senior architect

account manager

architect

project engineer

site engineer

solutions architect

Vertiv

<div><p>The Solution Architect is responsible for developing technically sound and commercially viable infrastructure solutions in support of sales opportunities. The role focuses on applying established reference architectures, standards, and design principles to customer requirements while ensuring alignment with Vertiv&rsquo;s portfolio, delivery capabilities, and commercial objectives.
</p><p>The Solution Architect operates within defined architectural guardrails and collaborates closely with Sales, Engineering, and Product teams to deliver consistent, high-quality Power and Thermal solutions efficiently.<br>
</p><p></p><p><b>DUTIES &amp; RESPONSIBILITIES:
</b></p><ul><li><b>Solution Development &amp; Presales Support
</b><ul><li>Translate customer requirements into solution concepts using approved architectures and standards
</li><li>Develop technical proposals, solution descriptions, and Bills of Material
</li><li><p>Support Sales with technical input during customer engagements, presentations, and clarifications<br>
</p></li></ul></li><p></p><li><b>Application of Standards &amp; Architectures
</b><ul><li>Apply Vertiv reference architectures, redundancy models, and design guidelines
</li><li>Ensure solutions align with portfolio positioning, cost models, and delivery constraints
</li><li><p>Identify deviations from standard architectures and escalate when required<br>
</p></li></ul></li><p></p><li><b>Cross-Functional Collaboration
</b><ul><li>Work closely with internal engineering disciplines (electrical, mechanical, controls, services)
</li><li>Coordinate inputs from internal specialists and support functions
</li><li><p>Support smooth handover of solutions into execution phases<br>
</p></li></ul></li><p></p><li><b>Quality &amp; Risk Awareness
</b><ul><li>Ensure solutions meet defined technical, compliance, and customer requirements
</li><li>Highlight technical risks, assumptions, and dependencies clearly
</li><li><p>Support validation against applicable standards (e.g. Tier intent, redundancy philosophy)<br>
</p></li></ul></li><p></p><li><b>Continuous Improvement
</b><ul><li>Capture lessons learned from executed projects
</li><li>Contribute feedback to improve reference designs, tools, and solution guidelines
</li>Actively develop technical and commercial understanding of Vertiv&rsquo;s offerings<br>
<li>
</li></ul></li></ul><p></p><p><b>MINIMUM QUALIFICATIONS:
</b></p><ul><li>Technical degree (Electrical, Mechanical, or related engineering discipline)
</li><li>6-8 years experience in presales, design, or solution engineering in infrastructure / data centre environments
</li><li>Solid understanding of power, cooling, and infrastructure system concepts
</li><li>Strong communication and stakeholder engagement skills
</li><li>Willingness to travel (~20%)
</li></ul><p>#LI-NS1 #LI-REMOTE</p></div>

