Python Developer Jobs in Saudi

Company Description Joatha Business Development Consultants is a consulting firm focused on helping organizations improve performance, drive growth, and make informed strategic decisions. The firm supports clients across sectors with data-driven insights, economic analysis, and practical recommendations. Team members collaborate remotely with clients and colleagues, using structured methodologies and research-based approaches. Joatha values professionalism, analytical rigor, and clear communication to deliver measurable impact for its clients. Role Description This is a temporary, remote role for a Labor Economist. The Labor Economist will conduct research on labor markets, employment trends, wages, productivity, and workforce dynamics to support client projects. Daily tasks include collecting and cleaning labor market data, running statistical and econometric analyses, and interpreting results for practical business and policy applications. The role involves preparing concise reports, policy briefs, and presentations, and contributing to labor-related sections of broader economic studies. The Labor Economist will collaborate with project teams, provide evidence-based recommendations, and respond to client queries on labor market developments within agreed timelines. Qualifications Candidates should possess strong foundations in Economics and Macroeconomics, with a focus on labor markets and related policies. Candidates should possess skills in Economic Research, including data collection, literature review, and applied policy or business analysis. Candidates should possess advanced Statistics and quantitative analysis skills, including experience with statistical software (e.g., R, Stata, Python, or similar). Candidates should possess robust Analytical Skills, including the ability to interpret complex data, identify trends, and translate findings into clear, actionable insights. Graduate-level education in Economics or a related field (Master’s or PhD) is strongly preferred; relevant work experience in labor or employment research is an asset. Strong written and verbal communication skills, with the ability to present technical results to non-technical audiences. Ability to work independently in a remote setting, manage multiple tasks, and meet deadlines in a consulting environment. Familiarity with labor market institutions, employment regulations, and workforce development policies in KSA, including Saudi Labor Market Strategy and its initiatives and actual implications on the Saudi job market and economy.

Job Purpose:<br>Design, develop, and maintain Robotic Process Automation (RPA) solutions that improve business efficiency, reduce manual effort, and ensure high-quality automated workflows. The role is responsible for delivering scalable and secure automation using industry’s best practices and collaborating closely with business and technical stakeholders.<br>Key Accountabilities:<br>Analyze business processes to identify automation opportunities and feasibility. Design, develop, test, and deploy RPA bots using Blue Prism. Collaborate with business analysts and stakeholders to gather automation requirements. Maintain and enhance existing automation solutions to improve performance and reliability. Implement robust exception handling, logging, and monitoring mechanisms. Ensure automation solutions comply with security, scalability, and governance standards. Troubleshoot and resolve bot failures and production issues. Document automation workflows, technical specifications, and user guides. Support continuous improvement initiatives and identify new automation opportunities. Participate in code reviews and follow version control best practices.<br>Minimum Qualifications:<br>Bachelor’s degree in computer science, Information Technology, or a related field. Certification in an RPA tool (e.g., UiPath Certified Developer, Automation Anywhere Certified Advanced RPA Professional) is a strong advantage.<br>Minimum Experience:<br>5+ years of hands-on experience in RPA development or related automation projects.<br>Job-Specific Skills:<br>Proven experience in Robotic Process Automation (RPA) development using Blue Prism tool. Proven experience in delivering end-to-end RPA implementations in enterprise environments. Strong knowledge of workflow design, development, and deployment in an RPA environment. Proficiency in programming/scripting languages such as C#, VB. NET, Python, or Java Script. Experience with SQL databases and integrating RPA bots with APIs and web services (REST/SOAP). Understanding process mapping, business rules, exception handling, and error logging in automation solutions. Familiarity with RPA best practices, including security, scalability, and maintainability of bots. Experience with version control systems like Git is a plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities to work with business analysts and stakeholders. Ability to manage multiple tasks and projects in a fast-paced environment. Proactive mindset with a focus on continuous improvement and learning.

We are supporting a leading global cybersecurity technology provider with the appointment of a Principal Resident Engineer in Dammam.<br>This is a senior, customer-facing position focused on the deployment, optimisation and ongoing support of an advanced cybersecurity platform across complex industrial environments. The successful candidate will act as a trusted technical partner to the customer, working directly with operational and cybersecurity teams across sites.<br>The Role As the Principal Resident Engineer, you will take ownership of the technical relationship with the customer and ensure the platform continues to deliver against agreed operational and security objectives.<br>You will be responsible for implementation, configuration, system health, troubleshooting, platform improvements and stakeholder enablement throughout the customer lifecycle.<br>Key Responsibilities Plan and deliver cybersecurity platform deployments within customer environments. Work with customer teams to understand operational requirements, use cases and expected outcomes. Review network architecture and advise on sensor positioning, connectivity and integration requirements. Configure, tune and optimise the platform to support agreed customer objectives. Build workflows, dashboards and technical content aligned with customer use cases. Monitor platform availability, performance and overall system health. Manage software upgrades, patches and configuration changes. Provide hands-on troubleshooting, break-fix support and escalation management. Deliver knowledge-transfer sessions and technical training to customer stakeholders. Produce and maintain clear technical documentation, processes and operating procedures. Introduce customers to new product capabilities, releases and platform enhancements. Gather customer feedback and communicate improvement requests to relevant internal teams. Collaborate with sales, solution architecture, threat intelligence and security services functions. Identify additional areas where further technology or services could deliver value to the customer.<br>Experience Required Strong understanding of IP networking, the OSI model, the Purdue model and common industrial protocols. Experience working with Linux command-line environments. Exposure to Docker, scripting languages such as Python or Shell and SIEM platforms. Experience deploying or supporting enterprise software in on-premise or cloud environments. Strong troubleshooting and problem-solving capability. Experience managing multiple stakeholders and technical workstreams. Excellent communication, customer engagement and relationship-management skills. Ability to operate effectively in complex industrial environments. Previous cybersecurity experience would be highly advantageous. Willingness to travel up to 25%.