Fire Fighting EngineerJobs - Amman Jordan

<p><h4>Description</h4> <p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js + TypeScript codebase.</p> <p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p> <p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p> <p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p> <h4>What you'll do</h4> <li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li> <li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li> <li>Debug and troubleshoot complex issues in live customer environments.</li> <li>Implement fixes, integration enhancements, or small features directly in the Node.js / TypeScript codebase.</li> <li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li> <li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li> <li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li> <h4>Requirements</h4> <li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li> <li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li> <li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li> <li>Good understanding of (or fast ability to learn) customer support / helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li> <li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li> <li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li> <li>Comfortable working remotely with customers across multiple global time zones.</li> <h4>Benefits</h4> <li>Top of the market compensation</li> <li>Health insurance</li> <li>Working at a high-growth, YC-backed startup</li></p><p></p>

<p><h4>Description</h4> <p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js + TypeScript codebase.</p> <p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p> <p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p> <p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p> <h4>What you'll do</h4> <li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li> <li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li> <li>Debug and troubleshoot complex issues in live customer environments.</li> <li>Implement fixes, integration enhancements, or small features directly in the Node.js / TypeScript codebase.</li> <li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li> <li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li> <li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li> <h4>Requirements</h4> <li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li> <li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li> <li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li> <li>Good understanding of (or fast ability to learn) customer support / helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li> <li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li> <li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li> <li>Comfortable working remotely with customers across multiple global time zones.</li> <h4>Benefits</h4> <li>Top of the market compensation</li> <li>Health insurance</li> <li>Working at a high-growth, YC-backed startup</li></p><p></p>

<ul><li><p><strong>Career Level:</strong> Senior</p></li><li><p><strong>Location: </strong>Amman, Jordan</p></li><li><p><strong>Education:</strong> Any</p></li><li><p><strong>Experience:</strong> 4-10 years</p></li><li><p><strong>Monthly Salary:</strong> JOD 500 - JOD 700</p></li><li><p><strong>Products/Industries</strong>: Industrial weighing scales, measuring instruments, instrumentation & process control, industrial automation, elevators & escalators, material handling & lifting equipment, tools/meters/ power tools & hardware, industrial electronics, electro-mechanical, marine, oil & gas, MEP, HVAC, IT, manufacturing machinery, packing and batching machines, commercial kitchen equipment, POS, office automation, wholesale office supplies, IT products / LV / ELV / BMS<br></p></li></ul><p><strong>Intro</strong>:</p><p>We are looking for dedicated and professional individuals to fill our Administrative Assistant and Executive Assistant positions. These roles are pivotal in supporting our daily operations and executive tasks. Ideal candidates are highly organized, proficient in multitasking, and capable of handling administrative challenges in a dynamic environment.</p><br><p><strong>Responsibilities:</strong></p><p><strong>A) Administrative Duties:</strong></p><ul><li><p>Handle daily administrative tasks, emails, records, and filing.</p></li><li><p>Assist management with schedules, reports, and follow-ups.</p></li><li><p>Monitor office supplies, petty cash, and general office requirements.</p></li><li><p>Coordinate with Sales, Operations, Warehouse, Suppliers, and Accounts when required.</p></li></ul><p><strong>B) HR Administration:</strong></p><ul><li><p>Assist in job posting, CV screening, interview scheduling, and candidate follow-up.</p></li><li><p>Maintain employee records, attendance, leave records, and HR documents.</p></li><li><p>Support onboarding, documentation, and internal HR communication.