وظائف مطورين Git في السعودية

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><b><b>Job Description:</b></b></span></p><br><br><p>We are seeking a motivated Engineering Apprentice to join our multidisciplinary team. You will gain hands-on experience in Systems Engineering, Verification and Validation (V&amp;V), Integration, and ITCOMs (Information Technology and Communications).</p><br><br><br><p>This role offers a unique opportunity to contribute to complex technical projects while developing core engineering competencies.</p><br><br><br><p>Key Responsibilities:<br>- Support Systems Engineering activities, including requirements analysis, system design documentation, and interface management.<br>- Assist in Verification and Validation processes by helping define test cases, executing tests, and documenting results to ensure system compliance.<br>- Participate in hardware and software Integration efforts, troubleshooting interoperability issues, and supporting system-level testing.<br>- Contribute to ITCOMs projects, aiding in the deployment, configuration, and maintenance of communication and IT infrastructure.<br>- Collaborate with cross-functional teams to resolve technical challenges and ensure project milestones are met.<br>- Maintain accurate technical documentation and adhere to quality and safety standards.</p><br><br><br><p>Requirements:<br>- Bachelor’s or Master’s Degree in Engineering, Computer Science, or a related field.<br>- Excellent English speaking and writing skills, as you will be working in an international environment and producing technical documentation.<br>- Willingness to travel domestically to support site integrations, testing, or client visits as required.<br>- Strong analytical and problem-solving skills with attention to detail.<br>- Basic understanding of systems engineering principles, testing methodologies, or IT/network concepts is a plus.<br>- Proficiency in technical documentation and familiarity with tools like Jira, Confluence, or similar is beneficial.<br>- Excellent communication skills and ability to work effectively in a team.<br>- Eager to learn and adapt in a dynamic engineering environment.</p><br><br><br><p>What We Offer:<br>- Structured mentorship and training in Systems Engineering, V&amp;V, Integration, and ITCOMs.<br>- Exposure to large-scale, complex engineering projects.<br>- Collaborative and innovative work culture.<br>- Potential for a permanent position upon successful completion of the apprenticeship.</p><br><br><br><p>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.</p><br><br><br><p><span><b><b><b><b>Company:</b></b></b></b></span></p><br><br>Airbus Defence and Space Saudi Limited<br><p><b>Contract Type:</b></p><br><br>Apprenticeship<p><span>----- </span></p><br><br><br><p><b>Experience Level:</b></p><br><br>Entry Level<br><p><b>Job Family:</b></p><br><br>Engineering Services Sub-contracting &lt;JF-EN-EP&gt;<br><p>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.<br>Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.</p><br><br><p><span>Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to&nbsp;</span><span>emsom@airbus.com.</span></p><br><br><br><p>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p> </p> Job Description <p>Managed.sa is seeking a motivated <strong>GRC Specialist</strong> to support a cybersecurity project based in Jeddah.</p> <p>The ideal candidate will have practical experience in Governance, Risk, and Compliance, with a strong interest in cybersecurity risk management. This role requires working closely with business and technical stakeholders to assess risks, maintain compliance documentation, and support the implementation of cybersecurity controls.</p> Key Responsibilities <ul> <li> Conduct cybersecurity risk assessments and document identified risks. </li> <li> Maintain risk registers, treatment plans, and follow-up actions. </li> <li> Support the development and review of cybersecurity policies, procedures, and standards. </li> <li> Assess compliance with applicable cybersecurity frameworks and regulatory requirements. </li> <li> Identify control gaps and recommend appropriate remediation actions. </li> <li> Collect, organize, and review compliance evidence. </li> <li> Prepare risk and compliance reports for management and project stakeholders. </li> <li> Monitor remediation activities and follow up with relevant teams. </li> <li> Support internal and external cybersecurity audits and assessments. </li> <li> Coordinate with business, IT, cybersecurity, and project stakeholders. </li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li> Bachelor s degree in Cybersecurity, Information Security, Information Technology, Computer Science, or a related field. </li> <li> Approximately <strong>1.5 3 years of relevant experience</strong> in cybersecurity GRC. </li> <li> Practical experience in cybersecurity risk assessment and risk management. </li> <li> Familiarity with cybersecurity frameworks and standards such as: </li> <ul> <li> NCA ECC </li> <li> ISO 27001 </li> <li> ISO 31000 </li> <li> NIST Cybersecurity Framework </li> </ul> <li> </li> <li> Strong documentation, reporting, and stakeholder communication skills. </li> <li> Ability to work independently and follow up on multiple risk and compliance activities. </li> <li> Professional certifications in GRC, cybersecurity, or risk management are preferred. </li> <li> Availability to work <strong>full-time on-site in Jeddah</strong>. </li> <li> Candidates who can join within a short timeframe will be prioritized. </li> </ul>

About Us:Staq is a leading Banking-as-a-Service (Baa S) and embedded finance platform, transforming the way businesses integrate banking and financial services. At Staq, we empower our clients to innovate, expand, and streamline their financial services offerings using our cutting-edge platform. Our mission is to bridge the gap between traditional banking and the digital era by providing seamless, scalable, and secure financial solutions.<br>Role Purpose The Senior Dev Ops Engineer is responsible for building, maintaining and improving the cloud infrastructure and automation that power Staq’s Baa S platform. This role focuses on stability, security and seamless deployments across all environments. You will work closely with Technology to ensure our systems run smoothly, incidents are resolved quickly and our infrastructure continues to evolve as we scale.<br>Key Responsibilities Build and manage cloud infrastructure using Terraform/Terragrunt on AWS or OCIDevelop and improve CI/CD pipelines using Jenkins, Bash/Groovy, Docker, Git Hub and Helm Configure and support Kubernetes clusters to ensure performance, availability and scalability Enhance monitoring, logging, alerting and tracing with tools like Grafana, Loki, Prometheus, Thanos, Elasticsearch and Jaeger Support and automate application deployments for Node.js, Java and other services Improve security, reliability and operational workflows across environments Troubleshoot infrastructure, networking and deployment issues Maintain clear Dev Ops documentation and internal best practices.