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're seeking an experienced DevOps Engineer to design, implement, and maintain our on-premises automation infrastructure. You'll be responsible for building robust CI/CD pipelines with integrated security practices (DevSecOps) and automating deployment workflows using Ansible and related technologies.</p><p>Key Responsibilities</p><ul><li>Infrastructure Automation: Design and implement infrastructure automation solutions for on-premises environments using Ansible. Develop and maintain Ansible playbooks, roles, and collections for configuration management. Automate server provisioning, configuration, and application deployment processes. Implement Infrastructure as Code (IaC) practices for on-premises infrastructure. Manage and optimize bare-metal and virtualized infrastructure (VMware/KVM).</li><li>CI/CD &amp; DevSecOps Pipeline: Build and maintain robust CI/CD pipelines with integrated security scanning. Implement DevSecOps practices including SAST, DAST, SCA, and container security scanning. Integrate security tools (SonarQube, Trivy, OWASP ZAP, etc.) into deployment pipelines. Automate security compliance checks and vulnerability management. Establish policy-as-code and compliance automation frameworks. Implement automated testing strategies (unit, integration, and security tests).</li><li>Deployment &amp; Release Management: Design and execute deployment strategies (blue-green, canary, rolling updates). Manage application releases across multiple environments (dev, staging, production). Implement automated rollback mechanisms and disaster recovery procedures. Monitor and optimize deployment processes for reliability and speed. Maintain deployment documentation and runbooks.</li><li>Monitoring &amp; Operations: Implement comprehensive monitoring and alerting solutions. Set up centralized logging and log analysis systems. Perform capacity planning and performance optimization. Troubleshoot production issues and implement preventive measures. Participate in on-call rotation for production support.</li></ul><p>Required Qualifications</p><ul><li>Technical Skills: Ansible: 3+ years of hands-on experience with Ansible for configuration management and automation. CI/CD Tools: Jenkins, GitLab CI, or similar pipeline automation tools. Version Control: Strong Git workflow knowledge and branching strategies. Scripting: Proficiency in Python, Bash, or similar scripting languages. Linux Administration: Strong Linux system administration skills (RHEL/CentOS/Ubuntu). Security Tools: Experience with DevSecOps tools (Trivy, Aqua, SonarQube, Snyk, etc.). Containerization: Docker and container security best practices. Networking: Strong understanding of networking concepts, firewalls, and load balancers.</li><li>Nice to Have: Kubernetes or container orchestration experience. Experience with Terraform or other IaC tools. HashiCorp Vault or secret management solutions. Prometheus, Grafana, ELK stack experience. Experience in healthcare IT environments. Knowledge of compliance frameworks (HIPAA, GDPR, ISO 27001). Red Hat Certified Engineer (RHCE) or Ansible certifications. Experience with Artifactory, Nexus, or artifact management.</li></ul><p>Professional Requirements</p><ul><li>3-5 years of DevOps/Infrastructure engineering experience.</li><li>Experience working in on-premises data center environments.</li><li>Strong understanding of security best practices and compliance requirements.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication and documentation skills.</li><li>Ability to work collaboratively in cross-functional teams.</li><li>Experience with Agile/Scrum methodologies.</li></ul><p>Healthcare Sector Experience (Preferred)</p><ul><li>Understanding of healthcare data sensitivity and privacy requirements.</li><li>Experience with HIPAA compliance and secure healthcare infrastructure.</li><li>Familiarity with healthcare application deployment patterns.</li><li>Knowledge of regulatory requirements for medical systems.</li></ul><p>What We Offer</p><ul><li>Opportunity to work on critical healthcare infrastructure.</li><li>Collaborative and innovative work environment.</li><li>Professional development and certification support.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Technical Skills: Ansible: 3+ years of hands-on experience with Ansible for configuration management and automation. CI/CD Tools: Jenkins, GitLab CI, or similar pipeline automation tools. Version Control: Strong Git workflow knowledge and branching strategies. Scripting: Proficiency in Python, Bash, or similar scripting languages. Linux Administration: Strong Linux system administration skills (RHEL/CentOS/Ubuntu). Security Tools: Experience with DevSecOps tools (Trivy, Aqua, SonarQube, Snyk, etc.). Containerization: Docker and container security best practices. Networking: Strong understanding of networking concepts, firewalls, and load balancers.</li><li>Nice to Have: Kubernetes or container orchestration experience. Experience with Terraform or other IaC tools. HashiCorp Vault or secret management solutions. Prometheus, Grafana, ELK stack experience. Experience in healthcare IT environments. Knowledge of compliance frameworks (HIPAA, GDPR, ISO 27001). Red Hat Certified Engineer (RHCE) or Ansible certifications. Experience with Artifactory, Nexus, or artifact management.</li><li>Professional Requirements: 3-5 years of DevOps/Infrastructure engineering experience. Experience working in on-premises data center environments. Strong understanding of security best practices and compliance requirements. Excellent problem-solving and troubleshooting skills. Strong communication and documentation skills. Ability to work collaboratively in cross-functional teams. Experience with Agile/Scrum methodologies.</li><li>Healthcare Sector Experience (Preferred): Understanding of healthcare data sensitivity and privacy requirements. Experience with HIPAA compliance and secure healthcare infrastructure. Familiarity with healthcare application deployment patterns. Knowledge of regulatory requirements for medical systems.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <div><br></div> </div> <div> <div> <b>JOB PURPOSE</b> </div> <div> <p>Undertake advanced statistical and data science work. This includes compiling, harmonizing, developing, and disseminating key statistical indicators and predictive models to support evidence-based research and inform management decisions. Provide high-quality, timely statistics and data-driven insights that are crucial for guiding IsDB's operational strategies and enhancing country-level dialogues. A core part of the role involves ensuring that the IsDB website is updated with the latest, high-quality data and analytical insights on the bank's interventions and its member countries. Additionally, the role involves developing and maintaining robust, well-governed databases and data pipelines, leveraging modern data technologies and advanced analytical methods, including machine learning, using platforms such as Microsoft Azure. It also promotes the adoption of innovative data techniques across the IsDB Group and its Member Countries, while coordinating with regional and international statistical agencies to align with global statistical standards and initiatives.