Qureos Mentor

DeepSource Technologies

<div>The Engineer is responsible for monitoring, and maintaining the operational health of the private cloud platformTo operate a 24x7 managed monitoring service using Dynatrace and ManageEngine. You will ensure high availability and performance across 100+ applications and 1,000+ infrastructure assets, maintaining strict SLA compliance
Responsibilities<ul><li>
Full-Stack Observability: Manage Dynatrace APM to monitor application performance, transaction tracing, and user experience for 100+ apps and 12 databases.</li><li>
Infrastructure Oversight: Utilize ManageEngine to monitor 100 network devices and 1,000+ hosts, tracking health metrics like CPU, latency, and packet loss.</li><li>
Dependency Mapping: Use Dynatrace Smartscape to map digital asset relationships and perform impact analysis during incidents.</li><li>
24x7 NOC Operations: Provide continuous alert triage, and escalation management within a rotating shift model.</li><li>
Performance Governance: Generate real-time dashboards and detailed RCA (Root Cause Analysis) reports to drive continuous service improvement.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree or Diploma in engineering /computer science or similar (preferred)</li><li>
Experience in monitoring tools experience with Dynatrace and/or ManageEngine monitoring suites.</li><li>
Technical Depth: Strong understanding of application topology, network protocols, and Data Center infrastructure &quot;Servers , Storage and networking&quot;.</li><li>
Previous enperience 24x7 Managed Services or NOC environment. (preferred)</li><li>
Process: Experience with ITIL frameworks, incident management, and meeting strict SLA targets.</li><li>
Communication: Ability to translate technical telemetry into clear performance reports and dashboards.</li></ul></div>

Monitoring & Observability Engineer (24x7 Operations)

<div>Role Summary
We are seeking a skilled BIM &amp; Autodesk Automation Developer to join our Technical Office. The successful candidate will design, develop, and maintain custom tools and workflows that automate and accelerate core engineering processes including quantity take-offs, BOQ generation, timeline building, and shop drawing production &mdash; all within our Revit and AutoCAD environment.
This role is pivotal in our company's AI and digital transformation strategy. You will work directly with engineers and project managers to translate manual workflows into efficient, automated processes that reduce cost and improve delivery time.
Key Responsibilities
1. Quantity Take-Off (QTO) Automation<ul><li>Develop Revit add-ins and Dynamo scripts to extract quantities automatically from BIM models</li><li>Build AutoCAD automation scripts (AutoLISP / .NET API) to process DWG files and output structured quantity data</li><li>Export QTO data directly to Excel or BOQ templates with zero manual intervention</li></ul>
2. BOQ Generation<ul><li>Automate the generation of Bills of Quantities from Revit model elements and AutoCAD drawing layers</li><li>Map model elements to specification codes and cost categories automatically</li><li>Format outputs to company and FIDIC standards</li></ul>
3. Timeline &amp; Schedule Automation<ul><li>Extract Work Breakdown Structures (WBS) from Revit model phases and AutoCAD drawing sets</li><li>Integrate model data with scheduling tools (Primavera P6, MS Project) via API or structured data export</li><li>Build dashboards that reflect live project schedule status from BIM data</li></ul>
4. Shop Drawing Production<ul><li>Automate shop drawing generation at various levels of detail (LOD) directly from Revit models</li><li>Build tools for automatic title block population, drawing numbering, and revision management</li><li>Develop clash detection workflows using Navisworks API or equivalent</li><li>Automate compliance checks against project specifications</li></ul>
5. Integration &amp; Connectivity<ul><li>Connect Revit/AutoCAD outputs to Excel, Power BI, ERP, or project management platforms</li><li>Build data pipelines between technical office tools using APIs or middleware (Zapier, custom scripts)</li><li>Document all tools, scripts, and workflows for team use and onboarding</li></ul> 
Requirements 
Revit API (C# or Python) Required
Dynamo for Revit &mdash; scripting and automation Required
AutoCAD .NET API or AutoLISP scripting Required
BIM modelling experience &mdash; Civil / Structural projects Required
Degree in Civil Engineering, Architecture, or Computer Science Required
Experience with IFC / Open BIM standards Preferred
Autodesk Construction Cloud (ACC) / BIM 360 API Preferred
Python or C# for general scripting and automation Preferred
Integration with Excel, Power BI, or ERP systems Preferred
Navisworks API &mdash; clash detection automation Advantage
Alice Technologies or similar AI scheduling tools Advantage
Experience with CostX, Togal.AI, or similar QTO platforms Advantage</div>

BIM & Autodesk Automation Developer - Riyadh,KSA

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

Senior Ai Engineer - Riyadh,KSA

<div>Role Overview:
We are seeking a skilled Jira Administrator to join our team in Riyadh, KSA. The Jira Administrator will be responsible for the configuration, management, and support of the Jira platform, enabling seamless collaboration and project tracking across departments.
The ideal candidate will have deep experience with Jira administration, a strong understanding of Atlassian products, and the ability to implement and optimize workflows to enhance team productivity.
Key Responsibilities:<ul><li>
Administer and configure Jira (Cloud/Server/Data Center) and Jira Service Management projects.
</li><li>Manage Jira users, groups, permissions, and security schemes.
</li><li>Create, modify, and maintain workflows, custom fields, screens, and dashboards.
</li><li>Administer and support Confluence spaces, permissions, and content structure.
</li><li>Manage Jira add-ons and integrations to extend functionality and improve efficiency.
</li><li>Provide guidance and support to teams on best practices for using Jira and Confluence.
</li><li>Troubleshoot issues, optimize performance, and implement upgrades or patches as required.
</li><li>Develop and deliver training materials, user guides, and documentation for Jira and Confluence users.
</li><li>Collaborate with IT, project management, and business teams to ensure Jira aligns with organizational needs.</li></ul> 

Requirements 
<ul><li><ul><li>
Proven experience as a Jira Administrator, including Jira Service Management.
</li><li>Strong knowledge of Jira workflows, schemes, fields, permissions, and project configurations.
</li><li>Experience with Jira add-ons/plugins and their administration.
</li><li>Proficient in Confluence administration and integration with Jira.
</li><li>Strong problem-solving skills and ability to troubleshoot system issues.
</li><li>Excellent communication and stakeholder management skills.
</li><li>Familiarity with Agile/Scrum methodologies is a plus.
</li></ul></li></ul>Preferred Qualifications:<ul><li><ul><li>
Atlassian Certified Jira Administrator (ACP-100 or ACP-600).
</li><li>Experience with scripting (e.g., Jira Automation, ScriptRunner).
</li><li>Experience in managing large-scale Jira instances.</li></ul></li></ul> 

Benefits 
<ul><li>
Medical insurance.</li><li>
Flight tickets.</li></ul></div>

Jira Admin - Riyadh, KSA

Join DeepSource Technologies and explore 9   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DeepSource Technologies

About Company

Monitoring & Observability Engineer (24x7 Operations)

BIM & Autodesk Automation Developer - Riyadh,KSA

BIM & Autodesk Automation Developer - Riyadh,KSA

Senior Ai Engineer - Riyadh,KSA

Senior Ai Engineer - Riyadh,KSA

Jira Admin - Riyadh, KSA

Jira Admin - Riyadh, KSA