Python Developer Jobs in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Job Title: Retail Credit Risk &amp; Modelling Specialist (12 Month Contract)Location: Riyadh, Saudi Arabia <br> About the Role:We are seeking an experienced Retail Credit Risk &amp; Modelling Specialist to join a leading financial institution in Riyadh, Saudi Arabia on a 12-month fixed-term contract. This role focuses on developing, validating, and enhancing credit risk models and analytics frameworks, supporting key risk and regulatory initiatives within a dynamic banking environment.<br> Key Responsibilities:Develop, calibrate, and validate IFRS9 models including PD, LGD, and EAD componentsBuild and enhance application and behavioural scorecards to support credit decisioning and portfolio performanceConduct model validation, stress testing, and ongoing monitoring across retail credit portfoliosPerform data analysis, segmentation, and exploratory data analysis to support modelling activitiesSupport portfolio risk analytics, model calibration, and performance trackingEnsure compliance with internal model governance standards and regulatory requirements<br> Key Requirements:Proven experience in retail credit risk modelling within banking, consulting or financial servicesStrong understanding of IFRS9, Basel frameworks and retail credit risk methodologiesHands-on experience with SAS, Python or R, SQL and Excel-based modellingStrong background in scorecard development, model validation, and portfolio analyticsExperience working within model governance frameworks and regulatory environmentsExcellent analytical skills, attention to detail, and ability to manage multiple modelling workstreams</p><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>you will be responsible for the management, maintenance, and support of our Linux-based server environments. This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency. Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers. Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency. Implement and manage backups, disaster recovery, and security updates. Automate routine maintenance tasks using scripting languages (e.g., Bash, Python). Collaborate with development and network teams to ensure the seamless deployment and integration of applications. Provide technical support and guidance to users and IT staff regarding Linux systems. Maintain detailed documentation of system configurations, procedures, and changes. Participate in capacity planning and system upgrades, ensuring minimal downtime. Stay updated with the latest Linux technologies and industry trends.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, or a related field. 4+ years of experience as a Linux Administrator or similar role. Strong knowledge of Linux operating systems (e.g., Red Hat, Ubuntu, CentOS). Experience with server management, monitoring, and troubleshooting. Proficiency in shell scripting and automation tools. Familiarity with networking concepts, security best practices, and cloud services. Excellent problem-solving skills and attention to detail. Strong communication skills, both verbal and written. Relevant certifications (e.g., RHCE, CompTIA Linux+) are a plus. #LI-RK1</p>

<p><span style="font-size: 11px;">In this role, you will help strengthen the consistency and connectivity of engineering information across major infrastructure programs. This is an opportunity to contribute to projects where disciplined configuration control, effective integration, and close collaboration across technical and delivery stakeholders are essential to successful outcomes.</span></p><p>Responsibilities</p><ul><li>Manage configuration baselines and maintain accurate engineering documentation across project phases.</li><li>Coordinate system integration activities between multidisciplinary teams and external stakeholders.</li><li>Track design changes and ensure configuration updates are properly reviewed and approved.</li><li>Support interface management to resolve integration issues across connected systems.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in engineering or a related technical discipline.</li><li>At least 8 years of experience supporting configuration management activities and at least 8 years of experience supporting system integration activities.</li><li>Strong development experience in digital delivery platforms, including building, integrating, automating, and enhancing digital solutions.</li><li>Experience in construction project environments, including large-scale infrastructure project environments and engineering project delivery.</li><li>Hands-on experience with document control, change management, and baseline tracking.</li><li>Proven ability to work with design consultants, project delivery teams, external vendors, and senior client-side stakeholders.</li><li>Experience with Autodesk Construction Cloud Platform Services, REST APIs, and ETL processes and data transformation.</li><li>Experience with Microsoft Azure and Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.</li><li>Experience with .NET, JavaScript, or Python.</li><li>BIM or digital delivery background.</li></ul>