</p></li></ul><ul><li><p>Assist in job posting, CV screening, interview scheduling, and candidate follow-up.</p></li><li><p>Maintain employee records, attendance, leave records, and HR documents.</p></li><li><p>Support onboarding, documentation, and internal HR communication.</p></li></ul><p><strong>C) Accounting/ Bookkeeping:</strong></p><ul><li><p>Support basic AP/AR, invoice entry, receipts, payment follow-ups, and bookkeeping.</p></li><li><p>Experience with Odoo, Zoho Books, and Zoho Inventory is an advantage.</p></li></ul><p><strong>D) Supply Chain</strong></p><ul><li><p>Support basic supply chain tasks, including supplier follow-ups, shipment coordination, stock updates, and order status tracking.</p></li></ul><p><strong>E) Executive Support (Only EA Position):</strong></p><ul><li><p>Provide direct administrative support to the General Manager, including calendar management, correspondence, meeting coordination, and project follow-up.</p></li><li><p>Support the implementation of management decisions, company policies, and strategic initiatives.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Proven experience as a Senior Administrative Assistant, Office Administrator, or Office Coordinator, Executive Assistant is preferred.</p></li><li><p>Must be skilled and experienced in at least two of the following areas: Administrative Assistance, HR Administration, Accounting/Bookkeeping, or Supply Chain.</p></li><li><p>Strong written and verbal communication skills, with professional email drafting ability.</p></li><li><p>Proficient in MS Word, Excel, Outlook, and general office applications.</p></li><li><p>Experience with <strong>Zoho Books, Zoho Inventory, Zoho CRM, or Odoo</strong> is an advantage.</p></li><li><p>Highly organized, detail-oriented, and able to manage multiple administrative tasks with minimum supervision.</p></li><li><p>Proactive, reliable, and willing to learn new systems and procedures.</p><p><br></p></li></ol><p><strong>Additional Qualifying Advantages:</strong></p><ul><li><p>Jordanian driving license.</p></li><li><p>Experience in Digital Marketing or Social Media.</p></li><li><p>Engineering Degree specialized as Mechatronics Engineer will be a Plus+.</p><p><br></p></li></ul><p><strong>How to Apply:</strong></p><ol type="1"><li><p>Visit our careers page</p></li><li><p>Select the relevant job opening</p></li><li><p>Complete the application form</p></li></ol><p><br></p><p><br></p><p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role:</p><p>We re seeking an experienced data scientists to deliver insights and act as the hands on modeling lead on client engagements. You will slice and dice data using various methods and create new visions for the future. You ll frame problems, engineer features, build and deploy models, and monitor them in production to support the customer value creation activities. You will ship models that run at scale, withstand audit, and clearly link to incremental business value. While mining, interpreting, and cleaning the data, you will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data s full potential. The ideal candidate will have mathematical and statistical expertise, extensive programming experience in multiple languages along with natural curiosity and a creative mind.</p><p>Core Responsibilities:</p><p>Problem Framing &amp; Target Definition:</p><ul><li>Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails</li><li>Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables</li></ul><p>Data Analysis:</p><ul><li>Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries</li><li>Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy</li><li>Analyze data for trends and patterns, and interpret data with clear objectives in mind</li></ul><p>Model Development:</p><ul><li>Create reproducible pipelines and a feature registry to calculate model inputs</li><li>Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability</li><li>Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)</li></ul><p>Operationalization:</p><ul><li>Implement analytical models in production by collaborating with software developers and machine-learning engineers</li><li>Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist</li><li>Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria</li></ul><p>Governance, Risk &amp; Explainability:</p><ul><li>Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts</li></ul><p>Enablement &amp; Acceleration:</p><ul><li>Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring</li><li>Contribute to practice POVs/case studies as needed</li></ul><p>What we look for</p><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 to 6 years of hands-on experience in applied data science with proficiency in data mining, mathematics, and statistical analysis</li><li>Experience either in an in house data science role at a leading industry player or in a consulting company AI &amp; Advanced Analytics