full-stack developer Jobs in Riyadh Saudi Arabia

full-stack developer

senior project engineer Jobs in Riyadh Saudi Arabia

senior project engineer

elastic stack enginner Jobs in Riyadh Saudi Arabia

elastic stack enginner

senior quality engineer Jobs in Riyadh Saudi Arabia

senior quality engineer

backend engineer Jobs in Riyadh Saudi Arabia

backend engineer

senior stack engineer

Advansys

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
<ul>
<li>Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.</li>
<li>Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.</li>
<li>Build and maintain ETL pipelines for log and metric data using Logstash and Beats.</li>
<li>Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.</li>
<li>Troubleshoot performance issues related to data ingestion, indexing, and search queries.</li>
<li>Implement security best practices, including role-based access control (RBAC) and data encryption.</li>
<li>Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.</li>
<li>Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.</li>
<li>Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.</li>
<li>Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.</li>
</ul>
Technical Skills: 
<ul>
<li>Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.</li>
<li>Experience in writing KQL/Lucene queries and designing visualizations.</li>
<li>Proficiency with Beats and Logstash for data collection and processing.</li>
<li>Experience running Elastic Stack in cloud environments.</li>
</ul>
Certifications: 
<ul>
<li>Elastic Certified Engineer certification is a strong advantage.</li>
</ul>

Elastic Stack Enginner

Advansys ME

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.
 Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.
 Build and maintain ETL pipelines for log and metric data using Logstash and Beats.
 Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
 Troubleshoot performance issues related to data ingestion, indexing, and search queries.
 Implement security best practices, including role-based access control (RBAC) and data encryption.
 Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.
 Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.
 Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.
 Requirements
 
Qualifications : 
Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.
 Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.
 
Technical Skills: 
Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.
 Experience in writing KQL/Lucene queries and designing visualizations.
 Proficiency with Beats and Logstash for data collection and processing.
 Experience running Elastic Stack in cloud environments.
 
Certifications: 
Elastic Certified Engineer certification is a strong advantage.

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
<ul>
<li>Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.</li>
<li>Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.</li>
<li>Build and maintain ETL pipelines for log and metric data using Logstash and Beats.</li>
<li>Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.</li>
<li>Troubleshoot performance issues related to data ingestion, indexing, and search queries.</li>
<li>Implement security best practices, including role-based access control (RBAC) and data encryption.</li>
<li>Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.</li>
<li>Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.</li>
<li>Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.</li>
<li>Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.</li>
</ul>
Technical Skills: 
<ul>
<li>Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.</li>
<li>Experience in writing KQL/Lucene queries and designing visualizations.</li>
<li>Proficiency with Beats and Logstash for data collection and processing.</li>
<li>Experience running Elastic Stack in cloud environments.</li>
</ul>
Certifications: 
Elastic Certified Engineer certification is a strong advantage

Elastic Stack Engineer (Saudi Nationality Only)

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.
 Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.
 Build and maintain ETL pipelines for log and metric data using Logstash and Beats.
 Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
 Troubleshoot performance issues related to data ingestion, indexing, and search queries.
 Implement security best practices, including role-based access control (RBAC) and data encryption.
 Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.
 Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.
 Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.
 Requirements
 
Qualifications : 
Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.
 Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.
 
Technical Skills: 
Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.
 Experience in writing KQL/Lucene queries and designing visualizations.
 Proficiency with Beats and Logstash for data collection and processing.
 Experience running Elastic Stack in cloud environments.
 
Certifications: 
Elastic Certified Engineer certification is a strong advantage

ريناد المجد

About the role Lead design and delivery of end-to-end AI systems (computer vision, generative AI, predictive modeling) and mentor engineering teams. Senior AI EngineerKey responsibilities<ul><li>Design, build and optimize ML/DL models (CV, generative models, predictive analytics).</li><li>Lead MLOps/model lifecycle, training pipelines, deployment and monitoring.</li><li>Work in Agile/Scrum with cross-functional teams and mentor junior engineers.</li><li>Drive architecture decisions and research spikes; integrate Agentic AI where applicable. Senior AI Engineer</li></ul>Must-have<ul><li>Bachelor&rsquo;s or Master&rsquo;s in AI/Data Science/CS or related.</li><li>5+ years AI/ML engineering experience.</li><li>Strong Python + PyTorch/TensorFlow expertise.</li><li>Experience with large-scale data, feature engineering and MLOps.</li><li>Git, CI/CD, and agile experience. Senior AI Engineer</li></ul>Nice-to-have<ul><li>Prior experience with Agentic AI frameworks and multi-agent systems; production experience in CV and generative models. Senior AI Engineer</li></ul>Benefits Competitive senior salary, leadership opportunities, R&amp;D time, training &amp; conference budget. Senior AI EngineerJob Type: Full-timePay: From &#65020;10.00 per monthAbility to commute/relocate:<ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your notice period in days ?</li><li>What is your salary expectation ?</li><li>Do you live in Riyadh ?</li></ul>Experience:<ul><li>AI Engineer: 5 years (Required)</li></ul>

Senior AI Engineer

Hudhud Maps

<div>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.
Key Responsibilities:
<ul><li>Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li>
Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li>
Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li>
Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li>
Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li>
Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul>
Qualifications:
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

Senior Machine Learning Engineer

<div>Role Overview:
We are seeking a skilled Data Visualization Engineer to join our data platform team. The ideal candidate will design, develop, and maintain interactive data visualizations and dashboards that empower business decisions. You will work closely with data engineers, analysts, and stakeholders, leveraging our technology stack including Apache Superset, JupyterHub, Python, Spark, SQL, and various databases.
Responsibilities:
<ul><li>Develop, enhance, and maintain advanced interactive dashboards and reports using Apache Superset.</li><li>
Utilize Python and JupyterHub for exploratory data analysis, prototyping visualizations, and sharing insights.</li><li>
Write efficient and scalable SQL queries to prepare data for visualization.</li><li>
Collaborate with data engineers to integrate and optimize data pipelines supporting analytics and visualization.</li><li>
Apply best practices in data visualization and UX to present complex datasets clearly and intuitively.</li><li>
Work with business and technical stakeholders to gather requirements and translate data into actionable visual insights.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.</li><li>
2+ years of experience in data visualization engineering, data analytics, or business intelligence.</li><li>
Strong hands-on experience with Apache Superset or similar BI tools (e.g., Tableau, Looker, Power BI).</li><li>
Proficiency in Python, including libraries for data manipulation and visualization.</li><li>
Solid experience with SQL for data preparation and processing.</li><li>
Familiarity with JupyterHub or similar notebook environments.</li><li>
Deep understanding of data visualization principles, chart types, and UI/UX best practices.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li><li>
Experience with cloud data platforms and databases (e.g., PostgreSQL, Clickhouse, or cloud-native) is a plus.</li></ul></div>

Data Visualization Engineer

Explore 904+ Senior stack engineer in Riyadh Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

904 senior stack engineer jobs IN Riyadh Saudi Arabia

Elastic Stack Enginner

Elastic Stack Enginner

Elastic Stack Engineer (Saudi Nationality Only)

Elastic Stack Engineer (Saudi Nationality Only)

Senior AI Engineer

Senior Machine Learning Engineer

Data Visualization Engineer