Python Developer Jobs - Riyadh Saudi

<p><h4>Minimum qualifications:</h4> <p><strong>Bachelor's degree in Computer Science or equivalent practical experience.</strong><br> 5 years of experience in project management and technical solution delivery.<br> Experience with architecture, developing, and maintaining technical solutions in virtualization or cloud environments.<br> Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments (e.g., Networking, DevOps/SRE, Security, Compute, Storage, Kubernetes).</p> <h4>Preferred qualifications:</h4> <p>Experience working with channel partners, systems integrators, and third-party developers to deliver successful solutions.<br> Experience with deployment and orchestration technologies (e.g., Docker, Kubernetes, Ansible, etc).<br> Experience in deploying distributed data processing systems in one or more of the following: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, etc.<br> Experience in systems design with an ability to architect or explain complex systems interactions including data flows, common interfaces, APIs, etc.<br> Experience with reading software code in one or more languages (e.g., Java, JavaScript, or Python).<br> Ability to communicate in English and Arabic fluently to support client relationship management in this region.</p></p><p></p>

<p>FEQ427R335 The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule). At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data &amp; Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!</p><p>The impact you will have:</p><ul><li>Form successful relationships with enterprise clients throughout Saudi Arabia, providing technical and business value to Databricks customers in collaboration with Account Executives.</li><li>Operate as an expert in big data analytics to excite customers about Databricks.</li><li>You will develop into a champion and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</li><li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.</li><li>Grow your knowledge and expertise to the level of a technical and/or industry specialist.</li></ul><p>What we look for:</p><ul><li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li><li>Develop customer relationships and build internal partnerships with account executives and teams.</li><li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li><li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li><li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li></ul><p>Mandatory requirements:</p><ul><li>The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule).</li><li>Flexibility to travel (up to 30% as required for customer meetings, events and trainings).</li><li>Business proficiency in both Arabic and English required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li><li>Develop customer relationships and build internal partnerships with account executives and teams.</li><li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li><li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li><li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li><li>The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule).</li><li>Flexibility to travel (up to 30% as required for customer meetings, events and trainings).</li><li>Business proficiency in both Arabic and English required.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><p> </p> <p> </p> <p> <u> <b>Job Description:</b> </u> </p> <p>Parsons is looking for an amazingly talented <b>Senior Specialist Hospitality Digital Systems &amp; Data</b> to join our team! In this role you will get to collaborate with cross-functional teams to gather requirements, maintain system integrity and support automation, translating technical outputs into clear, user-friendly insights to enable effective decision-making. You will also support the rollout and adoption of digital tools through training, documentation and troubleshooting, ensuring systems remain aligned with evolving business requirements.</p> <p> </p> <p> <b>What You'll Be Doing:</b> </p> <ul> <li>Define and support the development of digital platform structures and data models, ensuring systems (e.g. SharePoint, Aconex) are scalable, well-organised and aligned with business and reporting requirements</li> <li>Gather and document business requirements, translating operational needs into system configurations, enhancements and digital solutions</li> <li>Administer and maintain digital systems and data environments, ensuring data is accurate, accessible, governed and aligned with business standards</li> <li>Support reporting and analytics by structuring data, enabling data integration and contributing to dashboards and visualisations (e.g. Power BI)</li> <li>Develop and support automation of data processes and workflows using Microsoft tools and scripting (e.g. Power Automate, Python, SQL)</li> <li>Support the implementation and adoption of digital tools and platforms, ensuring alignment with business processes and effective user engagement</li> <li>Manage document control platforms (e.g. Aconex), ensuring compliance, consistency and effective information management</li> <li>Translate technical outputs into clear, user-friendly formats to support reporting, documentation and communication</li> <li>Collaborate across teams to enable seamless data flow and integration across systems, reporting and project activities</li> <li>Support end-users through training, guidance and troubleshooting, promoting effective use of systems and tools</li> <li>Contribute to continuous improvement of systems, tools and processes to enhance efficiency, automation and data-driven decision-making</li> </ul> <p> </p> <p> <b>What Required Skills You'll Bring:</b> </p> <ul> <li>Bachelor s degree in a relevant discipline (or equivalent experience)</li> <li> <p>Certifications in Microsoft 365, Power Platform or data analytics tools preferred</p> </li> <li>Professional membership or recognised certification preferred (e.g. PMP, PRINCE2, Agile or equivalent)</li> <li> <p>2 5+ years experience in digital systems, data platforms or reporting environments, ideally within project or delivery settings</p> </li> <li>Strong understanding and experience using digital platforms and data systems, including Microsoft 365 suite (e.g. SharePoint, Teams, OneDrive, Power Automate) to support integrated workflows</li> <li>Strong understanding of SharePoint Online, including site structure, permissions, content management and platform configuration</li> <li>Knowledge of Windows Server and IIS for managing SharePoint environments</li> <li>Ability to work with structured and unstructured data, supporting data processing, reporting and analysis</li> <li>Familiarity with automation tools and scripting (e.g. Power Automate, Python, SQL) to support workflow automation and system enhancements</li> <li>Experience supporting document control and project systems with focus on data quality and compliance</li> <li>Proactive and adaptable, able to operate effectively in fast-paced environments</li> <li>Strong written and verbal communication skills in English, translating technical concepts into clear, practical outputs</li> <li>Analytical and problem-solving mindset, identifying issues and driving solutions</li> <li>Collaborative, working effectively across teams and stakeholders</li> <li>Strong attention to detail, ensuring data accuracy and system integrity</li> <li>Well-organised, able to prioritise workload and manage competing demands</li> </ul> <p> <br> <b>What Desired Skills You'll Bring:</b> </p> <ul> <li>Experience supporting digital systems, reporting platforms or data environments in a project or operational setting</li> <li>Experience contributing to dashboards, reporting and data visualisation (e.g. Power BI)</li> <li>Familiarity with project and document management platforms (e.g. Aconex, Microsoft Project, Primavera or similar)</li> <li>Exposure to system enhancements, platform rollouts or digital tool implementations preferred</li> <li>Experience working within project, construction or development environments preferred</li> <li>Key relationships with stakeholders, including: Consultants and Suppliers, Delivery Partners / Project Management Consultants</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p><br></div></section>