team with multi industry exposure</li><li>Structured problem solver with strong client facilitation skills and executive storytelling ability (able to translate technical findings into clear commercial recommendations)</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Ability to work with multiple programming languages and datamining tools</li><li>Able to work effectively in a dynamic, research-oriented group that has several concurrent projects</li><li>Bachelor s degree in the field of computer science is preferred (not mandatory)</li></ul><p>Technical Expertise:</p><ul><li>Data platforms: Azure Synapse/Databricks, Google BigQuery, Snowflake, or Amazon Redshift</li><li>Languages: SQL, Python, R and SAS</li><li>BI/Reporting (any): Power BI, Tableau</li></ul><p></p></section>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> <h4>Soft skills & professional competencies</h4> <li>Strong analytical and problem-solving skills.</li> <li>Excellent documentation and technical reporting capabilities.</li> <li>Ability to work under pressure and manage high-risk infrastructure changes.</li> <li>Effective communication with technical and non-technical stakeholders.</li> <h4>Education & certifications (preferred)</h4> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> <h4>Soft skills & professional competencies</h4> <li>Strong analytical and problem-solving skills.</li> <li>Excellent documentation and technical reporting capabilities.</li> <li>Ability to work under pressure and manage high-risk infrastructure changes.</li> <li>Effective communication with technical and non-technical stakeholders.</li> <h4>Education & certifications (preferred)</h4> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li> </ul></p><p></p>

<p>The Senior Quality Control Engineer will ensure that products are designed, built, and produced in accordance with customer specifications and quality requirements. This position is typically offered full time and reports to QA Lead. Those well-suited to this career enjoy problem-solving and working collaboratively with others. Responsibilities Perform Tests : perform a variety of tests, such as, smoke, regression, integration, and performance, cross browser, cross platform and responsive testing (PC, mobile and tablet), API testing, and any needed test per the test plan to confirm the stability of software systems. Report Bugs : report clear bugs and track them using tools like DevOps. Perform Automation : generate automation scripts. They research and use tools with the goal of increasing automation. Work with Team Members : work collaboratively with QC, development, and business groups to complete testing. Design Test Case : Create detailed, comprehensive and well-structured test cases, and review test case written by joiners or mid-level Send test results report, after confirming it with QA lead. Documentation : Building project documentation such as user Manuals. Participating in full life cycle development. Performing business requirements review and verification. Problem Solving. Static testing Conduct UAT Performance testing Mentors and trains junior quality control engineers on policies and procedures and create tasks for them Identifies the root cause of quality problems, and coordinates modifications or other corrective actions. Performs other duties as assigned. Architecting new automated test strategies and frameworks, in addition to creating, implementing and automating testing in support of software test requirements. develop, maintain, and enhance the test automation framework and automation infrastructure execute and report on planned tests, report and manage defects, regress software fixes for new and existing products Assist development with replicating and debugging problems and develop new test automation solutions as needed. demonstrates innovation, leadership, and mentorship skills in addition to possessing a strong technical and programming/test automation skill set. May assist with performance evaluations.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in engineering, science or information technology, or equivalent education and work experience. Professional certification, such as ISTQB-CTFL ISTQB-CTAL Problem-solving skills - QC testers have strong problem-solving skills that allow them to test software, identify bugs, and solve errors Automation experience - Hands-on experience with automation tools such as Selenium Web Driver. They have experience developing automation scripts Familiarity with testing - QC testers are knowledgeable of testing phases and approaches, including functional, regression, integration, and end-to-end Programming - QC testers may use programming languages to write tests as necessary, so they should have experience programming and coding Teamwork - working with other groups, QC testers have strong communication skills that allow them to collaborate with others. They communicate problems and coordinate with QC, development, and business groups to ensure products are free of errors Able to multi-task, triage issues, react well to changes, work independently or in a team setting in a fast-paced environment. Ability to travel outside Jordan according to business needs. Excellent command of written and spoken English. Hand-on experience with SQL commands</p>

