especially when explaining technical decisions or giving feedback.</li> <li>Ability to work effectively with cross-functional teams, including product, engineering, customer success, and client-facing teams.</li> <li>At least 2–3 years of relevant work experience is preferred.</li> <li>Experience with RAG systems, MCPs, external tools, APIs, or voice agents is a plus.</li> <li>Ability to work in a fast-changing environment and take ownership of ambiguous problems.</li> </ul> <h4>What we provide you</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority.</li> <li>A collaborative and friendly environment with flexible hours.</li> <li>Many opportunities to learn, grow, and become a world-class professional.</li> <li>A fair compensation.</li> <li>A culture that thrives on open communication and transparency.</li> <li>First-class health insurance.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>1- Administrative and Leadership Supervision:</b></p><p>• Lead and direct the warehouse team (Warehouse Keeper, Assistants) while assigning daily tasks and evaluating their performance regularly.</p><p>• Implement OHSAS/ISO safety and health standards within the warehouses to ensure a safe and organized working environment.</p><p><br></p><p><b>2- Inventory Management:</b></p><p>• Strictly monitor the movement of technical inventory (spare parts, tools, industrial equipment) through documented processes (receiving, issuing, returning, inter-warehouse transfers).</p><p>• Design and implement an advanced Barcoding/Coding System that ensures 100% accuracy and quick access to items.</p><p>• Plan and oversee all types of stocktaking (surprise stocktaking, quarterly stocktaking, and annual comprehensive stocktaking) and reconcile with the records.</p><p><br></p><p><b>3- Strategic Planning and Supply Chain:</b></p><p>• Continuously monitor inventory levels and identify critical stock transactions: safety stock limits, maximum limits, and reorder points to prevent excess or shortage.</p><p>• Conduct regular meetings and coordinate with the maintenance manager and technical engineers to understand preventive and corrective maintenance plans, ensuring critical parts are secured in advance to prevent production line stoppages.</p><p>• Prepare and validate technical purchase requests based on actual needs and consumption patterns, and coordinate with the procurement department to ensure timely delivery (JIT).</p><p><br></p><p><b>4- Technical Inspection and Quality:</b></p><p>• Review and inspect incoming shipments upon arrival, reading catalogs and technical specifications to ensure compliance with purchase orders before signing for receipt.</p><p>• Manage and track requirements and specifications related to defective or non-compliant items with the procurement department and suppliers.</p><p><br></p><p><b>5- Reporting and Data Analysis:</b></p><p>• Professionally work on ERP Systems and database warehouses to update inventory records promptly.</p><p>• Prepare and submit regular reports to senior management including: inventory movement report, slow-moving items report, dead stock report, actual consumption analysis, and variance analysis.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Proficient in data analysis using Microsoft Excel.</li><li>Strong leadership personality capable of managing individuals and resolving conflicts under work pressure.</li><li>Negotiation and persuasion skills.</li><li>Strong observation and auditing capabilities.</li><li>Ability to work under pressure.</li></ul></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Responsibilities:</strong></p> <ul> <li>Lead and manage multidisciplinary teams including data analysts, data engineers, business intelligence developers, data scientists, and data application specialists while fostering a high-performance and collaborative work environment.</li> <li>Develop and implement data analytics and AI strategies aligned with organizational objectives to support business growth and operational improvement.</li> <li>Oversee the analysis of complex datasets to identify trends, patterns, and actionable insights for stakeholders.</li> <li>Supervise the development and implementation of predictive models, machine learning algorithms, and statistical methods to address business challenges.</li> <li>Ensure the creation of effective dashboards, reports, and visualizations that communicate insights clearly to both technical and non-technical stakeholders.</li> <li>Establish data governance standards and data quality policies to ensure accuracy, consistency, and reliability across analytics operations.</li> <li>Collaborate closely with business leaders and stakeholders to understand data needs and provide strategic recommendations that support decision-making.</li> <li>Monitor and evaluate the performance of data analytics initiatives and identify opportunities for continuous improvement and operational efficiency.</li> <li>Mentor and support team members to enhance their technical and professional capabilities in data analytics and AI.</li> <li>Stay updated on emerging trends, technologies, and best practices in data science, analytics, and artificial intelligence to strengthen team capabilities and innovation.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li>Bachelor s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field; Master s or PhD degree preferred.</li> <li>Minimum of 4 6 years of professional experience, including at least 2 years in a related or supervisory role.</li> <li>Strong knowledge of data analytics, machine learning, statistical modeling, and artificial intelligence concepts.