<br>Qualifications & Experience5+ years of experience as a Dev Ops Engineer Strong Linux administration experience Deep experience with Kubernetes, Docker and container orchestration Hands-on experience with AWS (EC2, VPC, Load Balancers, RDS) or OCIProficiency with Terraform/Terragrunt and Infrastructure-as-Code workflows Experience with Jenkins, CI/CD pipelines and automation scripting Understanding of web servers and reverse proxies (Nginx, HAProxy) Experience deploying and supporting Node.js or Java applications.<br>What Would Make Someone Excellent in This Role Experience securing and scaling Kubernetes clusters in production Experience in fintech, payments or other high-scale, regulated environments Familiarity with Vault, Kafka, Keycloak, Nexus or Elasticsearch.<br>What We Offer A competitive salary Remote-first, flexible work arrangements The opportunity to build and scale infrastructure for a cutting-edge fintech platform A supportive, collaborative engineering environment The chance to make a meaningful impact on a fast-growing Baa S company.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Qiddiya Digital is seeking highly experienced and hands-on Senior Expert of Software Engineer – Digital Platforms to take technical ownership of critical digital product domains across Qiddiya’s ecosystem.<br> This is a senior individual contributor role with strong technical authority.<br> While the position has no direct line-management responsibility, it will provide technical leadership to vendor engineering teams and remain accountable for the quality, resilience, reliability, security, performance, and operational readiness of the assigned platform.<br> A key objective is to eliminate black-box delivery, retain critical knowledge within Qiddiya, and ensure Qiddiya remains in full control of its digital platforms.<br> Take end-to-end technical ownership of the assigned digital domain.<br> Define and maintain the target architecture, engineering standards, and technical roadmap.<br> Provide hands-on technical leadership across design, implementation, integration, release, and production operations.<br> Lead and challenge vendor engineering teams, ensuring compliance with Qiddiya Digital standards.<br> Review and approve architecture, APIs, data models, integrations, code quality, and major technical decisions.<br> Validate vendor deliverables using clear acceptance criteria and measurable technical evidence.<br> Ensure solutions are resilient, reliable, scalable, secure, observable, maintainable, and cost efficient.<br> Define and monitor technical KPIs, service-level objectives, availability, latency, recovery, and performance targets.<br> Ensure appropriate automated testing, CI/CD controls, monitoring, logging, tracing, and alerting are in place.<br> Validate release plans, rollout strategies, rollback procedures, capacity testing, disaster recovery, and production readiness.<br> Lead technical incident management, root-cause analysis, and permanent remediation.<br> Identify and manage technical debt, architectural risks, recurring incidents, and operational weaknesses.<br> Maintain architecture documentation, technical decisions, runbooks, and support procedures.<br> Drive knowledge transfer and ensure Qiddiya can independently operate and evolve the platform.<br> Promote reusable capabilities and common engineering practices across Qiddiya’s digital assets.<br> Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.<br> Extensive software-engineering experience in a Lead, Staff, Principal Engineer, Technical Lead, or senior architecture role.<br> Strong hands-on engineering capability and the ability to challenge implementation-level decisions.<br> Experience designing and operating large-scale, distributed, cloud-native, and highly available platforms.<br> Experience with customer-facing digital products, commerce, payments, loyalty, identity, ticketing, mobile, or similar platforms.<br> Strong knowledge of APIs, microservices, event-driven architecture, distributed systems, data consistency, and failure recovery.<br> Strong experience with resilience, observability, performance engineering, security, automated testing, CI/CD, and production operations.<br> Proven experience overseeing vendors, system integrators, or outsourced engineering teams.<br> Strong incident-management, root-cause-analysis, and problem-management experience.<br> Strong communication, stakeholder-management, and technical decision-making skills.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Qiddiya Digital is seeking highly experienced and hands-on Senior Expert - Software Engineering (Digital Platforms - Catalog) to take technical ownership of critical digital product domains across Qiddiya’s ecosystem.<br> This is a senior individual contributor role with strong technical authority.<br> While the position has no direct line-management responsibility, it will provide technical leadership to vendor engineering teams and remain accountable for the quality, resilience, reliability, security, performance, and operational readiness of the assigned platform.<br> A key objective is to eliminate black-box delivery, retain critical knowledge within Qiddiya, and ensure Qiddiya remains in full control of its digital platforms.<br> Take end-to-end technical ownership of the assigned digital domain.<br> Define and maintain the target architecture, engineering standards, and technical roadmap.<br> Provide hands-on technical leadership across design, implementation, integration, release, and production operations.<br> Lead and challenge vendor engineering teams, ensuring compliance with Qiddiya Digital standards.<br> Review and approve architecture, APIs, data models, integrations, code quality, and major technical decisions.<br> Validate vendor deliverables using clear acceptance criteria and measurable technical evidence.<br> Ensure solutions are resilient, reliable, scalable, secure, observable, maintainable, and cost efficient.<br> Define and monitor technical KPIs, service-level objectives, availability, latency, recovery, and performance targets.<br> Ensure appropriate automated testing, CI/CD controls, monitoring, logging, tracing, and alerting are in place.<br> Validate release plans, rollout strategies, rollback procedures, capacity testing, disaster recovery, and production readiness.<br> Lead technical incident management, root-cause analysis, and permanent remediation.<br> Identify and manage technical debt, architectural risks, recurring incidents, and operational weaknesses.<br> Maintain architecture documentation, technical decisions, runbooks, and support procedures.<br> Drive knowledge transfer and ensure Qiddiya can independently operate and evolve the platform.<br> Promote reusable capabilities and common engineering practices across Qiddiya’s digital assets.<br> Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.<br> Extensive software-engineering experience in a Lead, Staff, Principal Engineer, Technical Lead, or senior architecture role.<br> Strong hands-on engineering capability and the ability to challenge implementation-level decisions.