<p>The Quality Assurance and Documentation Engineer is responsible for ensuring application quality, stability, and knowledge continuity across all systems. This role combines hands-on testing with structured technical documentation, ensuring that functional behavior, system architecture, integrations, and processes are fully understood, documented, and repeatable.</p><p>Responsibilities:</p><p><strong>Quality Assurance &amp; Testing</strong></p><ul><li>Plan, design, and execute functional, regression, and smoke test cases for web, API, Windows client, and mobile applications.</li><li>Validate business requirements against implemented features and acceptance criteria.</li><li>Test multi-tenant scenarios, role-based access, and permission logic.</li><li>Validate integrations with external systems (e.g., payment gateways).</li><li>Perform data validation testing on SQL Server to ensure data accuracy and integrity.</li><li>Identify, log, and track defects using Jira / Azure DevOps.</li><li>Verify bug fixes and prevent regressions.</li><li>Support User Acceptance Testing (UAT) and pre-production validation.</li></ul><p><strong>Release &amp; Environment Validation</strong></p><ul><li>Validate deployment readiness for QA, UAT, and Production environments.</li><li>Perform post-deployment verification and smoke testing.</li><li>Support hotfix validation and emergency releases.</li><li>Coordinate with DevOps and Development teams to ensure environment stability.</li></ul><p><strong>Test Documentation &amp; Standards</strong></p><ul><li>Create and maintain: test plans, test cases, test scenarios, and regression suites</li><li>Define and improve QA processes and testing standards.</li><li>Ensure repeatable, auditable testing practices aligned with SDLC.</li></ul><p><strong>Application &amp; Technical Documentation</strong></p><ul><li>Document application components including: modules and features, application flows, APIs and integrations, data flows and dependencies, and background jobs and scheduled processes.</li><li>Maintain up-to-date documentation for: architecture overview, deployment flows, and environment configurations</li><li>Ensure documentation is structured, accessible, and version controlled.</li><li>Work closely with developers to capture technical knowledge accurately.</li></ul><p><strong>Knowledge Management &amp; Transition</strong></p><ul><li>Lead documentation activities during vendor transition and knowledge transfer.</li><li>Ensure critical system knowledge is captured and not retained by individuals.</li><li>Support onboarding of new team members using documented materials.</li><li>Actively reduce single-point-of-failure risks.</li></ul><p><strong>SDLC &amp; Process Compliance</strong></p><ul><li>Ensure QA activities are embedded in the SDLC.</li><li>Validate that acceptance criteria are met before release approval.</li><li>Support sprint planning by estimating QA effort.</li><li>Participate in retrospectives to improve quality processes.</li></ul><p><strong>Tools &amp; Automation (Progressive)</strong></p><ul><li>Support test automation initiatives where applicable.</li><li>Collaborate with DevOps on CI/CD quality gates.</li><li>Identify opportunities to improve testing efficiency and coverage.</li></ul><p><strong>Collaboration &amp; Communication</strong></p><ul><li>Work closely with development team lead, developers, and technical delivery lead, DevOps &amp; Infra teams.</li><li>Provide clear quality status and risk visibility.</li><li>Escalate quality risks early.</li></ul><p><strong>Job Relations:</strong></p><p>Reports to IT Manager. Works closely with Development, DevOps, Infra, and Product teams. Coordinates with business stakeholders during UAT.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in computer engineering, computer science, or a related field.</p><p>3-6 years of experience in QA or software testing, and documentation</p><p>Strong understanding of SDLC and testing methodologies.</p><p>Experience testing: Web applications, APIs, and SQL-based systems</p><p>Strong documentation and communication skills.</p><p>Detail-oriented with strong analytical skills.</p><p><strong>Competencies:</strong></p><ul><li>Experience with enterprise or multi-tenant systems.</li><li>Experience documenting legacy systems.</li><li>Exposure to ASP.NET Zero / abp.io.</li><li>Experience working with distributed teams.</li><li>Familiarity with basic test automation concepts.</li></ul><p><strong>Skills &amp; Languages:</strong></p><ul><li>Proficiency with Agile tools (e.g., Jira)</li><li>Understanding of software development life cycle and agile methodologies.</li><li>Good knowledge of partner/system integration principles (APIs, data exchange formats, etc.)</li><li>Fluent in English (required).</li><li>Arabic proficiency (preferred).</li></ul>