<p>We are looking for candidate with SAP BO +Power BI +Banking domain Onsite - Ready to travel onsite AMEA Riyadh Location. Experience Level 5 to 8 Years Detailed JD Experience in SAP Business Objects (SAP BO) along with Power BI, as the customer has a roadmap to migrate reports from SAP BO to Power BI. Good to have Python AI ML . Core Banking Domain Experience is Must. Dashboard &amp; Report Development Design, develop, and maintain interactive Power BI dashboards and reports that convert complex data into clear, decision-ready insights. Data Modelling &amp; Transformation Integrate multiple data sources, build efficient data models, and apply Power Query and DAX to ensure accuracy, consistency, and reporting-readiness. Governance &amp; Security Implement Row-Level Security, enforce data governance standards, and ensure all reports meet compliance and audit requirements. Performance Optimisation Monitor and tune report and dataset performance to maintain fast load times, reliable refresh cycles, and a stable analytics environment. Stakeholder Engagement Collaborate with business units to capture requirements, iterate on designs, and ensure delivered solutions drive real adoption and value. Continuous Improvement Proactively identify enhancements, retire redundant reports, and keep analytics outputs aligned with evolving business and data platform needs. Platform Administration Manage Power BI Service workspaces, datasets, gateway configuration, and production deployments to ensure a well-governed analytics environment.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full Stack Developers are responsible for developing a backend cloud base application and designing front end web architecture, ensuring the responsiveness of applications and working alongside graphic designers for web design features, among other duties. Full Stack Developers will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail. Developing front end website architecture. Designing user interactions on web pages. Developing back end website applications. Creating servers and databases for functionality. Ensuring cross-platform optimization for mobile phones. Ensuring responsiveness of applications. Working alongside graphic designers for web design features. Seeing through a project from conception to finished product. Designing and developing APIs. Meeting both technical and consumer needs. Staying abreast of developments in web applications and programming languages.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in Computer Science.</li><li>Strong organizational and project management skills.</li><li>Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.</li><li>Familiarity with JavaScript frameworks such as Angular JS, React and Amber.</li><li>Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net.</li><li>Familiarity with database technology such as MySQL, Oracle and MongoDB.</li><li>Proficiency in AWS technologies.</li><li>Excellent verbal communication skills.</li><li>Good problem solving skills.</li><li>Attention to detail.</li></ul><p></p></section>

We’re partnering with a fast-growing technology company building connected-worker and operational software for large-scale construction and industrial environments. Their platform brings together data from connected devices, workers and sites to power real-time safety, compliance and productivity applications.<br>They’re looking for a Principal Platform Engineer to take senior technical ownership across the platform - shaping architecture, solving complex distributed-systems problems and setting engineering standards while remaining deeply hands-on.<br>What You’ll Do:Own the technical architecture across backend services, data pipelines, APIs, SDKs, streaming and platform infrastructure. Design and build scalable, multi-tenant platform capabilities that connect workers, devices, sites, events and customer workflows. Define governed data pipelines with clear contracts, lineage, quality controls and reliable replay. Build secure and scalable APIs and SDKs for internal teams, partners, customers and AI applications. Make pragmatic technology and data-store decisions across relational, time-series, streaming, search and vector workloads. Drive the evolution of the backend platform, working primarily with C#/. NET while contributing across other languages where appropriate. Shape the technical direction of AI-native capabilities, including AI agents, retrieval, tool use, MCP and model evaluation. Improve engineering standards across testing, CI/CD, observability, release processes and production operations.<br>Who We’re Looking For:10+ years of software engineering experience, with sustained impact at Staff, Principal, Lead Architect or equivalent level. Proven experience designing and delivering scalable Saa S platforms or complex distributed systems in production. Strong backend and distributed-systems expertise, with deep hands-on experience in at least one of C#/. NET, Go, Python, Java or Node.js. Strong API design experience across REST and/or Graph QL, with knowledge of authentication and identity patterns such as OAuth, JWT and SSO. Experience with GCP and/or AWS, Kubernetes, Terraform, containers, CI/CD and observability. Experience working with governed data platforms, ontologies, data lineage or similar systems. Hands-on experience with modern AI integration patterns such as LLM prompting, RAG, tool/function calling, MCP or agent architectures. Exceptional written and spoken English.<br>Interested? Apply today!

