senior solutions architect

NVIDIA

<div>
 NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
 
 
 We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.
 </li>
 <li>
 Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
 </li>
 <li>
 Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
 </li>
 <li>
 Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.
 </li>
 <li>
 Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.
 </li>
 <li>
 Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.
 </li>
 <li>
 NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.
 </li>
 <li>
 Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
 </li>
 <li>
 System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
 </li>
 <li>
 Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
 </li>
 <li>
 Travel: Willingness to travel up to 25% for customer engagements.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.
 </li>
 <li>
 Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.
 </li>
 <li>
 Experience with multi-tenant GPU cluster management and workload scheduling frameworks.
 </li>
 <li>
 Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.
 </li>
 <li>
 Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.
 
 
 </li>
 </ul>
 , , JR2019277
 
 
</div>

Senior Solutions Architect, Customer Success

Genesys

<div>
 
 Be the one building AI-powered experiences where they matter most.
 
 
 
 At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
 
 
 Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day.
 
 
 The
 
 Genesys AI Architect
 
 is a senior presales AI specialist who operates across three core motions:
 
 
 <ul>
 <li>
 Driving strategic AI opportunities with customers and sales teams
 </li>
 <li>
 Scaling the field through reusable assets, technical enablement, and coaching
 </li>
 <li>
 Shaping product and go-to-market direction through real-world customer and field feedback
 
 
 </li>
 </ul>
 This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
 </li>
 <li>
 Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
 </li>
 <li>
 Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
 </li>
 <li>
 Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
 </li>
 <li>
 Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.
 </li>
 <li>
 Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
 </li>
 <li>
 Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
 </li>
 <li>
 Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.
 </li>
 <li>
 Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
 </li>
 <li>
 Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.
 </li>
 <li>
 Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
 </li>
 <li>
 Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
 </li>
 <li>
 Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization&rsquo;s broader IT and transformation strategy.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 AI Architecture &amp; Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.
 </li>
 <li>
 Enterprise Integration &amp; Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.
 </li>
 <li>
 Evaluation, Governance &amp; Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
 </li>
 <li>
 Executive Communication &amp; Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.
 </li>
 <li>
 Prompt Design &amp; AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.
 </li>
 <li>
 Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
 </li>
 <li>
 Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
 </li>
 <li>
 Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
 </li>
 <li>
 Executive Presence: Proven ability to influence CIO/CTO decision-makers.
 </li>
 <li>
 Strong understanding of the Genesys Cloud platform and Genesys AI preferred.
 </li>
 <li>
 Foundational understanding of programming concepts (Python preferred).
 </li>
 <li>
 Fluency in English and Arabic languages.
 </li>
 <li>
 French language fluency as a plus.
 
 
 </li>
 </ul>
 
 Working at Genesys
 
 
 
 <ul>
 <li>
 AI at enterprise scale &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
 </li>
 <li>
 A flexible-first culture &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
 </li>
 <li>
 Growth in the AI era &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support
 </li>
 <li>
 Time to recharge and give back &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
 </li>
 <li>
 Recognized globally &ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys
 
 
 </li>
 </ul>
 Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
 
 
 
 What Happens After You Apply
 
 
 
 After you apply, here's what you can typically expect:
 
 
 <ul>
 <li>
 Our Talent Acquisition team reviews your application with the hiring team
 </li>
 <li>
 A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
 </li>
 <li>
 Next, you'll meet the hiring manager and other members of the interview team
 </li>
 <li>
 We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
 </li>
 <li>
 After interviews are complete, our team will follow up with the final steps
 
 
 </li>
 </ul>
 Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
 
 
 
 Stay Connected
 
 
 
 Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
 
 
 Get notified about relevant opportunities.
 
 
 
 Be the one building what's next - where AI, experience and impact come together.
 
 
 
 
 Employee Referral
 
 
 
 If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
 
 
 
 About Genesys:
 
 
 
 Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
 
 
 
 Reasonable Accommodations:
 
 
 
 If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
 
 
 You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
 
 
 This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.
 
 
 
 Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
 
 
 
 
 Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
 
 
 
</div>

AI Solution Architect EMEA

Sinopack Search

<div>
 
 An architectural design studio in Dubai is looking to bring in a Design Architect to support the design of some of the most impressive private villas being built anywhere in the region.
 
 
 
 
 
 This is a studio known for producing highly creative, design-led homes for private clients, with projects regularly reaching 30,000 to 50,000 sq ft.
 
 
 
 
 
 The work is detailed, bespoke and carefully considered, with a strong focus on concept, materials, craftsmanship and ensuring every element of the design feels properly resolved.
 
 
 
 
 
 They are now looking for a Design Architect who can work closely with the senior design team across concept and design development stages, helping shape high-end residential projects from the initial idea through to a detailed design package.
 
 
 
 
 
 This role would suit someone who enjoys working on luxury residential design, has strong creative ability, and understands how to turn ambitious ideas into well-considered architectural design.
 