<p>We are looking for Business Intelligence Analyst to join our fast paced and self-accountable team that delivers enterprise level products for local and global markets. The Business Intelligence Analyst will design, develop, and maintain BI solutions that transform raw data into meaningful insights to support business decision-making. The role requires hands-on expertise in data visualization tools such as Grafana, Tableau, and Power BI, along with solid experience in data warehousing concepts and ETL processes using tools like Alteryx or similar platforms. The BI Analyst will collaborate with business stakeholders and IT teams to understand data requirements, build analytical dashboards, and deliver actionable intelligence across insurance operations, financial performance, and customer analytics. Let’s develop your future together, where you can design, innovate, and shape modern data ecosystems. Data Visualization & Dashboard Development: • Dashboard Design: Design and develop interactive dashboards and reports using Power BI, Tableau, and/or Grafana tailored to business stakeholder needs. • KPI Monitoring: Build and maintain KPI scorecards, trend analysis, and performance dashboards for executive and operational audiences. • Self-Service BI: Enable self-service analytics by creating reusable data models, templates, and guided analytics for business users. • Visualization Standards: Establish and enforce data visualization best practices, including consistent branding, accessibility, and layout standards. • Report Automation: Automate scheduled reports and alerts to reduce manual reporting overhead. Data Warehousing & Analytics: • Data Warehouse Management: Support the design, development, and maintenance of the enterprise data warehouse (EDW) including dimensional modelling (star/snowflake schemas). • Data Modelling: Create and maintain semantic data models, calculated measures, and hierarchies optimized for analytical consumption. • Query Optimization: Write and optimize complex SQL queries to extract, aggregate, and transform data for reporting and analytics use cases. • Data Governance: Ensure data definitions, lineage, and cataloguing are maintained for all BI assets. • Ad Hoc Analysis: Respond to ad hoc data analysis requests from business teams, delivering insights in a timely and accurate manner. ETL & Data Integration: • ETL Development: Design, build, and maintain ETL/ELT workflows using Alteryx, SSIS, or similar platforms to ingest and transform data from source systems. • Data Pipeline Monitoring: Monitor ETL job execution, handle failures, and ensure data loads complete within defined SLAs. • Source System Integration: Integrate data from core insurance platforms, CRM, financial systems, and external regulatory feeds. • Data Quality Management: Implement data validation rules and quality checks within pipelines to ensure data integrity. • Change Management: Manage impact of source system changes on downstream ETL pipelines and BI reports. Collaboration & Stakeholder Engagement: • Requirements Gathering: Work closely with business owners, finance, operations, and compliance teams to translate analytical requirements into BI solutions. • Documentation: Maintain thorough documentation of data models, dashboard designs, ETL logic, and data dictionaries. • Training & Support: Provide training and ongoing support to business users on BI tools and self-service capabilities.</p><p>• Bachelor's degree in Computer Science, Information Technology, Statistics, Data Science, or a related field, or equivalent work experience • Minimum of 5 years of experience in a Business Intelligence, Data Analytics, or related role • Proven hands-on experience developing dashboards and reports in Power BI, Tableau, or Grafana • Solid experience designing and developing ETL workflows using Alteryx, SSIS, or similar tools • Demonstrated experience working with data warehouses, dimensional models, and large datasets • Strong SQL skills with experience writing complex queries for data extraction and transformation • Experience in the insurance, financial services, or a regulated industry is highly preferred • Familiarity with Saudi regulatory reporting requirements (SAMA, ZATCA) is an advantage • Certifications (preferred): Microsoft Certified: Data Analyst Associate (Power BI), Tableau Desktop Specialist/Certified Associate, Alteryx Designer Core/Advanced, or equivalent BI/analytics certification, OCI Certification Technical Requirements: • Data Visualization Tools: Power BI (Desktop, Service, Embedded), Tableau (Desktop, Server), Grafana, or equivalent BI platforms • ETL / Data Integration Tools: Alteryx Designer, SSIS (SQL Server Integration Services), Azure Data Factory, Informatica, or similar • Data Warehousing: Dimensional modelling, star/snowflake schemas, Azure Synapse Analytics, AWS Redshift, Snowflake, Oracle Data Warehouse Cloud Services, or on-premises DWH platforms • Query Languages: Advanced SQL (T-SQL, PL/SQL), DAX (Power BI), MDX, and familiarity with Python or R for data analysis • Databases: SQL Server, Oracle, PostgreSQL, or equivalent RDBMS, No SQL, document base, and schemeless DBs • Cloud Platforms (preferred): OCI, Microsoft Azure (Azure Data Factory, Synapse, Azure Analysis Services), AWS, or Google Cloud • Scripting & Automation: PowerShell, Python, or Bash for task automation and data pipeline scripting • Version Control: Git-based version control for BI assets and ETL scripts</p>

<p>We are looking for Business Intelligence Analyst to join our fast paced and self-accountable team that delivers enterprise level products for local and global markets. The Business Intelligence Analyst will design, develop, and maintain BI solutions that transform raw data into meaningful insights to support business decision-making. The role requires hands-on expertise in data visualization tools such as Grafana, Tableau, and Power BI, along with solid experience in data warehousing concepts and ETL processes using tools like Alteryx or similar platforms. The BI Analyst will collaborate with business stakeholders and IT teams to understand data requirements, build analytical dashboards, and deliver actionable intelligence across insurance operations, financial performance, and customer analytics. Let’s develop your future together, where you can design, innovate, and shape modern data ecosystems. Data Visualization & Dashboard Development: • Dashboard Design: Design and develop interactive dashboards and reports using Power BI, Tableau, and/or Grafana tailored to business stakeholder needs. • KPI Monitoring: Build and maintain KPI scorecards, trend analysis, and performance dashboards for executive and operational audiences. • Self-Service BI: Enable self-service analytics by creating reusable data models, templates, and guided analytics for business users. • Visualization Standards: Establish and enforce data visualization best practices, including consistent branding, accessibility, and layout standards. • Report Automation: Automate scheduled reports and alerts to reduce manual reporting overhead. Data Warehousing & Analytics: • Data Warehouse Management: Support the design, development, and maintenance of the enterprise data warehouse (EDW) including dimensional modelling (star/snowflake schemas). • Data Modelling: Create and maintain