<br> Experience designing and operating large-scale, distributed, cloud-native, and highly available platforms.<br> Experience with customer-facing digital products, commerce, payments, loyalty, identity, ticketing, mobile, or similar platforms.<br> Strong knowledge of APIs, microservices, event-driven architecture, distributed systems, data consistency, and failure recovery.<br> Strong experience with resilience, observability, performance engineering, security, automated testing, CI/CD, and production operations.<br> Proven experience overseeing vendors, system integrators, or outsourced engineering teams.<br> Strong incident-management, root-cause-analysis, and problem-management experience.<br> Strong communication, stakeholder-management, and technical decision-making skills.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Talent Acquisition Recruiter based in Saudi Arabia.<br><br>As a Talent Acquisition Recruiter, you’ll play a key role in supporting rapid growth by owning recruitment activities from sourcing through onboarding. You’ll identify and engage high-quality candidates across global talent markets, with a particular focus on technical and IT-related profiles. You’ll manage candidate pipelines, conduct structured screenings, and ensure a smooth, professional candidate experience throughout the hiring process. Working closely with hiring managers, you’ll help define hiring needs and build targeted recruitment strategies. The role offers significant autonomy in a fully remote environment, with the opportunity to use modern sourcing tools and recruiting technologies. Your ability to build strong talent pipelines will have a direct impact on the organization’s ability to scale its workforce effectively.<br><br>Accountabilities<br><br>Lead full-cycle recruitment activities, from identifying and sourcing candidates through screening, interview coordination, offer presentation, and onboarding. Proactively source and engage qualified talent through job boards, professional networks, social platforms, technical communities, and direct outreach. Build and maintain strong candidate pipelines, including converting passive prospects into active candidates. Conduct structured initial interviews to evaluate candidates’ qualifications, technical backgrounds, communication skills, and overall suitability for available roles. Coordinate the hiring process efficiently, ensuring candidates move smoothly through each stage of the recruitment funnel. Support onboarding by coordinating required documentation, equipment arrangements, orientation schedules, and other pre-employment activities. Partner closely with hiring managers to understand role requirements, refine candidate profiles, and develop effective sourcing strategies. Provide regular recruitment updates and maintain accurate candidate information throughout the hiring process. Use recruiting platforms, Applicant Tracking Systems (ATS), and sourcing tools effectively to manage recruitment activity and optimize hiring workflows.<br><br>Requirements<br><br>Proven experience in full-cycle recruitment, talent acquisition, candidate sourcing, and pipeline management. Experience recruiting for technology, IT, technical support, or other specialized roles is highly desirable. Demonstrated success using modern recruiting platforms, ATS solutions, sourcing engines, and professional networks such as Linked In Recruiter, Indeed, Git Hub, and specialized job boards. A strong track record of proactively identifying candidates and converting passive prospects into engaged talent. Exceptional written and spoken English, with the ability to conduct professional interviews and create compelling candidate outreach. Excellent organizational and time-management skills, with the ability to manage multiple recruitment processes and high-volume pipelines independently. Strong attention to detail and a process-driven approach to maintaining accurate candidate records and delivering a consistent candidate experience. Excellent interpersonal and communication skills, with the ability to build rapport with candidates and collaborate effectively with hiring managers. Comfortable working autonomously in a fully remote environment. A reliable, quiet, and professional home-office setup with stable high-speed internet suitable for regular phone and video interviews.<br><br>Benefits<br><br>Fully remote: Work remotely from Poland in a global, distributed environment. Full-time employment: Join a full-time role with responsibility for supporting ongoing organizational growth. Flexible schedule: Enjoy flexible working arrangements with alignment to core business hours. Global recruitment scope: Work with candidates and talent markets across different regions and geographies. High autonomy: Take ownership of recruitment activities and manage your pipelines independently. Professional impact: Play a direct role in building strong teams and supporting business growth through effective talent acquisition.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key Responsibilities Support and develop Ultimus workflows and business-process applications. Configure, enhance, and troubleshoot workflows and applications. Troubleshoot workflow, application, and integration issues. Support integrations between Ultimus and external systems or enterprise applications. Participate in releases, upgrades, testing, deployment, and disaster recovery (DR) activities. Perform incident troubleshooting and root-cause analysis and implement corrective actions. Support regression testing and post-deployment validation. Maintain technical documentation, support procedures, and knowledge-transfer materials. Coordinate with business users, application teams, infrastructure, security, and vendors as required.<br>Required Education & Qualifications BCs. degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related field.3+ Yrs. of relevant experience with the Ultimus platform. Hands-on experience in workflow and business-process application development. Experience integrating Ultimus with external entities and enterprise systems. Experience in production support, incident troubleshooting, and problem resolution. Understanding of disaster recovery (DR), high availability, and business continuity requirements. Experience supporting upgrades, deployments, configuration changes, and regression testing.<br>Technical & Professional Capabilities Ability to work effectively in enterprise production and managed-services environments. Ability to troubleshoot incidents, perform root-cause analysis, and implement corrective actions. Ability to participate in controlled change, release, and deployment activities. Ability to support system/platform upgrades, including preparation, testing, deployment, and post-upgrade validation. Ability to maintain accurate technical documentation and participate in knowledge-transfer activities. Ability to coordinate effectively with business users, technical teams, security, infrastructure, and vendors. Ability to work in accordance with established IT service-management and change-management processes.