<p><br></p><p>The opportunity</p><p>Assistant Manager/ Manager Business Consulting - Finance Technology &amp; AI</p><p>EY is building its EY.ai for Finance capability across MENA to meet fast-growing client demand for AI-enabled finance transformation. The successful candidate will help EY teams take AI-enabled FP&amp;A solutions to clients faster and at scale, moving finance functions from reporting the past to shaping the future through driver-based forecasting, variance intelligence, scenario planning and autonomous insights. You will work at the intersection of finance and technology, translating real FP&amp;A challenges into deployable AI solutions and acting as a bridge between CFO-level stakeholders and technical delivery teams.</p><p>Why this role matters</p><p>Market momentum: 90% of CFOs are actively integrating AI into long-term strategy, and adoption of AI in FP&amp;A rose sharply from around 6% in 2024 to a 41% increase in usage in 2025, creating strong, sustained client demand across MENA. Tangible impact : Up to 45% of FP&amp;A time is still spent cleaning and reconciling data; this role directly targets that gap by embedding AI-driven forecasting, automated reporting and insight generation.</p><p>Skills and attributes for success</p><p>AI-enabled FP&amp;A delivery</p><p>Design and deploy AI/ML-driven FP&amp;A solutions, driver-based forecasting, predictive and probabilistic forecasts, variance intelligence and what-if scenario modelling, that generate decision-ready insights for clients. Automate management reporting, variance analysis and narrative generation, reducing manual effort and close/reporting cycle times. Configure and tailor the EY.ai Finance multi-agent predictive engine and natural-language interface to each client s data landscape and use cases.</p><p>Data &amp; technical enablement</p><p>Build and integrate trusted data foundations across ERPs, EPMs and finance tools, ensuring data quality, governance and lineage to power reliable AI outputs. Apply hands-on technical and coding capability (e.g., Python/SQL) to data pipelines, model configuration, analytics and prototype development. Leverage GenAI and agentic AI to enrich data, harmonise multi-source inputs and surface anomalies, trends and unexplained variances.</p><p>Client advisory &amp; finance domain</p><p>Translate client FP&amp;A pain points into practical AI use cases; run current-state assessments, target-state definition and gap analysis. Bring strong FP&amp;A domain expertise, budgeting, forecasting, performance management, management reporting, to ensure AI initiatives align with finance goals and support responsible decision-making. Engage CFO-level and senior finance stakeholders, demystifying AI, building trust and driving adoption through effective change management.</p><p>Practice building</p><p>Contribute to the build-out of the Finance.AI capability across MENA, accelerators, methodologies, go-to-market assets and proposals. Support pursuits, proof-of-concepts and pilots, and help scale successful solutions to new clients and finance domains (Controllership, Risk, Treasury, Tax).</p><p>What we look for</p><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>A blend of AI, data and technical skills combined with a strong understanding of finance and ideally FP&amp;A.</li><li>Hands-on technical and coding capability (e.g., Python, SQL) and familiarity with AI/ML concepts, predictive analytics, forecasting, anomaly detection and automated reconciliations.</li><li>Strong data literacy: ability to analyse structured and unstructured financial data and interpret AI-driven insights to inform decisions.</li><li>4-8 years of experience with FP&amp;A processes and/or finance transformation, planning, budgeting, forecasting and reporting.</li><li>Ability to work with unified data models and integrate across ERP/EPM and finance systems.</li><li>Excellent communication and stakeholder-management skills, with the ability to translate technical outputs into business value for finance leaders.</li><li>Exposure to GenAI / agentic AI, natural-language interfaces, ML forecasting engines or EPM tooling.</li><li>Understanding of data governance, quality controls, and AI risk, ethics and compliance in a finance context.</li><li>Prior consulting, transformation or client-facing delivery experience; MENA regional exposure.</li><li>Relevant qualifications (e.g., finance/accounting, data science, computer science, engineering) or equivalent practical experience.</li></ul>

Greetings from Linnk! We are looking for an experienced Ansible Automation Platform (AAP) Engineer to join a leading Banking organization in Saudi Arabia. This is an onsite opportunity focused on enterprise automation, infrastructure reliability, and secure deployment practices within a highly regulated banking environment. Job Title: Ansible Automation Platform (AAP) Engineer Location: Onsite – Saudi Arabia Contract: Yearly Renewable Contract Key Responsibilities• Administer and manage Red Hat Ansible Automation Platform (AAP), including Private Automation Hub• Design and develop Ansible Playbooks, Roles, and automation workflows for infrastructure and banking applications.• Automate provisioning, configuration management, patching, deployments, and operational processes.• Integrate Ansible with CI/CD pipelines, monitoring tools, and ITSM platforms.• Implement automation solutions following security, compliance, scalability, and reliability standards.• Develop validation/pre-hook automation jobs and maintain automation documentation.• Support container-based automation environments using Podman, Docker, Kubernetes, and Open Shift.• Manage secrets using Hashi Corp Vault and follow security best practices.• Troubleshoot automation issues in mission-critical banking environments. Required Skills• 7–10 years of experience in Ansible automation and Linux administration.• Strong hands-on experience with Ansible Automation Platform (AAP) and Private Automation Hub.• Experience with Ansible Playbooks, Roles, Git Hub, and scripting (Python/Bash/Power Shell).• Experience with Hashi Corp Vault, Podman administration, and container technologies.• Familiarity with CI/CD tools such as Jenkins or Git Hub Actions.• Experience with Postgre SQL, Splunk, App Dynamics, Kubernetes, and Open Shift.• Understanding of banking IT operations, security standards, and compliance requirements. Preferred Qualifications• Bachelor’s degree in computer science, IT, or related field.• RHCE or Red Hat Ansible Automation Platform certification is preferred.• Experience with banking platforms, ITIL processes, and regulatory frameworks such as PCI DSS or ISO 27001. If this opportunity matches your profile, we would love to connect with you. If not, kindly feel free to refer someone from your network who may be a good fit for this role.<br>If you are interested share your profile to Athira. AR@linnk.com