semantic data models, calculated measures, and hierarchies optimized for analytical consumption. • Query Optimization: Write and optimize complex SQL queries to extract, aggregate, and transform data for reporting and analytics use cases. • Data Governance: Ensure data definitions, lineage, and cataloguing are maintained for all BI assets. • Ad Hoc Analysis: Respond to ad hoc data analysis requests from business teams, delivering insights in a timely and accurate manner. ETL & Data Integration: • ETL Development: Design, build, and maintain ETL/ELT workflows using Alteryx, SSIS, or similar platforms to ingest and transform data from source systems. • Data Pipeline Monitoring: Monitor ETL job execution, handle failures, and ensure data loads complete within defined SLAs. • Source System Integration: Integrate data from core insurance platforms, CRM, financial systems, and external regulatory feeds. • Data Quality Management: Implement data validation rules and quality checks within pipelines to ensure data integrity. • Change Management: Manage impact of source system changes on downstream ETL pipelines and BI reports. Collaboration & Stakeholder Engagement: • Requirements Gathering: Work closely with business owners, finance, operations, and compliance teams to translate analytical requirements into BI solutions. • Documentation: Maintain thorough documentation of data models, dashboard designs, ETL logic, and data dictionaries. • Training & Support: Provide training and ongoing support to business users on BI tools and self-service capabilities.</p><p>• Bachelor's degree in Computer Science, Information Technology, Statistics, Data Science, or a related field, or equivalent work experience • Minimum of 5 years of experience in a Business Intelligence, Data Analytics, or related role • Proven hands-on experience developing dashboards and reports in Power BI, Tableau, or Grafana • Solid experience designing and developing ETL workflows using Alteryx, SSIS, or similar tools • Demonstrated experience working with data warehouses, dimensional models, and large datasets • Strong SQL skills with experience writing complex queries for data extraction and transformation • Experience in the insurance, financial services, or a regulated industry is highly preferred • Familiarity with Saudi regulatory reporting requirements (SAMA, ZATCA) is an advantage • Certifications (preferred): Microsoft Certified: Data Analyst Associate (Power BI), Tableau Desktop Specialist/Certified Associate, Alteryx Designer Core/Advanced, or equivalent BI/analytics certification, OCI Certification Technical Requirements: • Data Visualization Tools: Power BI (Desktop, Service, Embedded), Tableau (Desktop, Server), Grafana, or equivalent BI platforms • ETL / Data Integration Tools: Alteryx Designer, SSIS (SQL Server Integration Services), Azure Data Factory, Informatica, or similar • Data Warehousing: Dimensional modelling, star/snowflake schemas, Azure Synapse Analytics, AWS Redshift, Snowflake, Oracle Data Warehouse Cloud Services, or on-premises DWH platforms • Query Languages: Advanced SQL (T-SQL, PL/SQL), DAX (Power BI), MDX, and familiarity with Python or R for data analysis • Databases: SQL Server, Oracle, PostgreSQL, or equivalent RDBMS, No SQL, document base, and schemeless DBs • Cloud Platforms (preferred): OCI, Microsoft Azure (Azure Data Factory, Synapse, Azure Analysis Services), AWS, or Google Cloud • Scripting & Automation: PowerShell, Python, or Bash for task automation and data pipeline scripting • Version Control: Git-based version control for BI assets and ETL scripts</p>

<p>LLM Solution Design & Development Architect and deliver production-ready LLM applications — conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking. <br>Build multi-agent systems using LangGraph, AutoGen, or CrewAI; apply prompt engineering techniques to optimise model performance. <br>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures. Model Fine-Tuning & Optimisation <br>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models (OpenAI, Mistral, LLaMA, Gemini) for specific use cases. </p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 3-5 years of hands-on experience in developing AI models and applications, demonstrating a proven track record in the field.</li><li>Relevant certifications such as TensorFlow Developer, AWS Certified Machine Learning, or similar qualifications that validate expertise.</li><li>Proficiency in programming languages like Python and R, alongside familiarity with AI frameworks such as TensorFlow or PyTorch.</li><li>Experience with cloud platforms such as AWS, Google Cloud, or Azure, ensuring scalability and efficiency in AI solutions.</li><li>A proactive mindset and adaptability to thrive in fast-paced environments, eager to learn and implement new AI strategies.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Manage and support Linux servers, Kubernetes clusters, and containerized workloads.</p></li><li><p>Administer and optimize GCP resources and cloud services.</p></li><li><p>Support platform services including Elasticsearch, Redis, RabbitMQ, and associated components.</p></li><li><p>Monitor platform health, integrations, logs, alerts, and overall system performance.</p></li><li><p>Handle critical incidents, escalations, troubleshooting, and root cause analysis (RCA).</p></li><li><p>Support deployments, upgrades, configuration changes, and platform enhancements.</p></li><li><p>Monitor integration health and proactively resolve issues and anomalies.</p></li><li><p>Coordinate with internal cloud, infrastructure, and engineering teams.</p></li><li><p>Maintain operational documentation, SOPs, and technical records.</p></li><li><p>Support automation initiatives and continuous service improvements.</p></li><li><p>Ensure platform availability, reliability, scalability, and operational efficiency.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of experience in platform engineering, cloud operations, system administration, or DevOps environments.</p></li><li><p>Strong experience with Linux, Kubernetes (GKE), and Google Cloud Platform (GCP).</p></li><li><p>Experience supporting high-availability production environments, platform services, and integrations.</p></li><li><p>Exposure to monitoring, observability, automation, and incident management processes.</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>Skills</strong></p><ul><li><p>Linux (Ubuntu), Bash/Python</p></li><li><p>Kubernetes (GKE), Docker</p></li><li><p>Google Cloud Platform (Compute, IAM, Networking)</p></li><li><p>ELK Stack (Elasticsearch, Logging)</p></li><li><p>Redis, RabbitMQ</p></li><li><p>REST &amp; GraphQL APIs</p></li><li><p>Prometheus, Grafana, Loki</p></li><li><p>YAML, Git</p></li><li><p>Ticketing tools (Jira/ServiceNow)</p></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 Data Scientist to join our dynamic team in Saudi Arabia. In this role, you will be at the forefront of leveraging data to drive business insights and strategic decisions that shape the future of organizations across the Kingdom. You will work with complex datasets, build predictive models, and foster a culture of data-driven decision-making to optimize business processes and deliver measurable impact.</p><p>The purpose of this role is to harness the power of data to generate actionable insights, build and deploy predictive models, improve data quality and governance, and drive a data-driven decision-making culture that optimizes business processes and supports strategic organizational goals in Saudi Arabia.