<h3 >About APGAR and the AI Technical Consultant Role</h3> <p >APGAR is a specialized firm in data and AI, providing technology and services to support organizations in transforming, managing, and optimizing their critical data assets. Certified as a Great Place To Work® since 2022 and ISO 27001, APGAR KSA was established in 2024 as part of the APGAR Group's international expansion. As an AI Technical Consultant in Riyadh, Saudi Arabia, you will join a growing team where collaboration is central to delivering innovative solutions for clients. This full-time role offers tailored support and dedicated training focused on professional and personal development, enabling you to contribute directly to business impact and career growth.</p> <h3 >Key Responsibilities</h3> <ul > <li >Lead and contribute to all phases of AI and Data &amp; AI solutions delivery, from use case definition to production readiness.</li> <li >Design and define AI solution architectures, including data flows, AI services, integration, and security.</li> <li >Define the technical approach for AI solutions, encompassing ML, Generative AI, RAG, and predictive models.</li> <li >Establish operating rules, non-functional requirements, and scalability principles for AI solutions.</li> <li >Oversee continuous integration, deployment, and monitoring principles for AI solutions (MLOps supervision).</li> <li >Ensure the overall technical quality of AI solutions and collaborate with project teams on complex technical topics.</li> <li >Develop high-quality technical documentation, such as architecture documents, security notes, and operational guides.</li> <li >Assist clients with the setup, administration, and governance of AI solutions in cloud or on-premise environments, while defining methodologies and DevOps/MLOps processes.</li> <li >Participate in pre-sales activities, including effort estimation for tender calls, writing technical and architectural sections, and presenting AI solutions in client workshops.</li> <li >Contribute to R&amp;D activities, design reusable AI architectures, frameworks, and accelerators, and capitalize on technical knowledge.</li> <li >Evaluate new AI platforms, tools, and cloud services to enhance APGAR's AI offerings.</li> <li >Engage in internal initiatives such as mentoring, offers structuring, community of practice, and recruitment support.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Master’s degree or equivalent.</li> <li >At least <strong >5 – 8 years of experience</strong> in a consulting firm or IT services company.</li> <li >Demonstrated experience in designing, assessing, and guiding the implementation of AI or advanced data solutions in enterprise environments.</li> <li >Strong background in providing technical consultancy for AI solutions and guiding teams through complex technical challenges.</li> <li >Comfortable operating in client-facing and presales contexts.</li> <li >Ability to explain ML, Generative AI, and Agentic AI concepts to non-technical stakeholders.</li> <li >Proficiency in communicating AI limitations, risks, and trade-offs clearly.</li> <li >Proven capability in writing clear documentation and customer-facing summaries.</li> <li >Experience participating in customer calls, demos, and workshops.</li> <li >Skilled in cross-functional communication with product, engineering, and sales teams.</li> </ul> <h3 >Technical Expertise</h3> <p >Candidates should possess a solid grasp of the following technical fields:</p> <ul > <li ><strong >Core AI &amp; Machine Learning:</strong> Understanding of ML fundamentals (supervised/unsupervised learning, model training, evaluation), familiarity with common ML algorithms, basic understanding of feature engineering and data preprocessing, ability to interpret ML model outputs and performance metrics, awareness of model overfitting, bias, and generalization, and understanding of the model lifecycle.</li> <li ><strong >Data &amp; Integration:</strong> Knowledge of data architectures (data lake, lakehouse, batch &amp; streaming), data integration patterns, APIs, enterprise systems, data quality, metadata, and governance concepts.</li> <li ><strong >Cloud &amp; Platforms:</strong> Exposure to Azure, AWS, or GCP ecosystems, managed AI services, vector databases, security, identity management, and access control.</li> <li ><strong >Architecture &amp; Documentation:</strong> Experience in designing technical and solution architecture documents, defining operating models and deployment strategies, and reviewing/challenging technical designs.</li> <li ><strong >Methodology &amp; Delivery:</strong> Familiarity with Agile delivery methodologies, CI/CD and MLOps concepts (deployment, monitoring, retraining), and experience with tools such as Jira, Git-based workflows, and CI pipelines.</li> <li ><strong >AI-Readiness &amp; Enablement:</strong> Ability to assess customer AI-readiness (data availability, quality, governance, risk), identify AI-appropriate use cases, support customers in preparing data and workflows for ML and GenAI adoption, educate on responsible AI and realistic expectations, and contribute to AI-readiness assessments, frameworks, or playbooks.</li> </ul> <h3 >Practical Information</h3> <ul > <li ><strong >Location:</strong> Riyadh, Saudi Arabia</li> <li ><strong >Contract:</strong> Permanent / Full Time</li> <li ><strong >Start Date:</strong> As soon as possible</li> </ul> <h3 >Recruitment Process</h3> <p >The selection process for this role typically involves the following stages:</p> <ol > <li >Initial CV screening by a Recruitment Officer.</li> <li >Interview with the AI Solution Architect and Recruitment Officer (approximately 60 minutes) to assess technical expertise and motivations.</li> <li >Interview with the local VP Operations (face-to-face in the Riyadh office, approximately 60 minutes) to assess alignment with values and review professional background.</li> <li >Interview with the CEO (approximately 45 minutes).</li> </ol>