About Us:We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a Cyber Security Engineer who can help us move even faster.noon’s mission: Every door, every day.<br>What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. As a Cyber Security Engineer, you will play a key role in maintaining secure and scalable systems while working closely with technology and risk teams to embed security into everything we build. Develop secure back-end logic for web and mobile applications Work closely with product and engineering teams to ensure secure integrations Perform threat modeling for new products and features Design and implement secure data models using relational databases Build scalable, high-quality code with strong security practices Collaborate with stakeholders to design, debug, and enhance secure solutions Stay updated on latest cybersecurity trends, threats, and technologies<br>What you'll need:Bachelor’s degree in Cyber Security, Computer Science/ Engineering, Information Security, or a related field Strong understanding of cybersecurity principles, best practices, and attack vectors Solid knowledge of algorithms, data structures, system design, RESTful APIs, and HTTPUnderstanding of MySQL and server-side Python with secure coding practices Familiarity with Dev Ops/Dev Sec Ops (CI/CD, Docker, Kubernetes, security automation) Strong communication skills and ability to explain technical concepts clearly Passion for cybersecurity demonstrated through projects, internships, or competitions0-2 year of experience in cybersecurity<br>Who will excel? We’re looking for people with high standards, who understand that hard work matters. You need to be relentlessly resourceful and operate with a deep bias for action. We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

We are hiring for one of our clients for the below requirement in Riyadh<br>Job Details:Role: Senior AI Engineer - Professional Services Employment Type: Permanent, with one of our clients Work Location: Riyadh, KSANotice Period: Immediate joiners to a maximum of 15-30 days of notice<br>Required Experience:Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production. Education: A Master’s Degree or Ph. D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP). Data Robot Experience: Familiarity with the Data Robot AI Platform is a strong plus. MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance. Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, Num Py, etc.). Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,Solid understanding of the end-to-end agentic AI lifecycle from building agents inframeworks like Lang Graph or Crew AI, to at scale deployment and monitoring. Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, Fast API) to serve ML models and Gen AI logic. Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints. Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems<br>If you are interested & have the relevant experience, please apply here with your latest resume and we shall get in touch with you.<br>Thank you! AIQU

We are looking for an experienced AI Technical Lead to lead the development and delivery of enterprise AI and Generative AI solutions. The ideal candidate will drive technical strategy, mentor AI engineers, and ensure scalable, secure, and production-ready AI implementations.<br>Requirements:8+ years of overall experience in Software Engineering, Artificial Intelligence, Machine Learning, or related technology domains. Minimum 5+ years of hands-on experience in AI and Machine Learning solution development. Strong proficiency in Python and enterprise application development. Proven experience delivering AI and Generative AI solutions from concept and prototyping through production deployment. Strong expertise in Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, Natural Language Processing (NLP), Machine Learning, Embeddings, and Vector Databases. Hands-on experience developing AI Agents, workflow orchestration, memory management, and tool integration. Experience with Lang Chain, Microsoft AI Stack, Mastra AI, Semantic Kernel, or similar AI frameworks. Experience with Azure Open AI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, or equivalent cloud AI platforms. Strong knowledge of AI evaluation frameworks, including groundedness, hallucination detection, retrieval quality, and task completion. Experience integrating AI solutions with enterprise APIs and business applications. Experience with cloud platforms, CI/CD pipelines, containers, observability, monitoring, security, and production support. Strong understanding of AI Governance, Responsible AI, LLMOps, and MLOps. Proven experience leading technical teams, mentoring engineers, conducting architecture and code reviews, and managing technical risks. Excellent stakeholder management, communication, analytical, presentation, and problem-solving skills. Ability to collaborate effectively with business, application, data, security, infrastructure, and Dev Ops teams.<br>Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Experience delivering enterprise AI solutions for Government, Public Sector, Banking, Tourism, or large enterprise organizations is preferred. Arabic language proficiency is highly preferred. Experience evaluating AI-generated content in both Arabic and English is an advantage. Relevant certifications in Microsoft Azure AI, Machine Learning, Artificial Intelligence, Cloud Technologies, or related domains will be considered an advantage.