</p><p>Deliver actionable insights from complex datasets</p><p>Build and deploy predictive models</p><p>Improve data quality and governance</p><p>Drive data-driven decision-making culture</p><p>Optimize business processes through analytics</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Python</li><li>R</li><li>SQL</li><li>Machine Learning</li><li>Statistical Modeling</li><li>Data Visualization (Tableau, Power BI)</li><li>Big Data Tools (Spark, Hadoop)</li><li>Cloud Platforms (AWS, Azure, GCP)</li><li>Analytical Thinking</li><li>Problem Solving</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 Data Scientist to join our dynamic team. In this role, you will leverage statistical analysis, machine learning, and data engineering to extract actionable insights from complex datasets, driving data-informed business decisions and product improvements. If you are passionate about turning raw data into strategic value and thrive in a collaborative, fast-paced environment, we want to hear from you.</p><p>The purpose of this role is to harness advanced analytics, machine learning, and data engineering techniques to transform complex datasets into actionable insights, enabling data-driven business decisions and measurable product improvements.</p><p>Build and deploy predictive models</p><p>Deliver actionable data insights monthly</p><p>Improve key business metrics by 15%</p><p>Automate data pipelines and reporting</p><p>Reduce data processing latency by 30%</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><h3>Required Qualifications</h3><ul><li>Python</li><li>SQL</li><li>Machine Learning (scikit-learn, TensorFlow, PyTorch)</li><li>Statistical Analysis</li><li>Data Visualization (Tableau, Power BI, Matplotlib)</li><li>Big Data Tools (Spark, Hadoop)</li><li>Cloud Platforms (AWS, GCP, Azure)</li><li>A/B Testing &amp; Experimentation</li><li>Critical Thinking</li><li>Problem Solving</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Job Summary</strong> </p> <p>We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.</p> <p> </p> <p> <strong>Key Responsibilities</strong> </p> <p>- Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</p> <p>- Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</p> <p>- Develop intelligent assistants, chatbots, and knowledge management solutions.</p> <p>- Integrate AI services with banking applications and APIs.</p> <p>- Fine-tune, evaluate, and optimize LLM performance.</p> <p>- Ensure compliance with banking security, governance, and regulatory requirements.</p> <p>- Collaborate with business, data, and technology teams to deliver AI-driven solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>- 4+ years of software engineering experience.</p> <p>- Strong Python programming skills.</p> <p>- Experience with LLMs, Generative AI, and Prompt Engineering.</p> <p>- Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</p> <p>- Familiarity with machine learning frameworks and AI deployment practices.</p> <p>- Experience with cloud platforms (AWS, Azure, GCP) is preferred.</p> <p> </p> <p> <strong>Preferred Qualifications</strong> </p> <p>- Banking or Financial Services experience.</p> <p>- Experience developing AI copilots or customer-facing AI solutions.</p> <p>- Knowledge of AI governance and responsible AI practices.</p><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Sutherland is seeking a <strong style="font-weight:700;">Network Operations Center Engineer</strong> to join our team in Riyadh. This full-time role is critical for ensuring the stability of satellite connectivity across signaling, routing, SIM provisioning, OSS integrations, and core network interactions. The NOC Engineer will be responsible for 24/7 operational continuity and rapid incident response, reporting to the Service Assurance Manager. This position requires 2-5 years of relevant experience.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Monitor signaling pathways, routing behavior, SIM flows, OSS hooks, and cross-core interactions impacting satellite service.</li> <li style="margin:0 0 6px;">Detect, acknowledge, and triage alarms from monitoring platforms, ensuring rapid response and detailed logging, and escalating anomalies based on severity and impact.</li> <li style="margin:0 0 6px;">Validate routing tables, signaling transactions, and core network behavior during faults or degradation events.</li> <li style="margin:0 0 6px;">Diagnose issues across gateway, core, OSS, and cross-domain integrations affecting service connectivity, performing detailed event analysis and supporting root cause investigations.</li> <li style="margin:0 0 6px;">Serve as the operational interface with partner NOCs for incident handling, alarm correlation, and workflow alignment.</li> <li style="margin:0 0 6px;">Coordinate multi-party triage calls, share logs and findings, and ensure timely tracking and closure of partner-linked issues.</li> <li style="margin:0 0 6px;">Ensure signaling and routing flows remain compliant across commercial and beta grade service classes.</li> <li style="margin:0 0 6px;">Perform periodic checks on SIM provisioning paths, authentication flows, and connectivity stability.</li> <li style="margin:0 0 6px;">Contribute to playbooks, SOPs, and troubleshooting guides for core/gateway/OSS interactions.</li> <li style="margin:0 0 6px;">Support readiness for new services, partner integrations, and routing changes by conducting pre-launch validation tests.</li> <li style="margin:0 0 6px;">Maintain accurate logs, incident records, and ticket updates, providing shift handover summaries and incident reports.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Education:</strong> Bachelor’s degree in Telecommunications, Computer Science, Electronics, or a related technical field. Certifications in networking (CCNA, CCNP, JNCIA, JNCIS) or telecom operations are advantageous.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Experience:</strong> 2–5 years in NOC operations, telecom monitoring, satellite operations, or core network support. This includes experience working with signaling flows, routing tables, authentication paths, or mobile core elements, and hands-on exposure to multi-vendor NOC operations, incident workflows, and partner escalations.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Expertise and Professional Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Technical Expertise:</strong> Strong understanding of signaling (*, Diameter, SIP, NAS), routing fundamentals, and core network behavior. Knowledge of telecom connectivity flows (SIM activation, attach procedures, mobility, authentication). Experience analyzing logs, traces, routing tables, and event correlations across network elements. Familiarity with OSS/NMS tools, alarms, KPIs, dashboards, and monitoring platforms. Basic understanding of satellite network components, gateways, or hybrid RAN core flows is a plus. Hands-on experience with Linux, basic scripting (Python/Bash), and troubleshooting tools.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Professional Skills:</strong> Strong analytical skills and ability to diagnose issues under time pressure. Excellent communication for coordination with internal teams and partner NOCs. High attention to detail with disciplined documentation and tracking. Adaptability to shift-based schedules and fast-paced incident environments. Team-oriented mindset with strong ownership of incident resolution and service quality.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technology Proficiency</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">NOC and OSS/NMS Tools:</strong> Zabbix, Grafana, Prometheus, Datadog, SolarWinds, or similar.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Logging and Packet Analysis:</strong> Elastic, Splunk, Kibana, Wireshark.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Ticketing/ITSM Tools:</strong> ServiceNow, Jira, Remedy.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Scripting:</strong> Python, Bash.