<p>We are seeking a highly organized and proactive Project Coordinator to support the successful planning, execution, and delivery of technology projects within our FinTech environment. The ideal candidate will work closely with Project Managers, Engineering, Product, QA, and Business teams to coordinate project activities, track progress, manage documentation, and facilitate communication across stakeholders. This role is ideal for someone looking to grow their career in project management while gaining exposure to modern software development practices and financial technology solutions. Key Responsibilities Coordinate project activities to ensure tasks are completed on time and aligned with project objectives. Assist Project Managers in planning, scheduling, and tracking project deliverables and milestones. Organize and facilitate project meetings, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives. Prepare meeting agendas, document meeting minutes, and follow up on action items. Maintain project plans, status reports, risk logs, issue trackers, and project documentation. Track project progress and proactively communicate updates, risks, and dependencies to stakeholders. Coordinate with Engineering, Product, QA, DevOps, and Business teams to ensure smooth execution of project activities. Support resource planning and monitor project timelines and deliverables. Assist in change request tracking and project governance activities. Ensure project documentation is accurate, organized, and up to date. Contribute to continuous improvements in project management processes and team collaboration.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications</strong> Bachelor's degree in Computer Science, Information Technology, Business Administration, Engineering, or a related field. 1u20133 years of experience in project coordination, PMO, software delivery, or a similar role within a technology organization. Basic understanding of the Software Development Life Cycle (SDLC). Familiarity with Agile, Scrum, or Kanban methodologies. Experience using project management and collaboration tools such as Jira, Confluence, Azure DevOps, Microsoft Project, Trello, or similar. Strong organizational and time management skills with the ability to manage multiple priorities. Proficiency in Microsoft Office, particularly Excel, PowerPoint, and Word. Excellent written and verbal communication skills. Strong attention to detail and problem-solving abilities.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ob Description We are seeking an experienced Senior Solutions Architect to lead the design and implementation of complex enterprise solutions.<br> The ideal candidate will be responsible for defining solution architectures, ensuring alignment with business objectives, and guiding development teams throughout the entire software development lifecycle.<br> This role requires strong technical expertise, excellent communication skills, and the ability to design scalable, secure, and high-performing solutions across both cloud and on-premises environments.<br> Key Responsibilities Design and architect scalable, secure, and high-performance enterprise applications and systems.<br> Lead the end-to-end solution design process, from requirements gathering and analysis to deployment and ongoing support.<br> Collaborate with business stakeholders, project managers, and technical teams to translate business requirements into technical solutions.<br> Define architecture standards, best practices, and design guidelines.<br> Provide technical leadership and mentorship to development teams throughout the software development lifecycle.<br> Design and oversee integrations between internal and external systems using APIs, messaging platforms, and middleware technologies.<br> Ensure solutions adhere to security, performance, scalability, and maintainability standards.<br> Evaluate emerging technologies and recommend innovative solutions to support business objectives.<br> Participate in architectural reviews, code reviews, and technical governance activities.<br> Support troubleshooting and resolution of complex technical issues.<br> Education Bachelor's degree in Computer Science, Software Engineering, or a related field .<br> Experience Minimum 10 years of proven experience in designing, developing, and implementing complex IT systems.<br> Strong background in software architecture and system design .<br> Comprehensive understanding of the full Software Development Lifecycle (SDLC) , including inception, design, development, deployment, and support.<br> Technical Skills Proficiency in software development using web technologies, React, CRM platforms, and .<br>NET Core . Hands-on experience with integration technologies such as Message Queues (MQ), Brokers, API Gateways, and Business Process Management (BPM) tools.<br> Strong experience in database design and data modeling .<br> Solid understanding and practical application of software design patterns .<br> Strong architectural experience in both public and private cloud environments .<br> Soft Skills Excellent verbal and written communication skills in Arabic and English .<br> Strong analytical and problem-solving skills.<br> High attention to detail and organizational skills.<br> Ability to work effectively in a team-oriented environment.<br> Self-motivated, proactive, and able to manage multiple priorities in a fast-paced environment.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p ><strong><span >Job Description</span></strong></p> <table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0"> <tbody> <tr > <td colspan="6" valign="top"> <p ><strong><span >OVERVIEW</span></strong></p> </td> </tr> <tr > <td valign="top"> <p ><strong><span >Job Title</span></strong></p> </td> <td valign="top"> <p ><span >Consultant</span></p> </td> <td valign="top"> <p ><strong><span >Job Code</span></strong></p> </td> <td valign="top"> <p > </p> </td> <td valign="top"> <p ><strong><span >Grade</span></strong></p> </td> <td valign="top"> <p ><span >I3</span></p> </td> </tr> <tr > <td valign="top"> <p ><strong><span >Group</span></strong></p> </td> <td valign="top"> <p ><span >Government Products</span></p> </td> <td valign="top"> <p ><strong><span >Division</span></strong></p> </td> <td colspan="3" valign="top"> <p ><span >Technology</span></p> </td> </tr> <tr > <td valign="top"> <p ><strong><span >Department</span></strong></p> </td> <td valign="top"> <p ><span >Technology Planning &amp; Excellence</span></p> </td> <td valign="top"> <p ><strong><span >Unit</span></strong></p> </td> <td colspan="3" valign="top"> <p ><span >Technology Performance &amp; Excellence</span></p> </td> </tr> </tbody> </table> <p ><span > </span></p> <p > </p> <div align="center"> <table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0"> <tbody> <tr> <td > <p ><strong><span >ROLE PURPOSE</span></strong></p> <p ><em><span >The aim is to state the overall significance of the job from the organization’s perspective.