TMC Middle East is looking for a Senior Dev Ops Engineer — Oracle Cloud Infrastructure (OCI) for a 6-month extendable contract with a leading technology organisation based in Riyadh, Saudi Arabia. If you live and breathe OCI, thrive in compliance-driven environments, and can own cloud infrastructure end-to-end from day one, this role is built for you. You'll operate at the intersection of platform engineering, observability, and multi-cloud governance — fully remote, with real impact from the start.<br>Responsibilities- Design, build, and operate OCI infrastructure (compute, VCN networking, security, Object/Block Storage, IAM) across KSA regions- Administer OCI-managed database services including MySQL Heat Wave with disaster-recovery configuration- Own OCI tenancy governance: compartments, policies, quotas, budgets, and cost optimisation- Build and maintain CI/CD pipelines (Git Hub Actions / Git Lab CI) and manage Terraform state on OCI Object Storage backends- Maintain the Prometheus / Grafana / Elastic observability stack and enforce NCA ECC/CCC and PDPL compliance controls<br>Requirements- 5+ years of Dev Ops / SRE / cloud infrastructure experience, with at least 3+ years hands-on with OCI- Deep expertise in OCI core services and strong Infrastructure-as-Code skills using Terraform and Ansible- Proven CI/CD pipeline experience and solid Linux/Windows Server administration with Bash, Power Shell, or Python scripting- Familiarity with Saudi regulatory cloud requirements (NCA ECC/CCC, PDPL data residency)- Experience with disaster recovery, backup strategies, and workload migration<br>Work Mode: This is a strictly remote role (Sunday–Thursday). Please apply ONLY if you are 100% comfortable working fully remote — candidates not aligned on this will not be considered.<br>Notice Period: Immediate joiners are preferred. Candidates with a notice period of up to 30 days are welcome to apply. If your notice period exceeds 30 days, please do not apply at this time.<br>To apply, send your CV to abishake.kosman@tmc-employeneurs.com. Due to the high volume of applications, only shortlisted candidates will be contacted — please do not expect a response if you are not selected, and kindly refrain from following up.

About us Inspira Enterprise combines global delivery, deep platform expertise, and strategic OEM alliances to drive large‑scale digital and cybersecurity transformation for enterprises worldwide. Our cybersecurity services are comprehensive ranging from basic perimeter security to advanced incident management and response. Through global partnerships with best-in-class technology providers, we deliver cutting-edge cybersecurity solutions designed to detect, predict, and manage cyber incidents effectively. Our five state-of-the-art Cyber Fusion Centers (CFCs) enable us to provide 24/7 support to clients across the globe. We are certified as the “Best Place to Work” and we have achieved this recognition for the 8th time!<br>Role: Consultant (Access Management)<br>Purpose:To design, implement, and support secure, scalable identity and access management solutions using the IBM Security Verify suite, ensuring seamless authentication, governance, and compliance across the organization.<br>Main Priorities:Implement and configure IBM Security Verify solutions (ISVA/ISVG/Verify Saa S) to meet business and security requirements. Enable secure authentication, authorization, SSO, MFA, and adaptive access across applications. Integrate enterprise applications and directories with IBM Verify for seamless identity lifecycle management. Troubleshoot, optimize, and support IAM environments to ensure high availability and performance. Develop and maintain access policies, workflows, connectors, and provisioning rules. Ensure alignment of IAM implementations with security standards, compliance needs, and architectural guidelines. Prepare technical documentation, solution designs, and operational runbooks to support ongoing IAM operations.<br>Key Requirements:1–3 years of experience in IAM, SSO, or Security Administration. Hands-on expertise with IBM Security Verify Access (ISVA), IBM Security Verify Governance (ISVG), or IBM Security Verify Saa S. Strong understanding of IAM concepts including SSO, MFA, RBAC, provisioning, de-provisioning, and identity lifecycle management. Knowledge of authentication and federation standards: OAuth 2.0, OIDC, SAML, and web security protocols. Experience with LDAP/Active Directory, directory integrations, and identity data models. Proficiency in scripting (Java Script, Shell, Python) for customization and automation. Exposure to IBM ISVA/ISAM implementations preferred. Experience supporting enterprise authentication and access management solutions. Knowledge of application onboarding and SSO integrations is an advantage.<br>Certifications (if any):IBM Security Verify Certification (preferred).