</li> <li>Experience in managing and leading analytics or AI teams in a collaborative environment.</li> <li>Proficiency in programming languages such as Python, R, and SQL for data analysis, modeling, and data processing.</li> <li>Knowledge of data governance principles, data quality management, and analytics best practices.</li> <li>Strong analytical thinking and problem-solving skills with the ability to manage complex data challenges.</li> <li>Ability to translate technical findings into business insights and communicate effectively with both technical and non-technical stakeholders.</li> <li>Experience in project management, strategic planning, and performance monitoring.</li> <li>Familiarity with organizational systems, policies, compliance requirements, and operational frameworks.</li> <li>Strong communication, presentation, leadership, and stakeholder management skills.</li> <li>Commitment to ethical data practices and compliance with data privacy regulations.</li> <li>Knowledge of financial data analysis, predictive analytics, and risk measurement concepts is considered an advantage.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualifications:</strong></p> <ul> <li>Bachelor s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field; Master s or PhD degree preferred.</li> <li>Minimum of 4 6 years of professional experience, including at least 2 years in a related or supervisory role.</li> <li>Strong knowledge of data analytics, machine learning, statistical modeling, and artificial intelligence concepts.</li> <li>Experience in managing and leading analytics or AI teams in a collaborative environment.</li> <li>Proficiency in programming languages such as Python, R, and SQL for data analysis, modeling, and data processing.</li> <li>Knowledge of data governance principles, data quality management, and analytics best practices.</li> <li>Strong analytical thinking and problem-solving skills with the ability to manage complex data challenges.</li> <li>Ability to translate technical findings into business insights and communicate effectively with both technical and non-technical stakeholders.</li> <li>Experience in project management, strategic planning, and performance monitoring.</li> <li>Familiarity with organizational systems, policies, compliance requirements, and operational frameworks.</li> <li>Strong communication, presentation, leadership, and stakeholder management skills.</li> <li>Commitment to ethical data practices and compliance with data privacy regulations.</li> <li>Knowledge of financial data analysis, predictive analytics, and risk measurement concepts is considered an advantage.</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>1- Administrative and Leadership Supervision:</b></p><p>• Lead and direct the warehouse team (Warehouse Keeper, Assistants) while assigning daily tasks and evaluating their performance regularly.</p><p>• Implement OHSAS/ISO safety and health standards within the warehouses to ensure a safe and organized working environment.</p><p><br></p><p><b>2- Inventory Management:</b></p><p>• Strictly monitor the movement of technical inventory (spare parts, tools, industrial equipment) through documented processes (receiving, issuing, returning, inter-warehouse transfers).</p><p>• Design and implement an advanced Barcoding/Coding System that ensures 100% accuracy and quick access to items.</p><p>• Plan and oversee all types of stocktaking (surprise stocktaking, quarterly stocktaking, and annual comprehensive stocktaking) and reconcile with the records.</p><p><br></p><p><b>3- Strategic Planning and Supply Chain:</b></p><p>• Continuously monitor inventory levels and identify critical stock transactions: safety stock limits, maximum limits, and reorder points to prevent excess or shortage.</p><p>• Conduct regular meetings and coordinate with the maintenance manager and technical engineers to understand preventive and corrective maintenance plans, ensuring critical parts are secured in advance to prevent production line stoppages.</p><p>• Prepare and validate technical purchase requests based on actual needs and consumption patterns, and coordinate with the procurement department to ensure timely delivery (JIT).</p><p><br></p><p><b>4- Technical Inspection and Quality:</b></p><p>• Review and inspect incoming shipments upon arrival, reading catalogs and technical specifications to ensure compliance with purchase orders before signing for receipt.</p><p>• Manage and track requirements and specifications related to defective or non-compliant items with the procurement department and suppliers.</p><p><br></p><p><b>5- Reporting and Data Analysis:</b></p><p>• Professionally work on ERP Systems and database warehouses to update inventory records promptly.</p><p>• Prepare and submit regular reports to senior management including: inventory movement report, slow-moving items report, dead stock report, actual consumption analysis, and variance analysis.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Proficient in data analysis using Microsoft Excel.</li><li>Strong leadership personality capable of managing individuals and resolving conflicts under work pressure.</li><li>Negotiation and persuasion skills.</li><li>Strong observation and auditing capabilities.</li><li>Ability to work under pressure.</li></ul></div>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in material science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>Two or more years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>