</span></em></p> </td> </tr> <tr> <td > <p ><span >To support the governance, monitoring, and continuous improvement of technology performance across Elm by developing KPI frameworks, integrating enterprise technology data, designing executive dashboards, conducting benchmarking studies, and implementing automation and AI-enabled analytics capabilities. The role contributes to enhancing operational efficiency, improving reporting quality, enabling data-driven decision-making, and strengthening performance visibility across technology functions.</span></p> </td> </tr> </tbody> </table> </div> <p > </p> <div align="center"> <table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0"> <tbody> <tr> <td colspan="2"> <p ><strong><span >KEY ACCOUNTABILITIES &amp; ACTIVITIES</span></strong></p> <p ><em><span >This section describes the principal outputs required from the job.</span></em></p> </td> </tr> <tr> <td > <p ><strong><span >Key Accountabilities</span></strong></p> </td> <td > <p ><strong><span >Key Activities</span></strong></p> </td> </tr> <tr> <td > <p ><strong><span >1.  Technology KPI Framework Management</span></strong></p> </td> <td > <ul > <li ><span >Develop, maintain, and enhance the Technology KPI Framework in alignment with organizational objectives.</span></li> <li ><span >Establish KPI definitions, measurement methodologies, targets, and governance standards.</span></li> <li ><span >Monitor KPI performance and ensure consistency across technology functions.</span></li> <li ><span >Support periodic reviews and updates of technology performance indicators.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >2.  Technology Performance Monitoring &amp; Analysis</span></strong></p> </td> <td > <ul > <li ><span >Monitor technology performance metrics and identify trends, risks, and improvement opportunities.</span></li> <li ><span >Analyze operational performance data and provide actionable performance insights.</span></li> <li ><span >Conduct root cause analysis for performance deviations and recommend corrective actions.</span></li> <li ><span >Support management in evaluating technology performance against established targets.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >3.  Executive Dashboard Development</span></strong></p> </td> <td > <ul > <li ><span >Design, develop, and maintain executive dashboards using Power BI, Tableau, or related reporting tools.</span></li> <li ><span >Ensure dashboards provide accurate, meaningful, and timely performance insights.</span></li> <li ><span >Develop interactive visualizations that support strategic and operational decision-making.</span></li> <li ><span >Continuously improve dashboard usability and reporting effectiveness.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >4.  Data Integration &amp; Performance Intelligence</span></strong></p> </td> <td > <ul > <li ><span >Integrate data from enterprise systems, databases, APIs, and data warehouse platforms.</span></li> <li ><span >Validate data accuracy, consistency, and completeness across reporting environments.</span></li> <li ><span >Support the development of technology performance data models and reporting structures.</span></li> <li ><span >Improve accessibility and availability of performance information across technology functions.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >5.  Benchmarking &amp; Best Practice Analysis</span></strong></p> </td> <td > <ul > <li ><span >Conduct benchmarking studies against industry standards and technology performance best practices.</span></li> <li ><span >Analyze benchmarking results and identify opportunities for improvement.</span></li> <li ><span >Support the implementation of recommendations that enhance technology performance maturity.</span></li> <li ><span >Maintain awareness of industry trends and emerging performance management practices.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >6.  Performance Governance &amp; Data Quality Management</span></strong></p> </td> <td > <ul > <li ><span >Ensure KPI governance processes are effectively implemented and maintained.</span></li> <li ><span >Monitor reporting quality and data integrity across technology performance reporting.</span></li> <li ><span >Establish controls to improve performance reporting accuracy and reliability.</span></li> <li ><span >Support governance reviews and performance assurance activities.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >7.  Continuous Improvement Initiatives</span></strong></p> </td> <td > <ul > <li ><span >Lead and support continuous improvement initiatives aimed at enhancing technology efficiency and effectiveness.</span></li> <li ><span >Identify process optimization opportunities using performance insights and operational analysis.</span></li> <li ><span >Track improvement initiatives and monitor realization of expected benefits.</span></li> <li ><span >Promote a culture of continuous improvement across technology functions..</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >8.  Automation, AI &amp; Advanced Analytics Enablement</span></strong></p> </td> <td > <ul > <li ><span >Design and implement automation workflows using platforms such as Power Automate, n8n, UiPath, or equivalent tools.</span></li> <li ><span >Support adoption of AI-enabled analytics, predictive reporting, and intelligent performance monitoring capabilities.</span></li> <li ><span >Identify opportunities to automate manual reporting and performance management activities.</span></li> <li ><span >Develop advanced analytical insights that support proactive decision-making.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >9.  Policies, Processes &amp; Procedures</span></strong></p> </td> <td > <ul > <li ><span >Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li> <li ><span >Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >10.  Information Security</span></strong></p> </td> <td > <ul > <li ><span >Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.