 
 
 
 
 
 The role
 
 
 
 
 
 
 &bull; Supporting the design of ultra luxury private villas
 
 
 &bull; Working across concept design, design development and presentation stages
 
 
 &bull; Developing plans, elevations, sections and 3D design studies
 
 
 &bull; Producing high quality design packages for private residential projects
 
 
 &bull; Working closely with senior designers, interior designers and technical teams
 
 
 &bull; Supporting material, mood and concept presentations
 
 
 &bull; Ensuring the design remains consistent with the client brief and studio vision
 
 
 
 
 
 
 What they are looking for
 
 
 
 &bull; Architect with strong experience on high end residential projects
 
 
 &bull; Experience working on luxury villas or large private residences
 
 
 &bull; Strong design ability and a good eye for proportion, detail and materials
 
 
 &bull; Confident developing concepts into clear architectural design packages
 
 
 &bull; Proficiency in Revit and good working knowledge of SketchUp
 
 
 &bull; Someone who takes pride in producing thoughtful, well detailed residential design
 
 
 
 
 
 This is a studio led by some excellent people and a team that takes huge pride in the work they produce. You will be trusted to contribute to major private residential projects and play a key role in designing some of the most impressive homes being built in the region.
 
 
 
 
</div>

Architect Luxury Villas

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

Akasia Decor LLC

We are looking for a senior Architect / fit out design architect with following qualitiesA well-established interior design and fit-out company is looking for project and design architects who has experience in the Retail and Fit out for shopping malls.The preferred candidate will be responsible and have knowledge of the following.Architectural Designer- Bachelor&rsquo;s Degree in Architecture- Excellence Experience in Retail Shopping Mall- Minimum 8 years of Experience in UAE- Fluent in EnglishKey Responsibilities:- Manage the client&rsquo;s requirements on design and project delivery.- Produce architectural/technical drawings and 3D views, including all details of joinery/mill work -Prepare sample boards for the client&rsquo;s approval. - Liaise with the mall/landlord&rsquo;s retail design team for design approvals.- Monitor the furniture manufacturing process and ensure the highest accuracy and quality.- Proficiency in AutoCad, SketchUp, Photoshop, and PowerPoint are essentials.- Outstanding skills in project planning, highly organized, detail-oriented, deadline-driven, quality and time focused.Interested candidate please send your CV to: hanounf449@gmail.com, or Whats App 055-434-4253.Job Type: Full-timePay: From AED8,000.00 per monthWork Location: In person

Senior Architect

Confidential

OverviewThe IT Solution Architect will play a critical role in the design, implementation, deployment, and adoption of IT solutions across the organization. This role will be responsible for ensuring that solutions are scalable, secure, and aligned with business needs. You will work closely with various stakeholders and vendors to ensure that the solutions meet current requirements and are future-ready. Key Responsibilities1. Project Coordination:<ul><li>Plan, consult, and coordinate projects related to application design, development, and implementation.</li><li>Collaborate with cross-functional teams to ensure timely and successful project delivery.</li><li>Oversee the alignment of project goals with business requirements, ensuring seamless integration and functionality.</li></ul>2. Application Management:<ul><li>Maintain, customize, and enhance business applications based on user requirements.</li><li>Collaborate with end-users to understand their needs and ensure the solution is tailored accordingly.</li><li>Perform application upgrades, patches, and configuration changes as necessary to improve system performance.</li></ul>3. Solution Architecture Design:<ul><li>Define and document the overall solution architecture, ensuring alignment with business objectives.</li><li>Work closely with stakeholders to understand business needs and design technical solutions that address these requirements.</li><li>Evaluate and select appropriate technologies, platforms, and tools for the solution.</li></ul>4. Architectural Standards and Best Practices:<ul><li>Develop and maintain architectural standards, guidelines, and best practices to ensure consistency across projects.</li><li>Ensure solutions meet performance, scalability, and security requirements to support the organization's goals.</li><li>Continuously review and improve architectural standards in line with emerging trends and technologies.</li></ul>5. Technical Leadership and Support:<ul><li>Provide technical guidance and direction to development teams, ensuring that solutions are implemented as designed.</li><li>Identify and mitigate potential risks and issues related to the architecture and solution delivery.</li><li>Participate in post-implementation reviews to assess the solution’s performance and suggest improvements.</li></ul>   6. Continuous Improvement:<ul><li>Actively contribute to the continuous improvement of existing solutions, ensuring they remain efficient and relevant.</li><li>Stay informed of the latest developments in technologies and frameworks to recommend upgrades or changes to enhance system performance.</li></ul>Qualifications:<ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>Certifications: Relevant certifications in D365 F&amp;O, CRM, and other relevant streams like Azure or AWS platforms.</li><li>Experience: Minimum of 10 years of experience in application management, systems engineering, or software development, with significant experience in solution architecture.</li><li>Skills and Competencies:<ul><li>Strong problem-solving skills and analytical thinking.</li><li>Expertise in databases and SQL.</li><li>Solid knowledge of enterprise systems like MS D365 CRM, F&amp;O, Business Central.</li><li>Strong understanding of cloud computing concepts and architecture (Azure or AWS).</li><li>Excellent communication skills to articulate technical solutions to both technical and non-technical stakeholders.</li></ul></li></ul>Reporting Line: You will report to the Senior Manager - Group IT Applications.

IT Solution Architect

Explore 524+ Senior solutions architect in Dubai this July. Find roles across top companies and apply now to boost your career.