</p> </div> </div> <div> <div> <b>KEY ACCOUNTABILITIES</b> </div> <div> <p> </p> <p> <strong>Policy and Strategy Planning:</strong> <br> Contribute to the Division s annual work plans, programs and activities.<br> Contribute to the development and implementation of strategies, policies, procedures, and guidelines of the IsDB Institute.<br> Contribute to the development and effective implementation of the relevant frameworks and tools for the Economic Work under the Economic Research and Statistics programs of the IsDB Institute.<br> Contribute to the effective risk management and country, vulnerability, and debt sustainability assessments of IsDB member countries.</p> <p> <br> <strong>Statistical Analysis:</strong> <br> Utilize advanced visualization tools and programming languages (e.g., Python, R, Tableau, Power BI, JavaScript, etc.) modern web technologies, and cloud-based analytics tools to transform raw data into interactive dashboards and easy-to- understand graphical representations, including web-based data applications and institutional analytical products.</p> <p> Develop and improve the aggregation techniques and methods to meet international standards and best practices including reproducible statistical workflows, automated indicator calculation pipelines, and documented methodological standards.</p> <p> Refine and optimize code to improve efficiency and ensure scalability, maintainability, security, and performance across data pipelines, APIs, dashboards, and analytical applications.</p> <p> </p> </div> </div> <div> <div><br></div><div> </div> </div> <div> <div> <b>KEY ACCOUNTABILITIES</b> </div> <div> <p> </p> <p> <strong>Knowledge Sharing and Dissemination:</strong> <br> Guide and facilitate the knowledge transfer of the Division s analyses and findings to other employees within the IsDB Group and externally to Regional Hubs to ensure awareness.<br> Contribute to and coordinate the annual and periodic events conducted by the IsDB Institute, such as Seminars, Regional workshops, NGOs seminars and capacity- building workshops.<br> Participate in the preparation of statistical outputs and the Division s publications and releases.<br> Develop, participate in, and contribute to relevant internal and external training, conferences and other activities for advocacy, dissemination and knowledge building in member countries in collaboration with other regional and international organizations.<br> Report IsDB operational data on the relevant Global Datasets and Global Reports.<br> Organization of statistical events and statistical capacity development initiatives, including the OIC-STATCOM, regional workshops, seminars, etc.</p> <p> <br> <strong>Reporting:</strong> <br> Prepare periodic and thematic statistical reports and contribute to the preparation of relevant reports for the use and information of internal and external parties.<br> Coordinate with other stakeholders to present the reports and publications related to performance of Division s programs.</p> <p> <br> <strong>Leadership and Mentoring:</strong> <br> Mentor data scientists, guiding them in complex data projects and fostering a culture of knowledge sharing and collaboration.</p> <p> <br> <strong>Innovation and Strategic Contributions:</strong> <br> Lead and contribute to strategic projects that leverage innovative data science methods to drive decision-making and policy formulation.</p> </div> </div> <div> <div> <b>ACADEMIC AND PROFESSIONAL QUALIFICATIONS</b> </div> <div> <p> </p> <p> Bachelor s degree in statistics, data science, programming, information management or related fields.<br> Minimum 8 years of experience in advanced economic analysis focusing on economic and developmental issues, of which 3 years in an international development institution or national statistical office.<br> <strong>Languages:</strong> <strong>English:</strong> Mandatory | <strong>Arabic: </strong>Preferred | <strong>French: </strong>Preferred</p> </div> </div> <div> <div> <b>SKILLS &amp; NECESSARY KNOWLEDGE</b> </div> <div> <p> </p> <p> Advanced knowledge in descriptive, inferential, and advanced statistical applications.<br> Ability to interpret and present statistical information in a user-friendly manner.<br> Data Collection and Management.<br> Strong understanding of the national accounts, balance of payments and government fiscal accounts.<br> Good macroeconomic understanding of the relationships between variables, both within and across accounting systems.<br> Excellent knowledge of the principal sources and retrieval systems of economic and social development data.<br> Proficient in appropriate statistical software packages such as STATA, R, PYTHON, Power BI, Tableau, JavaScript, etc.<br> Advanced skills in collecting data, synthesizing data and maintaining databases.<br> Advanced analytical thinking.<br> Drive for Result.<br> Accurate and methodical.<br> Ability to work under pressure.<br> MS Office skills.</p> </div> </div> <div> <div><br></div></div></div></section>

Role Summary:The Data Scientist will be responsible for designing, developing, and deploying advanced machine learning and AI solutions to support data-driven decision-making across the organization. The role focuses on building scalable predictive models, integrating AI capabilities into business systems, and enabling actionable insights through analytics and visualization platforms. Key Responsibilities:Design, develop, and implement machine learning models including:Regression models Classification models Clustering algorithms Develop and deploy deep learning models for advanced analytical use cases such as prediction, pattern recognition, and anomaly detection. Work on LLM-based solutions, including text summarization and intelligent content generation using platforms such as Hyper GPT. Build and integrate forecasting models (Hyper Forecast integration) to support business planning and predictive analytics. Manage the full machine learning lifecycle, including data preprocessing, feature engineering, model training, validation, and optimization. Deploy ML/AI models into production environments ensuring scalability, reliability, and performance monitoring. Collaborate with data engineering and IT teams to operationalize models using APIs and cloud-based infrastructure. Integrate predictive models and insights into Power BI dashboards to enable real-time business intelligence and decision support. Continuously monitor and improve model performance using appropriate evaluation metrics and retraining strategies. Ensure best practices in MLOps, version control, and model governance. Required Skills & Experience:6+ years of experience in Data Science, Machine Learning, or AI development. Strong experience with Python / R and ML libraries (Scikit-learn, Tensor Flow, PyTorch, etc.). Solid understanding of statistical modeling and predictive analytics. Experience in deep learning architectures and applications. Hands-on experience with LLMs and NLP-based solutions (e.g., summarization, text generation). Experience deploying models into production environments (APIs, cloud platforms). Strong knowledge of data visualization tools, especially Power BI. Experience integrating predictive models into BI dashboards. Familiarity with MLOps practices and CI/CD pipelines for ML. Strong problem-solving and analytical thinking abilities. Preferred:Experience with enterprise forecasting solutions (e.g., Hyper Forecast or similar platforms). Cloud experience (Azure, AWS, or GCP). Knowledge of data warehousing and big data technologies.