</span></li> </ul> </td> </tr> </tbody> </table> </div> <p > </p> <div align="center"> <table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0"> <tbody> <tr> <td colspan="2"> <p ><strong><span >JOB SPECIFICATIONS</span></strong></p> </td> </tr> <tr> <td > <p ><strong><span >Academic and<br>professional qualifications</span></strong></p> </td> <td > <ul > <li ><span >Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Data Analytics, Engineering, or a related discipline.</span></li> <li ><span >Professional certifications such as ITIL® 4 Foundation, Microsoft Certified: Power BI Data Analyst Associate (PL-300), Tableau Certified Data Analyst, or Certified KPI Professional are preferred.</span></li> <li ><span >Certifications in Automation Platforms (Power Automate, n8n, UiPath), COBIT Foundation, Lean Six Sigma Green Belt, Benchmarking, or Microsoft Azure AI Fundamentals (AI-900) are desirable.</span></li> </ul> </td> </tr> <tr> <td > <p ><strong><span >Years and Nature of<br>Experience</span></strong></p> </td> <td > <p ><span >•  3–5 years of experience in Technology Performance Management, KPI Management, Reporting &amp; Analytics, Data Intelligence, Dashboard Development, IT Governance, or related disciplines.</span></p> </td> </tr> </tbody> </table> </div> <p > </p> <p ><span ><br><br></span></p> <div align="center"> <table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0"> <tbody> <tr> <td colspan="3"> <p ><strong><span >VERSION TRACKING</span></strong></p> </td> </tr> <tr> <td > <p ><strong><span >Prepared by:</span></strong></p> </td> <td colspan="2"> <p > </p> </td> </tr> <tr> <td > <p ><strong><span >First review by:</span></strong></p> </td> <td colspan="2"> <p > </p> </td> </tr> <tr> <td rowspan="3"> <p ><strong><span >Approved by:</span></strong></p> </td> <td > <p ><strong><span >Name</span></strong></p> </td> <td > <p > </p> </td> </tr> <tr> <td > <p ><strong><span >Signature</span></strong></p> </td> <td > <p > </p> </td> </tr> <tr> <td valign="top"> <p ><strong><span >Date</span></strong></p> </td> <td valign="top"> <p > </p> </td> </tr> </tbody> </table> </div> <p > </p> </span>

<h3 >About InnovationTeam</h3> <p >InnovationTeam is a technology company focused on delivering advanced AI and data-driven solutions across multiple industries. The company fosters a culture of innovation, collaboration, and technical excellence, providing an environment where engineers can make a meaningful impact.</p> <h3 >The Role: AI Engineer - Computer Vision</h3> <p >InnovationTeam is seeking a full-time <strong >AI Engineer - Computer Vision</strong> to join its AI engineering team. This role involves designing, developing, and deploying vision-based AI systems for real-world production environments. The successful candidate will work on scalable image and video analytics solutions, taking AI models from research to production.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop and implement practical, production-grade Computer Vision solutions.</li> <li >Design and train Computer Vision models for comprehensive image and video analysis.</li> <li >Implement advanced solutions for object detection, image classification, segmentation, and tracking.</li> <li >Prepare and manage datasets, including data cleaning, labelling, and augmentation processes.</li> <li >Optimize models for GPU performance, inference speed, and overall scalability.</li> <li >Deploy AI models into production environments using APIs and containerized services.</li> <li >Integrate Computer Vision models with broader AI and analytics platforms.</li> <li >Collaborate effectively with software engineers, data scientists, and product teams.</li> <li >Maintain thorough documentation and ensure high code quality and reproducibility.</li> </ul> <h3 >Required Skills and Expertise</h3> <p >This position requires strong expertise in computer vision, deep learning, and software engineering. Candidates should be technically strong, self-driven, and possess proven experience in transitioning AI models from research phases to production deployment. A solid understanding of image and video analytics problems is essential.</p> <h3 >Experience and Collaboration</h3> <p >The role requires <strong >2-5 years of experience</strong> in a relevant field. The AI Engineer will work closely within cross-functional teams, contributing to a collaborative environment focused on technical excellence. This role offers the opportunity to contribute to real-world solutions and deliver production-ready AI systems.</p> <h3 >Application Information</h3> <p >InnovationTeam is seeking a skilled professional to contribute to its advanced AI initiatives. Salary information for this full-time position will be discussed during the interview process.</p>

Role Summary<br><br>We are seeking experienced Managers Autonomous SOC Engineering, AI & Automation to lead the design, engineering, deployment, and continuous improvement of next-generation Security Operations capabilities.<br><br>The role will be responsible for enabling the transition from traditional analyst-led SOC operations toward an AI-assisted and increasingly autonomous SOC operating model, combining security automation, AI/Gen AI, detection engineering, orchestration, and advanced security analytics.<br><br>The successful candidates will be technically hands-on and will work across SIEM, SOAR, EDR/XDR, threat intelligence, case management, APIs, AI/LLM platforms, and security data sources to automate security workflows, develop use cases and improve detection quality, accelerate investigations and response, and reduce repetitive analyst effort.<br><br>The role requires strong experience across automation engineering, AI-enabled security operations, and detection engineering, with the ability to translate SOC use cases into scalable production capabilities.<br><br>Key Responsibilities<br><br>Autonomous SOC & AI Engineering<br><br> Lead the technical design and deployment of AI-driven and autonomous SOC capabilities. Identify SOC processes suitable for automation and autonomous execution across alert triage, investigation, enrichment, containment, and response. Design and implement AI-assisted security investigation and decision-support workflows. Develop and integrate LLM/Gen AI-based SOC capabilities, including analyst copilots, automated investigation, incident summarisation, threat intelligence analysis, and response recommendations. Design appropriate human-in-the-loop controls, approval gates, guardrails, and escalation mechanisms for autonomous security actions. Evaluate the accuracy, reliability, security, and operational effectiveness of AI-enabled SOC use cases. Support the development of an Autonomous SOC roadmap and progressively increase the level of automation across security operations.