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">General:</strong> Strong working knowledge of Excel, dashboards, and documentation tools.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Deliverables</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Work Environment:</strong> Ability to work in a shift-based NOC environment, including nights or weekends based on rotation. Requires attentiveness during extended monitoring sessions and incident bridges. Occasional travel for training, partner coordination, or operational readiness activities may be required.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Key Deliverables:</strong> Real-time monitoring logs, incident tickets, and alarm responses. Routing validation reports, signaling analysis outputs, and incident triage documentation. Shift handover summaries and partner coordination records. RCA inputs and recurring issue tracking reports. Updated SOPs, playbooks, troubleshooting guides, and operational runbooks. Service quality dashboards and periodic operational health summaries.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">If you meet the above qualifications and are ready to contribute to a dynamic operational environment, we encourage you to apply.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Who We Are COGNNA is shaping the future of cybersecurity through innovation, intelligence, and a relentless drive to protect. Our platforms integrate cutting-edge AI, real-time threat detection, and deep security insights to help organizations proactively defend against evolving cyber threats. Responsibilities Own end-to-end forensic investigations across endpoints, cloud platforms, and network infrastructure from initial triage to root cause, including IoC identification, data exfiltration, and unauthorized access Coordinate and lead the DFIR team across active investigations, ensuring consistent methodology, evidence integrity, and investigative velocity Pull and analyze logs from EDR/XDR, SIEM, DLP, IdP, and email gateway platforms to reconstruct precise attack and user activity timelines Acquire forensic images from laptops, mobile devices, servers, and cloud repositories with full chain of custody Go deep on artifacts file systems, memory, registry, logs, config states to reconstruct exactly what happened and when Correlate endpoint, network, and identity telemetry into a coherent picture of attacker behavior and system access Build AI-assisted workflows that automate evidence collection, pattern detection, and timeline generation to scale investigative capacity Translate technical findings into clear, chronological narratives for executives and cross-functional stakeholders no jargon, no ambiguity Close the loop: feed investigation outcomes back into detection rules, access controls, and policy improvements. Education Bachelor s in Cybersecurity, International Relations, Computer Science, or related field. Experience 3+ years in digital forensics, incident response, or security investigations, with a track record leading or coordinating DFIR engagements Exceptional written and verbal communication in both English &amp; Arabic. Hands-on proficiency with forensic tooling: FTK, X-Ways, Cellebrite, Axiom, or equivalent platforms Strong command of network protocols (TCP/IP, HTTP/S, DNS) and log analysis across SIEM platforms Scripting ability in Python, PowerShell, or Bash used to automate evidence processing, not just theoretically Deep working knowledge of Windows, macOS, and Linux/Unix environments at the artifact and system level Proven experience integrating AI tools into investigative workflows to accelerate triage, pattern detection, or reporting Clear, confident communicator able to brief executives and work alongside legal, HR, and compliance teams without losing technical precision Compliance: Ensuring all operations align with NCA ECC and SAMA CSF regulations. Certifications (Highly Preferred) SANS / GIAC (GCFA, GCFE, GNFA, GCIA or similar) IACIS CFCE EC-Council CHFI Offsec (OSDA, OSIR) Impact that Matters Build products that shape the future of cybersecurity and protect organizations globally. On-Site Collaboration Be at the heart of innovation in our Riyadh office, working side by side with passionate experts. Continuous Growth Access to certifications, trainings, and opportunities to sharpen your expertise. Ownership Mindset Benefit from our ESOP program and grow with COGNNA s success. Culture of Trust We empower talent, encourage ownership, and celebrate real outcomes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Bachelor s in Cybersecurity, International Relations, Computer Science, or related field. Experience 3+ years in digital forensics, incident response, or security investigations, with a track record leading or coordinating DFIR engagements Exceptional written and verbal communication in both English &amp; Arabic. Hands-on proficiency with forensic tooling: FTK, X-Ways, Cellebrite, Axiom, or equivalent platforms Strong command of network protocols (TCP/IP, HTTP/S, DNS) and log analysis across SIEM platforms Scripting ability in Python, PowerShell, or Bash used to automate evidence processing, not just theoretically Deep working knowledge of Windows, macOS, and Linux/Unix environments at the artifact and system level Proven experience integrating AI tools into investigative workflows to accelerate triage, pattern detection, or reporting Clear, confident communicator able to brief executives and work alongside legal, HR, and compliance teams without losing technical precision Compliance: Ensuring all operations align with NCA ECC and SAMA CSF regulations. Certifications (Highly Preferred) SANS / GIAC (GCFA, GCFE, GNFA, GCIA or similar) IACIS CFCE EC-Council CHFI Offsec (OSDA, OSIR)</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.</p><p>Position Overview As a mid-level GIS Specialist, you will manage Geographic Information Systems (GIS) to support the planning, design, construction, and handover of Qiddiya s assets. Using ESRI-based platforms, you will deliver geospatial insights for Districts, Zones, and Precincts, ensuring data integration and compliance with project standards. This role requires collaboration with multidisciplinary teams, adherence to Client systems (e.g., ESRI GIS, Aconex), and a commitment to Saudization requirements. On-site work in Qiddiya or relocation is expected.</p><p>Key Responsibilities</p><p>GIS Management: Operate and manage the ESRI GIS platform, implementing policies, templates, and procedures for geospatial data standardization.</p><p>Data Integration: Review and integrate consultant/contractor GIS submittals into the Client s GIS platform, ensuring compliance and interoperability with BIM and CAD.</p><p>Spatial Analysis: Conduct spatial analyses (e.g., modeling, geostatistics) and create maps/dashboards using ArcGIS Online/Enterprise to support decision-making.</p><p>Quality Assurance: Validate GIS data accuracy, maintain metadata, and document workflows in Aconex, aligning with Qiddiya s standards.</p><p>Collaboration: Coordinate with delivery partners, design consultants, and stakeholders (e.g., Saudi Heritage Commission) for GIS-related permitting and interface management.</p><p>Project Support: Provide GIS deliverables for master planning, regulatory approvals (e.g., CSP), and handover, supporting the Integrated Master Programme.</p><p>System Alignment: Align GIS workflows with other delivery partners systems, proposing enhancements to tools like Fuzor or Autodesk Vault as needed.</p><p>Mentorship: Guide GIS technicians and train Client staff/contractors on GIS best practices.</p><p>Education and Experience</p><p>Education: Bachelor s Degree in GIS, Geography, Urban Planning, Civil Engineering, or related field.</p><p>Experience: 5+ years of GIS experience, ideally in urban development or mega-projects.