DNS Administration Experience- 8+ Years Location- Jeddah<br>We are looking for a skilled DNS Engineer / DNS Administrator to manage, maintain, troubleshoot, and optimize enterprise DNS infrastructure. The candidate will be responsible for DNS design, configuration, administration, performance monitoring, security, and troubleshooting across on-premises and cloud environments.<br>Key Responsibilities Design, configure, administer, and maintain enterprise DNS infrastructure. Manage DNS servers, zones, records, forwarders, resolvers, and delegation. Configure and troubleshoot A, AAAA, CNAME, MX, TXT, NS, PTR, SRV and other DNS records. Manage authoritative and recursive DNS services. Perform DNS zone creation, transfers, delegation, and migrations. Troubleshoot DNS resolution, latency, propagation, and connectivity issues. Implement and manage DNS security including DNSSEC, secure dynamic updates, and access controls. Monitor DNS availability, performance, capacity, and health. Work with networking, security, cloud, and infrastructure teams to resolve DNS-related issues. Support DNS infrastructure across data centers, hybrid cloud, and public cloud environments. Automate DNS administration and operational tasks using scripting and automation tools. Participate in DNS migration, upgrades, disaster recovery, and business continuity activities. Maintain DNS documentation, standards, procedures, and configuration baselines. Participate in incident, problem, and change management processes. Provide L2/L3 support for complex DNS-related incidents. Required Technical Skills Strong hands-on experience with DNS administration and troubleshooting. Strong understanding of TCP/IP, UDP, IP addressing, subnetting, routing, and network protocols. Experience with DNS platforms such as:Infoblox BINDMicrosoft DNS / Windows Server DNSBlue Cat Other enterprise DNS solutions. Strong knowledge of DNS concepts including:Recursive vs. authoritative DNSDNS zones and delegation Zone transfers – AXFR/IXFRDNS caching and TTLForwarders and conditional forwarding Split-horizon DNSDNSSECReverse DNS / PTR records Experience with DNS troubleshooting tools such as nslookup, dig, host, tcpdump, Wireshark. Knowledge of DHCP and IPAM is highly desirable. Experience with Linux/Unix and Windows Server environments. Knowledge of cloud DNS services such as:AWS Route 53Azure DNSGoogle Cloud DNSExperience with scripting/automation using Python, Power Shell, Bash, or similar tools. Preferred Skills Experience with Infoblox NIOS and/or Blue Cat Address Manager. Knowledge of IPAM, DHCP, DNS automation, and network security. Experience with Terraform, Ansible, REST APIs, or other automation frameworks. Knowledge of load balancing and CDN technologies. Understanding of DNS-based security threats, DNS spoofing, cache poisoning, DDoS, and DNS tunneling. Experience working in large enterprise or global infrastructure environments.

<h3 >About the Role</h3> <p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jeddah, Makkah Province. This is a full-time position focused on leveraging data to inform and enhance product development. The successful candidate will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance insights into actionable decisions.</p> <h3 >Role Context and Impact</h3> <p >This role involves end-to-end ownership of analytics for a specific product area. Responsibilities range from defining success metrics and measurement plans to analyzing experiments, monitoring product launches, and providing recommendations for next steps. Given the complexity and scale of Salla's products, the role requires an experienced analyst who can quickly learn new domains, synthesize information from incomplete inputs, and make rigorous decisions efficiently, even with ambiguous data.</p> <h3 >Key Responsibilities</h3> <ul > <li >Partner with product teams to translate questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li >Own analytics across key product journeys, including funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li >Conduct deep-dive analyses to diagnose performance changes, uncover root causes, and recommend product opportunities.</li> <li >Design and analyze A/B tests and impact evaluations, covering metric selection, guardrails, validation checks, and decision recommendations.</li> <li >Develop and validate tracking plans for new features.</li> <li >Measure product launches and build dashboards and self-serve tools for monitoring product health.</li> <li >Communicate findings, business impact, and trade-offs clearly, while contributing to team best practices and supporting junior analysts.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a related role within a technology or digital-product environment.</li> <li >Advanced SQL skills and practical experience working with large, complex datasets.</li> <li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li >Hands-on experience with product experiments and a solid understanding of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 >Essential Skills and Attributes</h3> <ul > <li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau.</li> <li >Working knowledge of Python or R for data analysis.</li> <li >Strong product judgment and the ability to manage analytical work independently in ambiguous situations.</li> <li >Excellent communication and stakeholder-management skills, with the ability to influence product decisions through data-driven insights.</li> </ul> <h3 >Joining Salla</h3> <p >This role offers an opportunity to contribute to a dynamic product environment where analytical rigor and quick decision-making are valued. Candidates should be prepared to operate in a fast-paced setting, applying their expertise to complex challenges without always having a predefined playbook.</p>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Engineer, Sr 1 based in Saudi Arabia.<br><br>This role is designed for an experienced AI Engineer passionate about building innovative, production-ready artificial intelligence solutions.<br><br>You will contribute to the design and development of advanced AI systems powered by Large Language Models and modern cloud technologies.<br><br>The position focuses on creating intelligent digital experiences through scalable AI services, agentic workflows, and secure enterprise integrations.<br><br>You will work on challenging projects involving model deployment, optimization, retrieval systems, and AI-powered applications.<br><br>The role offers the opportunity to collaborate with multidisciplinary teams while shaping the future of AI-driven products.<br><br>You will have significant ownership in delivering reliable, high-performing AI solutions that create measurable business impact.<br><br>Accountabilities<br><br>The AI Engineer will be responsible for designing, developing, and optimizing AI-powered solutions while ensuring scalability, reliability, and strong engineering practices. The role requires a balance of technical expertise, problem-solving skills, and collaboration across teams.