Jasara Program Management Company is a joint venture between the Public Investment Fund, Jacobs, and Saudi Aramco, focused on delivering social infrastructure programs in Saudi Arabia through a solutions-based approach. Working at the intersection of program management, infrastructure, and innovation, the company supports Vision 2030 by helping shape modern, high-impact environments and services. This is an opportunity to contribute to meaningful programs where digital capability plays a central role in improving delivery, performance, and long-term value.<br><br>As Digital Solutions Manager, you will help define and drive the digital direction of major programs, connecting technology strategy with operational goals and broader transformation priorities. The role is suited to someone who can work across business, delivery, and technology stakeholders to turn complex needs into practical, scalable digital solutions that improve how programs are planned, executed, and optimized.<br><br>Responsibilities<br><br>Lead digital transformation initiatives across infrastructure and social development programs Manage cross-functional teams to deliver technology solutions on time and within budget Define digital strategy aligned with organizational goals and Vision 2030 priorities Oversee vendor relationships, solution implementation, and ongoing performance optimization Identify process improvement opportunities through data, automation, and digital tools<br><br>Requirements<br><br>Required Qualifications<br><br>Bachelor's degree in information systems, computer science, or a related field Proven experience leading enterprise digital transformation programs in complex organizations Experience delivering digital platforms, tools, and solutions within the built environment, construction, or infrastructure sectors Ability to build, integrate, automate, and enhance digital solutions Experience aligning technology strategy with business goals and national transformation initiatives<br><br>Preferred Qualifications<br><br>Experience with BIM or digital delivery Hands-on experience with Autodesk Construction Cloud Platform Services, Microsoft Azure, and Microsoft Power Platform, including Power Apps, Power Automate, and Power BIExperience working with . NET and Java Script or Python Experience with REST APIs, system integrations, and ETL processes for data transformation Familiarity with project delivery and experience engaging executive leadership, program or project teams, external vendors, and client-side infrastructure stakeholders

Senior Gen AI & Agentic AI Architect – (Remote, must be based in KSA)<br><br>Location: Remote (Saudia Arabia based)<br><br>About The Role<br><br>Our client, a global Amazon Consulting Partner with distributed teams across the US, Canada, UAE, KSA, India, and Pakistan, is hiring a high-caliber Senior Generative AI Architect with proven hands-on experience in building Agentic AI applications.<br><br>This role is ideal for someone who has 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, Lang Chain, Auto GPT, or similar frameworks.<br><br>Key Responsibilities<br><br>Design and develop Agentic AI applications using LLM frameworks (Lang Chain, Auto GPT, Crew AI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external Saa S products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support Gen AI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders <br><br>Ideal Candidate Profile <br><br>Min 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with:Lang Chain, Auto GPT, Crew AI, ReAct, Semantic Kernel Open AI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills <br>Why Join?<br><br>Work on Saudi and UAE AI initiatives Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, KSA India, and Pakistan Competitive compensation + long-term career roadmap <br><br>Skills: llama2,generative ai,ai application development,gemini,vector databases,agents,prompt engineering,langchain,crewai,autogpt,openai,embedding models,llm frameworks,rag,agentic ai,semantic kernel

Company Description Starways is a Saudi technology partner specializing in complex government digital transformation across the Kingdom. Since 2009, the company has delivered more than 100 projects for over 70 government clients, maintaining a 99% on-time delivery rate. Starways builds government-grade platforms aligned with SDAIA, PDPL, NCA, and ISO compliance frameworks and supports client teams in fully owning these solutions. Its core expertise includes digital government platforms, AI and data, cloud and Dev Ops, enterprise applications, RPA, and technical outsourcing for leading public sector organizations.<br>Role Description The Data Analyst role at Starways is a full-time, on-site position based in Riyadh, Saudi Arabia. The Data Analyst will collect, clean, and analyze data from various government platforms to generate actionable insights that support service improvement and strategic decision-making. Responsibilities include building reports and dashboards, performing statistical analyses, and developing data models that align with regulatory and compliance frameworks. The role also involves collaborating with cross-functional teams, presenting findings in clear formats, and contributing to the continuous enhancement of data quality and performance metrics for government clients.<br>Qualifications<br> Candidates should possess strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and identify trends. Candidates should possess solid Statistics knowledge to design analyses, validate results, and support data-driven decisions. Candidates should possess Data Modeling skills to structure, optimize, and maintain data models for reporting and integration. Candidates should possess clear and effective Communication skills to present insights and collaborate with technical and non-technical stakeholders. Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. Proficiency in relevant tools (e.g., SQL, Excel, BI tools such as Power BI or Tableau; experience with Python or R is a plus). Experience working with enterprise or government data platforms and familiarity with data governance and compliance frameworks is beneficial. Ability to work on-site in Riyadh, manage multiple projects, and adapt to a fast-paced, mission-driven environment.