</p><p>Preferred: Expertise in ESRI platforms (ArcGIS Pro, Online, Enterprise), BIM/CAD integration, and GCC project experience.</p><p>Skills and Competencies</p><p>Technical: Proficient in ESRI GIS, Python/JavaScript/SQL for automation, and database management (e.g., PostgreSQL). Skilled in cartography, spatial data formats, and BIM/CAD integration.</p><p>Analytical: Advanced spatial analysis and visualization for complex project needs.</p><p>Communication: Strong English skills (Arabic a plus) to convey technical data to stakeholders.</p><p>Problem-Solving: Independent troubleshooting of GIS data/software issues.</p><p>Project Management: Organized to meet deadlines and document in Aconex.</p><p>Collaboration: Team-oriented, aligning with Client IT/governance policies.</p><p>Software: Proficient in Microsoft Office and Aconex.</p><p>Saudization Requirements</p><p>Nationality: Saudi national with valid GOSI Certification and Government ID.</p><p>Group: Group B (professionals, degree/certified specialists).</p><p>Why Join SAPL? Contribute to Qiddiya, a Vision 2030 landmark. Grow with a global leader using cutting-edge GIS tools. Shape Saudi Arabia s future as a Saudi national.</p><p>Additional Requirements</p><p>Location: On-site in Qiddiya or willingness to relocate.</p><p>Language: Fluent in English; Arabic preferred.</p><p>Systems: Use ESRI GIS, Aconex, Primavera P6 per Client IT policies.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in GIS, Geography, Urban Planning, Civil Engineering, or related field.</li><li>5+ years of GIS experience, ideally in urban development or mega-projects.</li><li>Expertise in ESRI platforms (ArcGIS Pro, Online, Enterprise), BIM/CAD integration, and GCC project experience.</li><li>Proficient in ESRI GIS, Python/JavaScript/SQL for automation, and database management (e.g., PostgreSQL).</li><li>Skilled in cartography, spatial data formats, and BIM/CAD integration.</li><li>Advanced spatial analysis and visualization for complex project needs.</li><li>Strong English skills (Arabic a plus) to convey technical data to stakeholders.</li><li>Independent troubleshooting of GIS data/software issues.</li><li>Organized to meet deadlines and document in Aconex.</li><li>Team-oriented, aligning with Client IT/governance policies.</li><li>Proficient in Microsoft Office and Aconex.</li><li>Saudi national with valid GOSI Certification and Government ID.</li><li>Group B (professionals, degree/certified specialists).</li><li>On-site in Qiddiya or willingness to relocate.</li><li>Fluent in English; Arabic preferred.</li><li>Use ESRI GIS, Aconex, Primavera P6 per Client IT policies.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: The Senior Marketing Intelligence Officer will lead our marketing data strategy by designing dashboards, producing insights, and enabling data-driven decisions. You ll work cross-functionally with Performance, CRM, BI, and Regional Marketing teams to connect marketing activities to measurable business impact.</p><p>Key Responsibilities:</p><ul><li>Build, manage, and continuously improve real-time dashboards that track all core marketing KPIs across markets.</li><li>Develop automated reporting frameworks to streamline performance updates for leadership, regional, and cross-functional teams.</li><li>Forecast user growth, revenue impact, and campaign performance using historical trends and predictive models.</li><li>Conduct brand health tracking, including awareness, consideration, NPS, and perception metrics across multiple regions.</li><li>Lead primary research initiatives such as consumer surveys, focus groups, and sentiment analysis to inform strategic decisions.</li><li>Compile secondary research and market intelligence from credible external sources to support positioning and expansion efforts.</li><li>Collaborate with regional marketing leads to analyze country-specific campaign outcomes and localize optimization strategies.</li><li>Design and own the marketing measurement framework that ties media investment to business outcomes.</li><li>Work closely with CRM and Lifecycle Marketing to track funnel conversion rates, churn, reactivation, and LTV by cohort.</li><li>Support performance marketing with audience segmentation, behavioral analytics, and channel attribution insights.</li><li>Monitor competitor campaigns, pricing strategies, share-of-voice, and digital presence through benchmark reports.</li><li>Serve as the marketing team s point of contact with BI, Finance, and Product teams for unified data interpretation.</li><li>Develop periodic business reviews, board-level summaries, and executive insights reports on marketing impact.</li><li>Introduce statistical methodologies (e.g. regression, cluster analysis, factor analysis) to deepen analytical methodology.</li><li>Provide internal training and documentation to scale data literacy and insight-driven thinking across the marketing department.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5 7 years of experience in marketing analytics, business intelligence, or data science roles.</li><li>Strong experience building dashboards using tools such as Looker Studio, Tableau, Power BI, or similar.</li><li>Solid understanding of marketing KPIs and their connection to business outcomes.</li><li>Proficiency in SQL, Excel, and at least one statistical tool (e.g., Python, R, SPSS).</li><li>Familiarity with marketing platforms (Google Ads, Meta, CRM tools) and their data structures.</li><li>Proven track record in applying forecasting and predictive modeling techniques.</li><li>Experience with primary and secondary research, including brand tracking and consumer insights.</li><li>Exceptional storytelling and communication skills, including executive reporting.</li><li>Ability to work cross-functionally with marketing, BI, product, and finance teams.</li><li>Fluent in English; Arabic is a plus.</li><li>Bachelor s or Master s degree in Marketing Analytics, Statistics, Data Science, or a related field.</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 skilled Data Administrator to manage, maintain, and optimize enterprise data platforms, ensuring high availability, performance, security, and data integrity. The ideal candidate will have experience administering relational databases, in-memory data stores, and modern data analytics or AI platforms while supporting data governance, backup and recovery, and performance optimization initiatives.</p><p>Key Responsibilities</p><ul><li>Administer, monitor, and maintain enterprise databases and data platforms.</li><li>Ensure database availability, security, performance, and reliability.</li><li>Perform database installation, configuration, upgrades, patching, and migrations.</li><li>Implement backup, recovery, disaster recovery, and high-availability strategies.</li><li>Monitor database health, troubleshoot issues, and optimize system performance.</li><li>Collaborate with application developers, data engineers, and infrastructure teams.</li><li>Support data governance, data quality, and compliance initiatives.</li><li>Maintain technical documentation, operational procedures, and system configurations.</li><li>Participate in capacity planning and implementation of new data technologies.</li></ul><p>Must Have Skills</p><ul><li>Experience with PostgreSQL OR Microsoft SQL Server OR MySQL OR Oracle Database .</li><li>Experience with Redis OR Memcached OR Apache Ignite for in-memory data management and caching.</li><li>Experience with Dataiku DSS OR Vertex AI OR Azure Machine Learning OR Amazon SageMaker OR Databricks .</li><li>Database Administration AND Performance Tuning AND Backup &amp; Recovery AND High Availability AND Disaster Recovery .</li><li>Database Security AND User Access Management AND Data Integrity AND Capacity Planning .