<br><br>Security Automation & Orchestration<br><br> Design, build, and maintain automated security workflows and orchestration playbooks. Automate repetitive SOC activities including: Alert enrichment IOC investigation Phishing analysis Endpoint investigation Identity investigation Threat intelligence enrichment Malware analysis Case creation and management Containment and remediation Develop integrations between SIEM, SOAR, EDR/XDR, threat intelligence, email security, identity, network security, cloud security, ticketing, and other security platforms. Build automation using Python, REST APIs, webhooks, SDKs, scripting, and orchestration platforms. Develop reusable automation components and standardized integration patterns. Implement error handling, logging, monitoring, testing, and rollback mechanisms for automated security actions.<br><br>Detection Engineering<br><br> Lead the development and continuous improvement of the SOC’s detection engineering capability. Design, develop, test, tune, and maintain security detection rules across SIEM, EDR/XDR, cloud, identity, network, and other security technologies. Translate threat intelligence, attack techniques, incident findings, and threat hunting results into actionable detections. Map detection coverage against MITRE ATT&CK and identify detection gaps. Develop detection-as-code approaches including version control, testing, peer review, deployment, and lifecycle management. Define detection quality metrics including precision, false-positive rates, coverage, and detection effectiveness. Work with automation engineers to connect detections directly to automated investigation and response workflows.<br><br>AI & Security Data Integration<br><br> Integrate security telemetry from multiple platforms into AI-driven investigation and automation workflows. Develop mechanisms for AI systems to securely retrieve and correlate relevant security context. Design structured prompts, workflows, agent logic, and tool integrations for security use cases. Support integration of enterprise knowledge sources, threat intelligence, historical incidents, detection content, and SOC procedures into AI-enabled workflows. Apply appropriate security controls around data privacy, access control, model usage, auditability, and AI-generated decisions. Monitor AI outputs for hallucinations, incorrect conclusions, unsafe actions, and other operational risks.<br><br>SOC Engineering & Continuous Improvement<br><br> Assess existing SOC processes and identify opportunities to improve efficiency through engineering and automation. Reduce manual analyst workload and improve mean time to detect, investigate, and respond. Establish engineering standards for automation, integrations, detection content, and AI-enabled workflows. Conduct testing and validation before deploying automated response actions into production. Track the effectiveness of Autonomous SOC capabilities through measurable operational KPIs. Mentor SOC analysts and engineers on automation, detection engineering, AI-assisted investigations, and new security technologies. Work with SOC leadership, architecture, infrastructure, cloud, IAM, and security engineering teams to deliver integrated capabilities.<br><br>Required Skills & Experience<br><br>Candidates should have strong hands-on experience across several of the following areas:<br><br> 7+ years of cybersecurity experience, with significant experience in SOC engineering, detection engineering, security automation, incident response, or security operations. Strong hands-on experience with SIEM technologies such as Microsoft Sentinel, Splunk ES, Google Sec Ops or equivalent. Strong experience with SOAR and security orchestration platforms. Experience developing security automation using Python and REST APIs. Strong understanding of SOC workflows, alert triage, investigation and incident response. Demonstrated experience designing and engineering security detections. Strong knowledge of MITRE ATT&CK and threat-informed defence. Experience integrating security platforms through APIs and developing automated investigation or response workflows. Experience with EDR/XDR, identity security, email security, network security, cloud security, and threat intelligence platforms. Understanding of detection lifecycle management, detection-as-code, Git/version control, CI/CD, and automated testing.<br><br>AI / Gen AI Experience<br><br>Strong knowledge or practical experience in:<br><br> Generative AI and Large Language Models. AI agents and agentic workflows. LLM APIs and enterprise AI platforms. Prompt and context engineering. Retrieval-Augmented Generation (RAG). Tool/function calling and API-enabled AI agents. AI-assisted investigation and security analytics. AI evaluation, accuracy testing, hallucination management, and guardrails. Secure implementation of AI within enterprise cybersecurity environments.<br><br>Candidates do not need to be machine-learning researchers, the emphasis is on applying AI practically within security operations.<br><br>Preferred Experience<br><br>Experience with technologies such as:<br><br> Microsoft Sentinel / Security Copilot Splunk ES / Splunk SOAR Cortex XSOAR / XSIAM Microsoft Defender XDR Crowd Strike Service Now Sec Ops Threat intelligence platforms Git / Git Lab / Git Hub Python REST APIs Azure Open AI / Open AI APIs or equivalent enterprise LLM platforms Cloud security platforms across Azure, AWS or GCP<br><br>Experience building or deploying AI-enabled SOC, Autonomous SOC, hyperautomation, or security-agent solutions would be highly advantageous.<br><br>Expected Outcomes<br><br>The role will be expected to deliver measurable improvements including:<br><br> Increased percentage of SOC activities automated. Reduced manual analyst intervention. Improved detection coverage and quality. Reduced false-positive rates. Reduced Mean Time to Triage and Mean Time to Respond. Increased automated enrichment and investigation coverage. Deployment of AI-assisted and autonomous investigation workflows. Increased integration between detection, investigation, and automated response.