<br><br>Design, develop, and enhance AI-powered applications, including intelligent chatbot experiences and enterprise AI solutions. Integrate and deploy open-source Large Language Models (LLMs) within secure private cloud environments. Build and maintain scalable Python backend services supporting AI-driven interactions and workflows. Design and implement agentic AI workflows, including tool integrations, context retrieval, database querying, and external API communication. Optimize AI model performance, latency, scalability, and reliability across GPU-based environments. Integrate AI solutions with cloud platforms and existing infrastructure to support production deployments. Monitor, evaluate, and continuously improve AI systems using LLM evaluation techniques and performance optimization methods. Develop reliable, production-grade AI solutions while collaborating with technical and non-technical stakeholders. Contribute to system design decisions and promote best practices for AI engineering.<br><br>Requirements<br><br>The ideal candidate brings strong experience in AI engineering, backend development, and deploying intelligent systems at scale. They should demonstrate technical ownership, strong analytical thinking, and the ability to collaborate effectively in complex environments. <br><br>Strong professional experience in AI engineering, particularly with Large Language Models (LLMs). Hands-on experience with open-source AI frameworks such as Hugging Face Transformers. Proven experience deploying AI models on GPU infrastructure. Strong Python backend development skills for AI services and APIs. Experience with LLM engineering patterns, including:Tool calling and structured outputs. Retrieval systems and context management. Streaming responses and real-time AI interactions. Experience building real-time chat systems using HTTP streaming technologies such as SSE or similar solutions. Experience integrating AI systems with databases, APIs, and external services to enable intelligent decision-making. Familiarity with Azure cloud services, especially Azure AI and related infrastructure. Knowledge of AI model optimization techniques, including quantization, inference optimization, and scalability strategies. Understanding of modern software engineering practices and production system design. Strong problem-solving and system architecture skills. Ability to communicate clearly with both technical and business stakeholders. High level of ownership, accountability, and focus on delivering reliable solutions.<br>Nice To Have<br><br>Experience with frontend technologies such as React or Next.js. Experience developing user-facing conversational interfaces. Experience with advanced AI evaluation frameworks and production monitoring practices.<br><br>Benefits<br><br>Competitive salary based on skills, qualifications, experience, and location. Comprehensive benefits package. Opportunity to work on innovative AI-driven projects with real-world impact. Collaboration with a diverse and international team. Remote work flexibility. Professional growth opportunities in a fast-evolving technology environment. Exposure to cutting-edge AI technologies and enterprise-scale solutions. Inclusive workplace culture focused on innovation and continuous learning.<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.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled Cybersecurity Engineer to protect enterprise applications, infrastructure, and cloud environments by implementing robust security controls, identifying vulnerabilities, and responding to security threats. The ideal candidate will have experience with application security, cloud security, identity and access management, vulnerability management, and security automation while ensuring compliance with organizational and industry security standards.</p><p>Key Responsibilities</p><ul><li>Design, implement, and maintain enterprise security controls across applications, infrastructure, and cloud environments.</li><li>Perform vulnerability assessments, security scans, penetration testing coordination, and risk assessments.</li><li>Secure CI/CD pipelines by integrating automated security scanning tools.</li><li>Monitor, investigate, and respond to security incidents and vulnerabilities.</li><li>Implement identity and access management (IAM) and authentication solutions.</li><li>Configure and manage Web Application Firewalls (WAFs) and cloud-native security services.</li><li>Collaborate with development, DevOps, infrastructure, and compliance teams to implement secure-by-design practices.</li><li>Develop security documentation, policies, standards, and incident response procedures.</li><li>Support compliance initiatives and security audits.</li></ul><p>Must Have Skills</p><ul><li>Experience with Trivy OR Grype OR Snyk OR Prisma Cloud for vulnerability and container image scanning.</li><li>Experience with Gitleaks OR GitGuardian OR TruffleHog for secrets detection and source code security.</li><li>Experience with Burp Suite OR OWASP ZAP OR Nessus OR Acunetix for application security testing and vulnerability assessment.</li><li>Experience with Web Application Firewall (WAF) OR Google Cloud Armor OR AWS WAF OR Azure Web Application Firewall OR Cloudflare WAF.</li><li>Experience with Okta OR Microsoft Entra ID (Azure AD) OR Ping Identity OR Auth0 OR Keycloak for identity and access management.</li><li>Application Security AND Cloud Security AND Identity &amp; Access Management (IAM) AND Vulnerability Management AND Incident Response.</li><li>Knowledge of OWASP Top 10 AND Secure SDLC AND Threat Modeling.</li><li>Experience with Linux AND Networking AND TCP/IP AND DNS AND HTTPS.</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket.</li><li>Strong analytical, troubleshooting, communication, and problem-solving skills.</li></ul><p>Good to Have Skills</p><ul><li>SIEM platforms: Splunk OR Microsoft Sentinel OR QRadar OR Elastic Security.</li><li>Container and Kubernetes security using Docker OR Kubernetes OR OpenShift.</li><li>Cloud platforms: Google Cloud Platform (GCP) OR AWS OR Microsoft Azure.</li><li>Security automation and scripting using Python OR Bash OR PowerShell.</li><li>CI/CD tools: Jenkins OR GitHub Actions OR GitLab CI OR Azure DevOps.</li><li>Compliance frameworks: ISO 27001 OR NIST Cybersecurity Framework OR CIS Controls OR SOC 2.</li><li>Endpoint protection tools: Microsoft Defender OR CrowdStrike OR SentinelOne.</li><li>Certifications: CompTIA Security+ OR CEH OR GSEC OR CISSP OR CCSP OR Google Professional Cloud Security Engineer.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Qualifications</p><ul><li>Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.</li><li>3 11 years of experience in cybersecurity, application security, cloud security, or security engineering.</li><li>Experience securing enterprise applications and cloud-native environments.</li><li>Strong understanding of security architecture, risk management, and security best practices.