</li><li>SQL AND Database Monitoring AND Query Optimization .</li><li>Experience with Linux OR Windows Server administration.</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket .</li><li>Strong analytical, troubleshooting, documentation, and problem-solving skills.</li></ul><p>Good to Have Skills</p><ul><li>Experience with Docker OR Kubernetes .</li><li>Knowledge of cloud platforms AWS OR Azure OR Google Cloud Platform (GCP) .</li><li>Familiarity with ETL OR ELT tools such as Informatica OR Talend OR Apache NiFi OR SSIS .</li><li>Experience with monitoring tools Prometheus OR Grafana OR Zabbix OR Nagios .</li><li>Knowledge of scripting using Python OR Bash OR PowerShell .</li><li>Understanding of Data Governance AND Data Quality AND Master Data Management (MDM) .</li><li>Familiarity with CI/CD AND DevOps practices.</li><li>Experience supporting analytics, reporting, or AI/ML workloads.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.</li><li>3 11 years of experience in database administration or data platform administration.</li><li>Experience managing production database environments with high availability and performance requirements.</li><li>Relevant certifications in PostgreSQL, Microsoft SQL Server, cloud platforms, or database technologies are a plus.</li><li>Excellent communication, collaboration, and stakeholder management skills.</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 detail-oriented Quality Assurance (QA) Engineer to ensure the quality, reliability, and performance of software applications through comprehensive testing strategies. The ideal candidate will have experience in manual and automated testing, test planning, defect management, and test reporting while collaborating closely with developers, business analysts, and product teams.</p><p>Key Responsibilities</p><ul><li>Design, develop, execute, and maintain test plans, test cases, and test scripts.</li><li>Perform functional, integration, regression, performance, and automation testing.</li><li>Identify, document, track, and verify software defects throughout the testing lifecycle.</li><li>Collaborate with developers, business analysts, and product owners to validate business and technical requirements.</li><li>Develop and maintain automated test suites to improve testing efficiency.</li><li>Participate in sprint planning, requirement reviews, and release validation activities.</li><li>Prepare test reports, quality metrics, and release readiness documentation.</li><li>Support User Acceptance Testing (UAT) and production validation as required.</li><li>Continuously improve QA processes, automation coverage, and testing standards.</li></ul><p>Must Have Skills</p><ul><li>Experience with Allure OR qTest OR TestMo for test management and reporting.</li><li>Experience with Selenium OR Cypress OR Playwright OR Appium for test automation.</li><li>Hands-on experience in Functional Testing AND Integration Testing AND Regression Testing AND Performance Testing AND Automation Testing .</li><li>Experience creating Test Plans AND Test Cases AND Test Scenarios AND Test Execution Reports .</li><li>Defect Tracking AND Bug Reporting using Jira OR Azure DevOps OR Bugzilla .</li><li>Knowledge of REST APIs AND API Testing using Postman OR SoapUI .</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket .</li><li>Understanding of SDLC AND STLC AND Agile OR Scrum methodologies.</li><li>Strong analytical, troubleshooting, and communication skills.</li></ul><p>Good to Have Skills</p><ul><li>Performance testing using JMeter OR LoadRunner OR Gatling .</li><li>Programming or scripting knowledge in Java OR Python OR JavaScript OR C# .</li><li>CI/CD tools such as Jenkins OR GitHub Actions OR GitLab CI OR Azure DevOps Pipelines .</li><li>Database validation using SQL OR PostgreSQL OR MySQL OR Oracle SQL Server .</li><li>Experience testing Web Applications AND Mobile Applications AND RESTful APIs .</li><li>Knowledge of Docker OR Kubernetes and cloud environments ( AWS OR Azure OR Google Cloud Platform (GCP) ).</li><li>Experience with Behavior-Driven Development ( Cucumber OR SpecFlow ).</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. 3 11 years of experience in software quality assurance and testing. Experience working in Agile development environments. ISTQB Foundation OR Advanced certification is a plus. Strong attention to detail, problem-solving abilities, and a commitment to delivering high-quality software.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Purpose The Senior Infrastructure &amp; Multi-Cloud Automation / IaC Engineer will lead infrastructure automation across private cloud, OCI, GCP, SIT, virtualization, and systems operations. The role focuses on standardizing infrastructure provisioning, improving cloud asset inventory, eliminating orphaned resources, reducing manual operational effort, and enabling scalable multi-cloud operations through Infrastructure-as-Code and automation. This is not primarily an application DevOps role. DevOps knowledge is useful, but the main focus is infrastructure automation, operational control, cloud hygiene, lifecycle governance, and managed operations efficiency.</p><p>Key Responsibilities</p><ul><li>Infrastructure &amp; Multi-Cloud Automation<ul><li>Design and implement Infrastructure-as-Code templates for OCI, GCP, SIT, private cloud, VMware/VCF, and systems environments.</li><li>Automate infrastructure provisioning across cloud, virtualization, and systems platforms.</li><li>Build reusable automation templates for compute, network, IAM, storage integration, monitoring onboarding, and backup onboarding.</li><li>Standardize automation patterns using Terraform, Ansible, scripts, and platform-native tools.</li><li>Reduce manual provisioning and repetitive operational tasks across infrastructure towers.</li><li>Support automation for VM lifecycle, cloud resource provisioning, patching workflows, and operational handovers.</li><li>Support limited CI/CD or pipeline usage only where required for infrastructure automation workflows.</li></ul></li><li>Cloud Asset Management &amp; Inventory<ul><li>Own cloud infrastructure asset management automation across OCI, GCP, SIT, and private cloud environments.</li><li>Maintain automated cloud inventory and resource discovery workflows.</li><li>Identify orphaned, unused, unattached, or underutilized cloud resources.</li><li>Automate reporting and controlled cleanup workflows for orphaned objects, subject to approval and change control.</li><li>Implement tagging standards for ownership, environment, cost center, service, criticality, lifecycle status, and business owner.</li><li>Support cloud resource lifecycle management from provisioning to decommissioning.</li><li>Integrate cloud asset data with CMDB / ServiceNow where applicable.</li><li>Generate regular cloud inventory, utilization, hygiene, and optimization reports.</li><li>Support FinOps reporting by identifying waste, idle resources, and optimization opportunities.</li><li>Ensure automation templates enforce standard naming, tagging, and governance policies.</li></ul></li><li>Governance, Documentation &amp; Operational Integration<ul><li>Define automation standards, reusable templates, coding practices, and operational runbooks.</li><li>Support integration between automation workflows, ITSM, monitoring, and operational processes.</li><li>Work with Storage, Backup, Virtualization, Cloud, and Systems towers to identify automation opportunities.</li><li>Review and approve automation code, scripts, and templates.</li><li>Guide junior automation engineers and tower engineers on automation practices.</li><li>Ensure automation activities follow change management and approval processes.</li><li>Maintain version-controlled repositories for infrastructure automation assets.