<p><h4>Description</h4> <p>Location: Amman, Jordan</p> <h4>Job description:</h4> <p>The Quality Assurance and Documentation Engineer is responsible for ensuring application quality, stability, and knowledge continuity across all systems. This role combines hands-on testing with structured technical documentation, ensuring that functional behavior, system architecture, integrations, and processes are fully understood, documented, and repeatable.</p> <h4>Responsibilities:</h4> <p><strong>Quality assurance & testing</strong><br> Plan, design, and execute functional, regression, and smoke test cases for web, API, Windows client, and mobile applications.<br> Validate business requirements against implemented features and acceptance criteria.<br> Test multi-tenant scenarios, role-based access, and permission logic.<br> Validate integrations with external systems (e.g., payment gateways).<br> Perform data validation testing on SQL Server to ensure data accuracy and integrity.<br> Identify, log, and track defects using Jira / Azure DevOps.<br> Verify bug fixes and prevent regressions.<br> Support User Acceptance Testing (UAT) and pre-production validation.</p> <p><strong>Release & environment validation</strong><br> Validate deployment readiness for QA, UAT, and Production environments.<br> Perform post-deployment verification and smoke testing.<br> Support hotfix validation and emergency releases.<br> Coordinate with DevOps and Development teams to ensure environment stability.</p> <p><strong>Test documentation & standards</strong><br> Create and maintain: test plans, test cases, test scenarios, and regression suites.<br> Define and improve QA processes and testing standards.<br> Ensure repeatable, auditable testing practices aligned with SDLC.</p> <p><strong>Application & technical documentation</strong><br> Document application components including: modules and features, application flows, APIs and integrations, data flows and dependencies, and background jobs and scheduled processes.<br> Maintain up-to-date documentation for: architecture overview, deployment flows, and environment configurations.<br> Ensure documentation is structured, accessible, and version controlled.<br> Work closely with developers to capture technical knowledge accurately.</p> <p><strong>Knowledge management & transition</strong><br> Lead documentation activities during vendor transition and knowledge transfer.<br> Ensure critical system knowledge is captured and not retained by individuals.<br> Support onboarding of new team members using documented materials.<br> Actively reduce single-point-of-failure risks.</p> <p><strong>SDLC & process compliance</strong><br> Ensure QA activities are embedded in the SDLC.<br> Validate that acceptance criteria are met before release approval.<br> Support sprint planning by estimating QA effort.<br> Participate in retrospectives to improve quality processes.</p> <p><strong>Tools & automation (progressive)</strong><br> Support test automation initiatives where applicable.<br> Collaborate with DevOps on CI/CD quality gates.<br> Identify opportunities to improve testing efficiency and coverage.</p> <p><strong>Collaboration & communication</strong><br> Work closely with development team lead, developers, and technical delivery lead, DevOps & Infra teams.<br> Provide clear quality status and risk visibility.<br> Escalate quality risks early.</p> <h4>Job relations:</h4> <p>Reports to IT Manager.<br> Works closely with Development, DevOps, Infra, and Product teams.<br> Coordinates with business stakeholders during UAT.</p> <h4>Requirements</h4> <p>Bachelor’s degree in computer engineering, computer science, or a related field.<br> 3–6 years of experience in QA or software testing, and documentation.<br> Strong understanding of SDLC and testing methodologies.<br> Experience testing: web applications, APIs, and SQL-based systems.<br> Strong documentation and communication skills.<br> Detail-oriented with strong analytical skills.</p> <h4>Competencies:</h4> <ul> <li>Experience with enterprise or multi-tenant systems.</li> <li>Experience documenting legacy systems.</li> <li>Exposure to ASP.NET Zero / abp.io.</li> <li>Experience working with distributed teams.</li> <li>Familiarity with basic test automation concepts.</li> </ul> <h4>Skills & languages:</h4> <ul> <li>Proficiency with Agile tools (e.g., Jira).</li> <li>Understanding of software development life cycle and agile methodologies.</li> <li>Good knowledge of partner/system integration principles (APIs, data exchange formats, etc.).</li> <li>Fluent in English (required).</li> <li>Arabic proficiency (preferred).