</li><li>Excellent communication skills and the ability to collaborate effectively with cross-functional teams.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an MSS Lead Engineer with specialized expertise in log onboarding, parsing, and data engineering within a SIEM environment. The ideal candidate will have hands-on experience integrating diverse security data sources, developing normalization strategies, and building reliable ingestion pipelines. A strong understanding of SIEM architecture, system hardening, scripting, and automation is essential. This role supports security operations by managing the full lifecycle of log data from onboarding and normalization to enrichment and delivery into detection platforms. You will also contribute to the hardening of systems involved in service providing and play a key role in onboarding assets and telemetry into a Managed Detection and Response (MDR) service.</p><p><strong>Core Responsibilities:</strong></p><ul><li><strong>Log Source Onboarding:</strong> Integrate new log sources into the SIEM, including network, endpoint, identity, and cloud telemetry, ensuring they meet quality and compliance standards.</li><li><strong>MDR Onboarding Support:</strong> Facilitate onboarding of systems, assets, and log streams into the MDR platform, ensuring visibility, alert fidelity, and alignment with threat detection use cases.</li><li><strong>Parsing &amp; Normalization:</strong> Create and maintain field extractions and parsing logic to ensure logs are properly structured and normalized against common data models.</li><li><strong>Automation &amp; Scripting:</strong> Develop scripts and automation tools to streamline onboarding, data transformation, health monitoring, and alert enrichment processes.</li><li><strong>System Hardening:</strong> Apply security best practices to harden systems involved in log collection, including agents, collectors, and supporting infrastructure.</li><li><strong>Validation &amp; Quality Assurance:</strong> Ensure the integrity, completeness, and performance of ingested log data through automated validation routines and dashboard-driven monitoring.</li><li><strong>Architecture &amp; Pipeline Design:</strong> Contribute to the design of scalable and resilient data pipelines, enabling high-throughput ingestion, minimal data loss, and efficient indexing.</li><li><strong>Maintenance &amp; Optimization:</strong> Continuously tune ingestion and parsing processes to reduce noise, improve relevance, and enhance the overall performance of log pipelines.</li><li><strong>Security Use Case Support:</strong> Collaborate with SOC and threat detection teams to ensure collected data supports active detections, investigations, and compliance needs.</li><li><strong>Continuous Enhancement:</strong> Stay current on logging trends, automation frameworks, and detection engineering techniques. Continuously assess and onboard new data sources as security requirements evolve.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>4-6 years of experience with SIEM platforms, log engineering, and security operations.</li><li>Experience onboarding to MDR or SOC-as-a-Service platforms is a strong plus</li><li>Solid understanding of log formats (e.g., syslog, JSON, CEF) and network protocols</li><li>Proficiency in scripting (Python, Bash, PowerShell, etc.) for automation and parsing</li><li>Familiarity with system hardening techniques and secure configuration standards</li><li>Knowledge of endpoint, cloud, identity, and network security telemetry</li><li>Experience with automation/orchestration frameworks and security tool integrations</li><li>Relevant certifications (SIEM, scripting, or cybersecurity) are a plus</li><li><strong>Skills:</strong> Strong analytical, troubleshooting, and communication skills</li><li>Ability to manage priorities and work cross-functionally in a fast-paced environment</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are seeking a Full-Stack Engineer with a strong expertise in Flutter to join a fast-growing startup building digital solutions for the construction industry.<br> While your primary superpower will be driving mobile app development using Flutter, you will also play a key role in building, maintaining, and integrating the backend services that power our mobile experiences.<br> This is a hands-on role for a versatile engineer who enjoys building scalable, end-to-end features in a fast-paced, agile environment.<br> Key Responsibilities • Frontend Mobile Development: Design, build, and maintain cross-platform mobile applications using Flutter/Dart, translating complex UI/UX designs into high-quality, responsive interfaces.<br> • Backend Architecture &amp; Integration: Develop, optimize, and maintain scalable backend services, databases, and server-side logic to support the mobile application.<br> • API Management: Design and implement robust RESTful APIs, WebSockets, or GraphQL endpoints, ensuring smooth data synchronization between the frontend and backend.<br> • Performance Optimization: Debug, profile, and optimize end-to-end application performance—addressing both mobile UI rendering bottlenecks and backend database query latency.<br> • Clean Code &amp; Architecture: Maintain clean, scalable, and well-documented architectural patterns across the entire technical stack.<br> • Startup Collaboration: Work closely with product owners, designers, and the broader engineering team to contribute to architectural decisions as our product scales.<br> Core Mobile Expertise: 3–5 years of hands-on experience with Flutter &amp; Dart, with a proven track record of shipping production-ready mobile apps to the App Store and Google Play.<br> • Robust Backend Experience: Solid experience building server-side applications using modern backend technologies (e.<br>g., Node.js, Python/Django, Go, or .<br>NET) and managing relational/non-relational databases (PostgreSQL, MongoDB, etc.<br>). • State Management &amp; Architecture: Deep understanding of Flutter state management solutions (Bloc, Riverpod, or Provider) and solid architectural patterns (Clean Architecture, MVVM).<br> • System Integration: Strong proficiency in REST API integration, authentication protocols (OAuth2, JWT), and third-party SDK integrations.<br> • Industry Context: Prior experience building software for construction, real estate, PropTech, or field-services industries is a strong plus.<br> • Mindset &amp; Communication: Comfortable navigating a fast-paced startup environment with evolving scopes.<br> Strong English communication skills (written and verbal) are essential.<br> Nice to Have • Experience with Cloud Infrastructure (AWS, Azure, or GCP) and serverless architectures.<br> • Familiarity with mobile CI/CD pipelines (Codemagic, Fastlane, GitHub Actions) and automated testing frameworks.<br> • Background in native Android (Kotlin) or iOS (Swift) development.