</li></ul></li></ul><p>7+ years of experience in infrastructure, cloud, virtualization, systems, or automation roles.</p><p>Strong hands-on experience with Terraform and Ansible.</p><p>Experience automating infrastructure across at least two of the following: OCI, GCP, VMware/VCF, private cloud, Windows, Linux.</p><p>Strong understanding of infrastructure operations, provisioning, patching, monitoring, lifecycle management, and operational governance.</p><p>Experience with cloud landing zones, IAM, networking, compute, storage, and monitoring automation.</p><p>Experience in cloud asset inventory, tagging governance, and resource lifecycle management.</p><p>Experience identifying orphaned cloud resources such as unused disks, unattached IPs, idle VMs, orphan snapshots, unused buckets, stale accounts/projects, and unused network objects.</p><p>Good scripting skills using Python, PowerShell, Bash, or similar.</p><p>Familiarity with Git and version control for automation templates.</p><p>Understanding of ITSM, ServiceNow, change management, and operational approval workflows.</p><p>Ability to design reusable automation frameworks, not only standalone scripts.</p><p>Preferred Experience</p><ul><li>Multi-cloud automation experience.</li><li>VMware / VCF automation exposure.</li><li>OpenShift or Kubernetes infrastructure automation exposure.</li><li>ServiceNow workflow or CMDB integration experience.</li><li>Basic FinOps awareness.</li><li>Basic CI/CD awareness for managing infrastructure automation pipelines, not application delivery.</li></ul><p>Preferred Certifications</p><ul><li>HashiCorp Terraform Associate.</li><li>Red Hat Ansible certification.</li><li>Google Cloud certification.</li><li>Oracle Cloud Infrastructure certification.</li><li>VMware certification.</li><li>Red Hat / OpenShift certification is a plus.</li><li>ITIL Foundation.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7+ years of experience in infrastructure, cloud, virtualization, systems, or automation roles.</li><li>Strong hands-on experience with Terraform and Ansible.</li><li>Experience automating infrastructure across at least two of the following: OCI, GCP, VMware/VCF, private cloud, Windows, Linux.</li><li>Strong understanding of infrastructure operations, provisioning, patching, monitoring, lifecycle management, and operational governance.</li><li>Experience with cloud landing zones, IAM, networking, compute, storage, and monitoring automation.</li><li>Experience in cloud asset inventory, tagging governance, and resource lifecycle management.</li><li>Experience identifying orphaned cloud resources such as unused disks, unattached IPs, idle VMs, orphan snapshots, unused buckets, stale accounts/projects, and unused network objects.</li><li>Good scripting skills using Python, PowerShell, Bash, or similar.</li><li>Familiarity with Git and version control for automation templates.</li><li>Understanding of ITSM, ServiceNow, change management, and operational approval workflows.</li><li>Ability to design reusable automation frameworks, not only standalone scripts.</li><li><b>Preferred Experience:</b> Multi-cloud automation experience. VMware / VCF automation exposure. OpenShift or Kubernetes infrastructure automation exposure. ServiceNow workflow or CMDB integration experience. Basic FinOps awareness. Basic CI/CD awareness for managing infrastructure automation pipelines, not application delivery.</li><li><b>Preferred Certifications:</b> HashiCorp Terraform Associate. Red Hat Ansible certification. Google Cloud certification. Oracle Cloud Infrastructure certification. VMware certification. Red Hat / OpenShift certification is a plus. ITIL Foundation.</li></ul><p></p></section>

<p>Maharah Human Resources Company is seeking a skilled Artificial Intelligence Engineer to design, develop, and implement AI-based solutions to enhance business processes and products. The ideal candidate will have a strong background in machine learning, data analysis, and software development, with the ability to translate complex data into actionable insights.</p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy AI models and algorithms to solve real-world problems</li><li>Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions</li><li>Conduct research and stay updated with the latest advancements in AI and machine learning</li><li>Analyze large datasets to extract meaningful patterns and insights</li><li>Optimize existing AI models for performance and scalability</li><li>Write clean, efficient, and well-documented code</li><li>Ensure AI systems comply with ethical guidelines and data privacy standards</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field</li><li>Proven experience in AI/ML development and deployment</li><li>Strong programming skills in Python, R, or similar languages</li><li>Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Good understanding of algorithms, statistics, and data structures</li><li>Strong problem-solving skills and analytical mindset</li><li>Ability to work collaboratively in a team-oriented environment</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes by transforming real-time video streams and sensor data into actionable insights. As a Senior Computer Vision Engineer, you will be at the very heart of our core technology. You will lead the design, development, and deployment of state-of-the-art computer vision models that analyze complex environments in real-time. From detecting queue lengths and analyzing customer behavior to verifying uniform compliance and hygiene standards, your algorithms will serve as the "eyes" that put an end to operational blindness for our clients.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2 to 4 years of hands-on experience in Computer Vision, Deep Learning, and building AI solutions.</li><li>Strong proficiency in PyTorch (or TensorFlow) and OpenCV .</li><li>Practical experience or strong familiarity with optimizing CV models for real-time inference (using tools like TensorRT or ONNX ).</li><li>Solid coding skills in Python and a good working knowledge of C++ .</li><li>Solid understanding of modern CV architectures (e.g., YOLO variants) and multi-object tracking algorithms.</li><li>Experience in processing video/image datasets, data augmentation, and managing labeling pipelines.</li><li>Bachelor s degree in Computer Science, Artificial Intelligence, or a related field (A Master's degree is a plus).</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes by transforming real-time video streams and sensor data into actionable insights. As a Senior Computer Vision Engineer, you will be at the very heart of our core technology. You will lead the design, development, and deployment of state-of-the-art computer vision models that analyze complex environments in real-time. From detecting queue lengths and analyzing customer behavior to verifying uniform compliance and hygiene standards, your algorithms will serve as the "eyes" that put an end to operational blindness for our clients.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2 to 4 years of hands-on experience in Computer Vision, Deep Learning, and building AI solutions.</li><li>Strong proficiency in PyTorch (or TensorFlow) and OpenCV .</li><li>Practical experience or strong familiarity with optimizing CV models for real-time inference (using tools like TensorRT or ONNX ).</li><li>Solid coding skills in Python and a good working knowledge of C++ .</li><li>Solid understanding of modern CV architectures (e.g., YOLO variants) and multi-object tracking algorithms.</li><li>Experience in processing video/image datasets, data augmentation, and managing labeling pipelines.</li><li>Bachelor s degree in Computer Science, Artificial Intelligence, or a related field (A Master's degree is a plus).</li></ul><p></p></section>