</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Location: Amman, Jordan</p> <h4>Job description:</h4> <p>The Quality Assurance and Documentation Engineer is responsible for ensuring application quality, stability, and knowledge continuity across all systems. This role combines hands-on testing with structured technical documentation, ensuring that functional behavior, system architecture, integrations, and processes are fully understood, documented, and repeatable.</p> <h4>Responsibilities:</h4> <p><strong>Quality assurance & testing</strong><br> Plan, design, and execute functional, regression, and smoke test cases for web, API, Windows client, and mobile applications.<br> Validate business requirements against implemented features and acceptance criteria.<br> Test multi-tenant scenarios, role-based access, and permission logic.<br> Validate integrations with external systems (e.g., payment gateways).<br> Perform data validation testing on SQL Server to ensure data accuracy and integrity.<br> Identify, log, and track defects using Jira / Azure DevOps.<br> Verify bug fixes and prevent regressions.<br> Support User Acceptance Testing (UAT) and pre-production validation.</p> <p><strong>Release & environment validation</strong><br> Validate deployment readiness for QA, UAT, and Production environments.<br> Perform post-deployment verification and smoke testing.<br> Support hotfix validation and emergency releases.<br> Coordinate with DevOps and Development teams to ensure environment stability.</p> <p><strong>Test documentation & standards</strong><br> Create and maintain: test plans, test cases, test scenarios, and regression suites.<br> Define and improve QA processes and testing standards.<br> Ensure repeatable, auditable testing practices aligned with SDLC.</p> <p><strong>Application & technical documentation</strong><br> Document application components including: modules and features, application flows, APIs and integrations, data flows and dependencies, and background jobs and scheduled processes.<br> Maintain up-to-date documentation for: architecture overview, deployment flows, and environment configurations.<br> Ensure documentation is structured, accessible, and version controlled.<br> Work closely with developers to capture technical knowledge accurately.</p> <p><strong>Knowledge management & transition</strong><br> Lead documentation activities during vendor transition and knowledge transfer.<br> Ensure critical system knowledge is captured and not retained by individuals.<br> Support onboarding of new team members using documented materials.<br> Actively reduce single-point-of-failure risks.</p> <p><strong>SDLC & process compliance</strong><br> Ensure QA activities are embedded in the SDLC.<br> Validate that acceptance criteria are met before release approval.<br> Support sprint planning by estimating QA effort.<br> Participate in retrospectives to improve quality processes.</p> <p><strong>Tools & automation (progressive)</strong><br> Support test automation initiatives where applicable.<br> Collaborate with DevOps on CI/CD quality gates.<br> Identify opportunities to improve testing efficiency and coverage.</p> <p><strong>Collaboration & communication</strong><br> Work closely with development team lead, developers, and technical delivery lead, DevOps & Infra teams.<br> Provide clear quality status and risk visibility.<br> Escalate quality risks early.</p> <h4>Job relations:</h4> <p>Reports to IT Manager.<br> Works closely with Development, DevOps, Infra, and Product teams.<br> Coordinates with business stakeholders during UAT.</p> <h4>Requirements</h4> <p>Bachelor’s degree in computer engineering, computer science, or a related field.<br> 3–6 years of experience in QA or software testing, and documentation.<br> Strong understanding of SDLC and testing methodologies.<br> Experience testing: web applications, APIs, and SQL-based systems.<br> Strong documentation and communication skills.<br> Detail-oriented with strong analytical skills.</p> <h4>Competencies:</h4> <ul> <li>Experience with enterprise or multi-tenant systems.</li> <li>Experience documenting legacy systems.</li> <li>Exposure to ASP.NET Zero / abp.io.</li> <li>Experience working with distributed teams.</li> <li>Familiarity with basic test automation concepts.</li> </ul> <h4>Skills & languages:</h4> <ul> <li>Proficiency with Agile tools (e.g., Jira).</li> <li>Understanding of software development life cycle and agile methodologies.</li> <li>Good knowledge of partner/system integration principles (APIs, data exchange formats, etc.).</li> <li>Fluent in English (required).</li> <li>Arabic proficiency (preferred).