<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Company Description: Naseej is a leading technology company committed to harnessing the power of digital transformation in learning &amp; knowledge management by enabling our customers to provide rich experiences for their users and adapt to a dynamic technology landscape while reducing their technical burden enabling them to focus on achieving their strategic objectives. And for almost 36 years, Naseej with its branches all over the MENA region had made many contributions to be one of the market leaders in the fields of E-Learning, Edu-Tech &amp; Digital transformation. Naseej website: https://www.naseej.com/</p><p>Job Summary: The Penetration Tester (Offensive Security Specialist) is responsible for planning and executing authorized simulated attacks against networks, applications, and infrastructure to identify security weaknesses before malicious actors can exploit them. This role requires strong hands-on offensive security expertise and the ability to translate technical findings into clear, actionable remediation guidance.</p><p>Key Responsibilities:</p><ul><li>Plan, scope, and conduct penetration tests across web applications, networks, APIs, mobile applications, and cloud and on-premise infrastructure.</li><li>Perform vulnerability assessments and validate findings to eliminate false positives.</li><li>Conduct manual exploitation beyond automated scanning to assess real-world risk.</li><li>Execute social engineering and phishing simulations where authorized.</li><li>Document findings in clear, detailed reports including risk ratings, business impact, and prioritized remediation recommendations.</li><li>Present results and debrief both technical teams and non-technical stakeholders.</li><li>Retest remediated vulnerabilities to confirm effective closure.</li><li>Stay current with emerging threats, attack techniques, exploits, and security tools.</li><li>Support red team exercises and collaborate with blue team / SOC where required.</li><li>Ensure all testing is conducted within agreed scope, rules of engagement, and applicable regulations.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or a related field.</li><li>3 4 years of dedicated, hands-on penetration testing / offensive security experience (experience must be directly and fully related to the role).</li><li>Strong knowledge of common vulnerabilities and frameworks (e.g., OWASP Top 10, MITRE ATT&amp;CK).</li><li>Proficiency with industry tools such as Burp Suite, Metasploit, Nmap, Nessus, Kali Linux, and similar.</li><li>Solid understanding of networking protocols, operating systems (Windows/Linux), and web technologies.</li><li>Scripting ability (e.g., Python, Bash, or PowerShell) for custom tooling and automation.</li><li>Strong report-writing and communication skills in English and Arabic.</li><li>Relevant certifications such as OSCP or CEH, GPEN, eJPT/eCPPT, or equivalent.</li><li>Awareness of Saudi regulatory and compliance frameworks (e.g., NCA controls) is an advantage.</li></ul><p>Key Competencies:</p><ul><li>Strong analytical and problem-solving mindset.</li><li>Attention to detail and a methodical approach to testing.</li><li>Ability to work independently and manage testing engagements end to end.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><p>Key Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><p>Generative AI Engineering</p><ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><p>MLOps &amp; AI Operations</p><ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul><p>Cloud &amp; Platform Engineering</p><ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul><p>Data Engineering &amp; Integration</p><ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><p>Stakeholder Management</p><ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><p>Required Technical Skills</p><p>Artificial Intelligence &amp; Machine Learning</p><ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents &amp; Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring &amp; Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers &amp; DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul><p>Mandatory Requirements</p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, Data Infrastructure & Acquisition based in Saudi Arabia.<br><br>This role sits at the intersection of software engineering, data infrastructure, and applied AI, focusing on building and scaling the systems that power large-scale dataset acquisition for next-generation machine learning models. You will work in a fully distributed environment alongside engineers, researchers, and product leaders to design robust ingestion pipelines capable of handling massive, high-quality audio and text datasets. The work directly impacts how data is collected, processed, and transformed into training-ready assets that fuel AI innovation. You’ll contribute to improving the cost, scale, and efficiency of data systems while helping define the roadmap for dataset development. The environment is fast-moving, highly collaborative, and deeply technical, with strong ownership and autonomy. This is a chance to shape foundational infrastructure used by millions of users globally.<br><br>Accountabilities<br><br>You will be responsible for building, maintaining, and scaling large-scale data ingestion and acquisition systems that support AI model training and product development. You will design and extend cloud-based infrastructure, optimize data pipelines, and ensure efficient processing of high-volume datasets across distributed systems. You will collaborate closely with AI scientists and engineering teams to improve data quality, reduce cost, and increase throughput for training workflows. You will also identify and integrate new external data sources, including audio and web-based datasets, into production pipelines. Additionally, you will help define dataset strategy and contribute to architectural decisions that support long-term scalability and reliability of infrastructure systems.<br><br>Build and maintain scalable data ingestion and processing pipelines Extend cloud infrastructure (GCP) using Infrastructure-as-Code tools Identify and integrate new data sources into acquisition systems Collaborate with research and AI teams to improve dataset quality and efficiency Optimize systems for cost, throughput, and reliability at scale Contribute to architecture and roadmap decisions for data infrastructure<br><br>Requirements<br><br>The ideal candidate brings strong software engineering experience with a focus on distributed systems, data infrastructure, or backend engineering in production environments. You should have hands-on experience with Python and Linux-based development workflows, along with strong familiarity with cloud platforms such as GCP and infrastructure-as-code tools like Terraform. Experience with Docker, large-scale data pipelines, or web crawling systems is highly valuable. You are comfortable working in fast-paced, ambiguous environments and can manage multiple priorities effectively. Strong communication skills and the ability to collaborate across technical and research-driven teams are essential. A background in Computer Science or a related technical field is expected, along with a proven ability to build reliable and scalable systems.