Role Overview<br>We're looking for a Staff AI Software Engineer who is equally passionate about building software and elevating engineering standards. This is a 50% hands-on coding and 50% technical leadership role, where you'll work closely with the engineering team to define best practices, improve development workflows, and help shape sprint planning and technical execution.<br>Key Responsibilities Hands on: Design, build, and scale modern full-stack applications with a focus on performance, scalability, and reliability. Provide technical leadership by mentoring engineers, conducting code reviews, and championing engineering best practices. Define coding standards, software architecture, and development processes that improve quality and consistency across the engineering team. Partner with Product Managers and Engineering Leadership to shape sprint planning, break down technical initiatives, estimate work, and improve delivery.<br>What We're Looking For8+ years of experience in software engineering, with experience operating at Staff, Principal, or Technical Lead level. Strong commercial experience with Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC). Strong full-stack development experience using React, Next.js, Type Script, and modern frontend technologies. Experience designing and building distributed, microservices-based architectures. Experience building and consuming REST APIs and event-driven systems. Experience working with Postgre SQL and/or Mongo DB. Experience with Docker, containerisation, Git, CI/CD pipelines, and cloud-native development. Strong understanding of software architecture, design patterns, scalability, and system performance. Experience mentoring engineers and influencing technical direction across multiple teams. Excellent communication and stakeholder management skills. Experience building AI-native products or integrating LLMs into production systems. Hands-on experience with RAG, AI agents, vector databases, Lang Chain, Lang Graph, MCP, or similar AI frameworks. Experience with Python and Fast API for AI services. Experience working in high-growth startups or scaling technology businesses. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Experience working with AI coding assistants such as Claude, Codex, Cursor, or Git Hub Copilot. Comfortable working in a fast-paced startup environment with a high degree of ownership.

Job Title: Senior Geotechnical Engineer Location: Saudi Arabia (Jeddah) Company: SBU of Abunayyan Holding Company Industry: Solar Energy | Renewable Energy | Utility-Scale Infrastructure | Engineering About the Role We are looking for an experienced Senior Geotechnical Engineer to join our Engineering team and support the successful delivery of utility-scale Solar PV and infrastructure projects. The successful candidate will lead geotechnical investigations, foundation design, corrosion assessments, and construction support while working closely with Engineering, Project Management, Sales, Supply Chain, and global technical teams. Key Responsibilities Lead the review and interpretation of geotechnical investigation reports and site soil data. Analyze soil and rock conditions to determine geotechnical design parameters. Design and review shallow and deep foundation systems, including pile foundations, for utility-scale projects. Perform foundation analysis using L. PILE and other engineering software. Conduct corrosion assessments and recommend suitable foundation and steel pile protection systems. Prepare and review geotechnical and foundation design reports in accordance with international standards. Review pile load testing methodologies, witness testing activities, and validate test results. Collaborate with Engineering, Supply Chain, Project Management, and global technical teams to optimize foundation designs. Support value engineering initiatives to improve project cost, constructability, and performance. Provide technical guidance to junior engineers and support construction teams by resolving geotechnical issues during project execution. Participate in technical discussions with clients, consultants, and contractors throughout the project lifecycle. Qualifications Bachelors / Master's Degree in Geotechnical Engineering or a related discipline.5–10 years of experience in geotechnical engineering and foundation design. Experience in renewable energy, utility-scale infrastructure, or industrial projects. Technical Skills Geotechnical Investigation & Site Assessment Soil Mechanics & Foundation Engineering Shallow & Deep Foundation Design Pile Foundation Design Pile Load Testing & Interpretation Corrosion Assessment L. PILE Software SPT, CPT & DCPT Interpretation Settlement & Bearing Capacity Analysis International Geotechnical Design Standards STAAD. Pro, RISA, or other FEM software (Preferred) VBA or Python (Preferred) Core Competencies Technical Leadership Analytical & Problem-Solving Skills Engineering Design Excellence