</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p>Job Purpose As a Software Development Engineer in Test at CR2, you will play a key role within a Scrum team to ensure the quality, reliability, and robustness of our digital banking solutions. You will work close to the product under test understanding business requirements, clarifying acceptance criteria, designing targeted test coverage (manual &amp; automated). This role requires strong technical ability, leadership mindset, and attention to detail. You will actively contribute to automation test creation, and ongoing maintenance while helping elevate quality standards across the team. Our Hybrid Working Model requires employees to be on-site three days per week in our Amman, Bangalore or Dublin office.</p><p><b>Key Responsibilities</b></p><p>Agile &amp; Product Collaboration</p><ul><li>Develop product and product domain understanding to ensure testing targets true business risk and critical workflows.</li><li>Own the testing of projects you are involved in from requirements refinement to production release.</li><li>Clarify user stories with Product Owners and developers to ensure clarity &amp; testability.</li><li>Participate actively in all Agile ceremonies, providing accurate estimates.</li><li>Communicate progress, risks, and blockers proactively, escalate issues as appropriate and keep Jira up to date.</li><li>Work within an Agile environment, using JIRA and continuous delivery processes &amp; tools.</li></ul><p>Test Design &amp; Automation</p><ul><li>Create, maintain and run automated tests across Web and Mobile &amp; API.</li><li>Follow established automation framework standards.</li><li>Ensure tests (manual and automated) are meaningful.</li><li>Actively reduce flakiness and improve stability within your test suite.</li></ul><p>Manual &amp; Exploratory Testing</p><ul><li>Execute manual tests where appropriate.</li><li>Perform exploratory testing to uncover edge cases and usability issues.</li><li>Validate complex business workflows in collaboration with stakeholders.</li></ul><p>Quality Ownership &amp; Leadership</p><ul><li>Take ownership of quality within your product area contributing to continuous improvement in our processes and tooling and promoting shift-left quality practices.</li><li>Mentor junior QA engineers and support onboarding on new team members.</li><li>Maintain and expand existing documentation (how to docs etc.).</li></ul><p>Defect &amp; Environment Management</p><ul><li>Identify, log, and track defects through to closure with clear root cause analysis.</li><li>Collaborate closely with developers to resolve issues effectively.</li><li>Support test data preparation and environment validation.</li></ul><p>Success Metrics</p><ul><li>Consistent and reliable QA delivery within sprint commitments</li><li>Proactive collaboration with developers and product owners</li><li>Minimal defect leakage within assigned product area</li><li>Low flakiness rate in automation tests developed</li><li>Timely refactoring of unstable or outdated test cases</li><li>Positive mentorship and knowledge sharing with rest of team.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Required Experience, Skills &amp; Competencies</h2><p><strong>Technical Capability:</strong></p><ul><li>4+ years experience in QA.</li><li>Bachelor s degree in Computer Science, Engineering, or related field.</li><li>Experience working in Agile/Scrum environments.</li><li>Hands-on experience with Java, Selenium, Appium, TestNG, RestAssured (or similar).</li><li>Hands on experience with Mobile, API and UI automation.</li><li>Experience with Jira, Xray or equivalent sprint/ test mgt tooling.</li><li>Solid understanding of testing multi-tier systems (DB, services, web, mobile).</li><li>Experience in banking, fintech, or other regulated industries preferred.</li></ul><p><strong>Quality &amp; Detail Orientation</strong></p><ul><li>Strong test design skills and understanding of risk-based testing.</li><li>High attention to detail and ability to spot edge cases.</li><li>Comfortable balancing automation and manual testing.</li></ul><p><strong>Leadership &amp; Communication</strong></p><ul><li>Clear and concise verbal and written communication skills.</li><li>Ability to articulate risks and findings to both technical and non-technical stakeholders.</li><li>Confident in asking clarifying questions and challenging ambiguities.</li><li>Strong collaboration skills across Product, Engineering, and QA.</li><li>Ability to mentor and guide peers.</li></ul><p><strong>Mindset</strong></p><ul><li>Ownership-driven and accountable.</li><li>Proactive in identifying improvement opportunities.</li><li>Interest in exploring AI and new technologies to enhance QA efficiency and effectiveness.</li><li>Comfortable working in regulated, high-quality environments.</li></ul>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $32 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly – a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $32 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly – a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $32 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $32 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li></p><p></p>