<br><br>5+ years of software engineering experience Strong proficiency in Python and Linux environments (bash scripting) Experience with GCP and Infrastructure-as-Code (Terraform preferred) Hands-on experience with Docker and cloud-native development Exposure to large-scale data pipelines or web crawling systems (preferred) Strong problem-solving and system design skills Excellent communication and cross-functional collaboration abilities Degree in Computer Science or related technical field (BS/MS/PhD)<br><br>Benefits<br><br>Competitive base salary with bonus and equity opportunities Fully remote, distributed-first work environment High-impact role working on AI systems used at global scale Opportunity to shape foundational data infrastructure for ML models Collaborative, engineering-driven culture with strong autonomy Access to cutting-edge AI and data engineering technologies Fast-paced environment with ownership over meaningful technical problems Work on a product that improves accessibility and learning experiences worldwide<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.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot that's how we refer to this position at Mindrift you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic. What We Do 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. About the Role This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications. Key Responsibilities Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms. Design and implement conversational flows, dialogue state, and fallback handling. Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate. Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources). Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates). Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling. Implement logging, monitoring, and recovery so bots stay healthy in production. Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required). Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential. Technical Skills (Essential) At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.js for backend bot logic. Solid experience with REST APIs, webhooks, OAuth, and async request handling. Experience with relational or NoSQL databases for storing conversation state and user data. Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus. Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages). Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability no silent failures, no broken flows. Self-directed work ethic with the ability to design and ship complete bots independently. Portfolio or examples of bots you've built (required). English proficiency: Upper-intermediate (B2) or above (required). Project time expectations For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li><li>Strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.</li><li>Ability to design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.</li><li>Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</li><li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required).</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</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>This is not your typical IR or analyst role, we spend large percentages of our time on project work, balancing this with our operational duties such as detection engineering and incident response. If you're ready to make a tangible impact and drive innovative security projects, apply now to join our global team and help shape the future of security at Almosafer.We are looking for systems &amp; software engineers who love to solve complex security problems fundamentally from first principles.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor of Science in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field</li><li>3+ years of experience in the field of incident response, detection engineering or related security disciplines</li><li>Strong programming skills in Python, Rust, and/or Go.</li><li>Practical experience with BeyondCorp or Zero Trust security models.Proven expertise in one or more detection &amp; response areas:</li><li>Digital forensics (artefacts, disk/cloud acquisition, tools like GRR, Timesketch)</li><li>Malware analysis (static &amp; dynamic, IDA Pro, Ghidra)</li><li>Incident management &amp; response (large-scale, multi-stakeholder events</li><li>Host/network intrusion detection (parsing large, unfamiliar logs/systems)</li><li>Network telemetry (flows, PCAPs, Zeek)</li><li>Threat intelligence (modelling actors and TTPs)</li><li>Threat hunting (finding IOCs across data lakes)</li><li>OS internals across two or more of macOS, Windows, or Linux covering file/disk structures, forensics, security controls, hardening, scripting, and binary analysis.</li><li>Advanced cloud knowledge able to build, deploy, and investigate security events across two or more of AWS, Kubernetes, or GCP.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Incident Response Lead to manage and coordinate cybersecurity incident response activities.<br> The ideal candidate will have hands-on experience in Digital Forensics and Incident Response (DFIR) , investigating security incidents, conducting root cause analysis, and leading containment, eradication, and recovery efforts in enterprise environments.<br> Key Responsibilities Lead the investigation and response to cybersecurity incidents.<br> Perform incident triage, analysis, containment, eradication, and recovery.<br> Conduct digital forensic investigations and root cause analysis.<br> Coordinate with SOC, Security Engineering, IT, and business teams during security incidents.<br> Develop and maintain incident response playbooks and procedures.<br> Analyze malware, phishing attacks, ransomware, and other cyber threats.<br> Prepare incident reports and provide recommendations to prevent future incidents.<br> Support threat hunting and continuous improvement of incident response capabilities.<br> Ensure compliance with organizational security policies and industry best practices.<br> 5–7 years of experience in Cybersecurity.<br> Hands-on experience in Incident Response and Digital Forensics (DFIR) .<br> Experience investigating security incidents in an enterprise environment.<br> Knowledge of malware analysis, ransomware, phishing, and threat detection.<br> Experience with SIEM, EDR, and security monitoring tools.<br> Strong understanding of Windows, Linux, networking, and security fundamentals.<br> Excellent analytical, troubleshooting, and communication skills.<br> Nice to Have Certifications such as GCFA, GCIH, GCFE, CHFI, CEH, CySA+, or Security+ .<br> Experience with cloud security incident response (Azure, AWS, or GCP).<br> Scripting experience (PowerShell or Python).<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>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</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>