Key Responsibilities1. Implementation & Configuration<br>Install, configure, and upgrade App Dynamics Controllers, Agents, and EUM components Implement monitoring for:<br>Java, . NET, Node.js, PHP applications Databases (DB monitoring) Server visibility (SIM) Configure Business Transactions, Health Rules, and Alerts Set up Application Flow Maps and Cross-Tier visibility<br>2. Design & Architecture<br>Design scalable and high-availability App Dynamics architecture Define monitoring strategy aligned with business KPIsOptimize agent deployment strategies (instrumentation approach, overhead reduction) Provide architecture recommendations for on-prem and Saa S deployments<br>3. Performance Monitoring & Optimization<br>Analyze application performance issues using App Dynamics dashboards Identify bottlenecks such as:<br>Slow SQL queries JVM issues (GC, heap memory) API latency<br>Provide tuning recommendations and proactive improvements<br>4. Dashboarding & Reporting<br>Create custom dashboards for business and technical stakeholders Develop reports on performance metrics, SLA adherence, and trends Integrate App Dynamics data with external tools (e.g., Splunk, Service Now, Grafana)<br>5. Integration & Automation<br>Integrate App Dynamics with:<br>CI/CD pipelines (Jenkins, Azure Dev Ops) ITSM tools (Service Now, Jira)<br>Implement API-based automation for onboarding applications Support Dev Ops observability practices<br>6. Troubleshooting & Support<br>Troubleshoot agent and controller issues Support production incidents and root cause analysis (RCA) Provide L2/L3 support and incident resolution<br>7. Documentation & Knowledge Transfer<br>Create implementation guides and runbooks Provide training sessions to internal teams Maintain documentation for configurations and architecture Required Skills & Qualifications Technical Skills<br>Hands-on experience with App Dynamics APM (mandatory) Strong knowledge of:<br>Application architectures (Monolithic, Microservices, Cloud-native) Web technologies (HTTP, REST APIs)<br>Experience with:<br>Java / . NET application monitoring Linux & Windows environments Database basics (SQL, Oracle, MySQL)<br>Understanding of:<br>JVM tuning and thread analysis Performance profiling concepts<br>Tools & Technologies<br>Monitoring: App Dynamics, Dynatrace, New Relic (nice to have) CI/CD: Jenkins, Git Lab, Azure Dev Ops Cloud Platforms: AWS, Azure, GCPScripting: Python, Bash, Power Shell Integrations: Service Now, REST APIs<br>Soft Skills<br>Strong analytical and troubleshooting skills Ability to communicate with both technical and non-technical stakeholders Problem-solving mindset with attention to detail Ability to work independently and in team environments<br>Experience<br>5–8+ years in Application Performance Monitoring / Observability Minimum 2–3 years of hands-on App Dynamics experience Experience in large enterprise environments preferred

About the Client Our client is building an AI-first operating system for a critical, real-world industry, connecting multiple stakeholders into a single intelligent platform.<br>The business is already operating at scale, with thousands of active users and live enterprise deployments across multiple markets, integrating transactional, operational, and inventory data into one ecosystem.<br>They are now entering the next phase of growth:???? Evolving from predictive analytics into agentic AI systems that can autonomously make and execute decisions.<br>The Opportunity This is a senior, hands-on AI leadership role with a clear mandate:Improve core machine learning systems Build intelligent, decision-making AIDrive measurable operational efficiency across the business<br>What You’ll Be Responsible For Owning and evolving the forecasting and optimisation engine Improving machine learning model accuracy across demand and inventory use cases Designing and deploying agentic AI systems that:Reduce manual intervention and inefficiencies Solving complex challenges such as low-frequency / sparse data forecasting Building and scaling production-grade ML systems and pipelines Working with large, multi-source datasets across operational systems Driving AI adoption across multiple business functions Leading a lean, high-impact data science team, while staying hands-on<br>Experience required:7–12+ years in Data Science / Machine Learning (strong hands-on expertise) Proven experience building and improving forecasting models Strong experience with statistical and ML approaches (e.g., regression, tree-based models) Ability to choose and apply the right model to complex, real-world problems Experience deploying ML systems into production environments Strong coding skills (Python, ML frameworks, data pipelines) Experience leading teams while remaining deeply hands-on<br>???? Not suited for:Purely strategic or consulting profiles Candidates without strong ML fundamentals<br>Nice to Have Experience with agentic AI systems or decision automation Exposure to optimisation, reinforcement learning, or advanced ML approaches Background in operations-heavy environments (e.g., logistics, marketplaces, etc.)<br>Why This Role Build AI systems that directly impact real-world operations Work with large-scale, high-quality datasets Own and shape the AI direction of a scaling business High visibility, high ownership, and direct access to leadership Opportunity to solve complex, non-trivial ML challenges