Solutions Architect

Sprinklr

<div>
 Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.
 <br/>
 <br/>
 By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.
 <br/>
 <br/>
 Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Lead Solutions Architect &ndash; Platform, Data &amp; AI
  <br/>
  <br/>
 </strong>
 Sprinklr seeks a Lead Solutions Architect &ndash; Platform, Data, AI &amp; Integrations to partner with sales, product, and customer success to drive revenue by architecting, demonstrating, and operationalizing Sprinklr&rsquo;s Unified-CXM platform across enterprise technology, customer data, knowledge, and AI ecosystems.
 <br/>
 <br/>
 Solution Architects at Sprinklr combine deep technical expertise with strategic business consulting to uncover customer needs and position Sprinklr&rsquo;s platform, integration, customer data, knowledge, and AI capabilities. They provide trusted advisory guidance and rapidly map customer architectures across enterprise systems, customer data layers, knowledge frameworks, governance models, and emerging agentic AI ecosystems.
 <br/>
 <br/>
 This role focuses on Sprinklr&rsquo;s platform integration layer, customer data architecture, knowledge and experience design, enterprise AI/ML alignment, and agentic orchestration capabilities &mdash; including connector ecosystems, native import/export workflows, open APIs, unified customer intelligence, knowledge activation, automation, and intelligent autonomous workflows.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Platform, Integration &amp; Customer Data Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect end-to-end platform, customer data, knowledge, and integration solutions leveraging Sprinklr&rsquo;s connector ecosystem, unified customer intelligence frameworks, native import/export capabilities, knowledge systems, and REST API ecosystem.
  </li>
  <li>
   Design enterprise customer data architectures including customer identity resolution, profile unification, source-agnostic ingestion, structured/unstructured data harmonization, segmentation frameworks, consent and governance layers, customer memory, and omnichannel data continuity.
  </li>
  <li>
   Develop customer knowledge and experience architectures that activate operational, behavioral, conversational, and contextual customer intelligence across AI, service, marketing, and customer engagement workflows.
  </li>
  <li>
   Present enterprise architecture blueprints for common patterns &mdash; including CRM lifecycle integration, CDP synchronization, DAM connectivity, customer knowledge activation, omnichannel handover, case and interaction history continuity, reporting/analytics extraction, and platform extensibility.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI, Agentic &amp; Knowledge Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead AI, knowledge, and agentic solution design by mapping customer ecosystems to Sprinklr AI+, conversational AI, LLM ecosystems, enterprise search, RAG frameworks, NLP engines, memory architectures, and autonomous workflow orchestration.
  </li>
  <li>
   Define architectures for agentic enterprise use cases such as AI copilots, autonomous customer service agents, knowledge assistants, intelligent routing, AI-driven workflow execution, retrieval-augmented generation (RAG), customer memory systems, and real-time decision intelligence.
  </li>
  <li>
   Design knowledge governance frameworks including content ingestion, semantic search, taxonomy design, vectorization strategies, metadata structures, knowledge lifecycle management, and enterprise-safe AI deployment.
  </li>
  <li>
   Advise on AI + customer data governance including guardrails, hallucination mitigation, memory controls, observability, consent frameworks, model governance, and human-in-the-loop safety.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Presales Discovery, Consulting &amp; Transformation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead strategic discovery workshops to assess customer technology stacks, customer data maturity, AI readiness, and enterprise transformation opportunities across CRM, CDP, ERP, martech, DAM, analytics, cloud, compliance, and AI ecosystems.
  </li>
  <li>
   Map customer current-state ecosystems into Sprinklr&rsquo;s unified platform, customer data, knowledge, and AI architecture while producing fit-gap analyses, phased transformation strategies, and extensibility roadmaps.
  </li>
  <li>
   Develop and deliver compelling technical demonstrations, AI showcases, and Proofs of Concept (POCs)highlighting customer data activation, bi-directional integration, knowledge orchestration, API-led extensibility, agentic AI, and unified customer experiences.
  </li>
  <li>
   Translate fragmented architectures into strategic business outcomes by identifying operational inefficiencies, customer experience gaps, AI opportunities, and transformation priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Advisory &amp; Thought Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide strategic guidance on enterprise architecture spanning authentication, customer identity, data governance, transformation pipelines, compliance, observability, rate management, knowledge governance, and AI safety.
  </li>
  <li>
   Collaborate across Sprinklr&rsquo;s product, platform, AI, architecture, and sales ecosystem to validate designs against current capabilities and future roadmap priorities.
  </li>
  <li>
   Support RFPs, executive presentations, and technical strategy related to platform design, customer data architecture, AI transformation, knowledge governance, security, and compliance.
  </li>
  <li>
   Serve as a subject matter expert on Sprinklr&rsquo;s platform + customer data + knowledge + AI + integration taxonomy, clearly articulating the value of unified architectures over fragmented ecosystems.
  </li>
  <li>
   Act as a trusted technical advisor to CIOs, Chief Digital Officers, Chief Data Officers, enterprise architects, AI leaders, and transformation teams by translating complex technical ecosystems into measurable business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Travel up to 40% for customer engagements, strategic workshops, partner enablement, executive advisory sessions, and industry events.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education &amp; Experience
  <br/>
  <br/>
 </strong>
 <strong>
  Who You Are &amp; What Makes You Qualified
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master&rsquo;s degree preferred.
  </li>
  <li>
   7+ years of experience in enterprise platform architecture spanning integrations, customer data, AI, knowledge systems, or cloud ecosystems.
  </li>
  <li>
   5+ years of experience architecting and demonstrating enterprise solutions in presales, solutions engineering, technical consulting, or transformation leadership roles with measurable revenue impact
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Platform, Integration &amp; Technical Depth
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep expertise in enterprise integration patterns including REST/GraphQL APIs, webhook orchestration, event-driven architecture, ETL/ELT pipelines, source-agnostic ingestion, identity systems, API gateways, and bi-directional SaaS connectivity.
  </li>
  <li>
   Hands-on experience with enterprise SaaS ecosystems including CRM, CDP, DAM, workforce management, analytics, martech, customer feedback, and operational systems.
  </li>
  <li>
   Strong proficiency with integration tooling and standards including OAuth 2.0, SAML/SSO, JSON/XML, iPaaS platforms, middleware, cloud integration ecosystems, and governance frameworks.
  </li>
  <li>
   Customer Data Architecture &amp; Knowledge Systems
  </li>
  <li>
   Deep expertise in customer data architecture and enterprise knowledge design, including customer identity resolution, profile unification, master data alignment, metadata strategy, taxonomy design, knowledge graphs, and structured/unstructured data harmonization across CX, CRM, CDP, and service ecosystems.
  </li>
  <li>
   Proven experience architecting customer knowledge and experience frameworks that unify operational, behavioral, conversational, and contextual data to power personalized journeys, AI copilots, agentic workflows, retrieval-augmented generation (RAG), and enterprise search.
  </li>
  <li>
   Strong understanding of customer experience data models including journey orchestration, interaction history, case lifecycle, segmentation, consent, privacy, customer memory, and omnichannel continuity.
  </li>
  <li>
   Hands-on experience designing enterprise knowledge architectures supporting content governance, ingestion pipelines, semantic search, vectorization strategies, metadata frameworks, knowledge lifecycle management, and real-time decision intelligence.
  </li>
  <li>
   Ability to transform fragmented ecosystems into a unified customer data + knowledge + experience architecturethat improves customer outcomes, AI accuracy, operational efficiency, and platform scalability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI, Agentic &amp; Data Intelligence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of AI/ML, Generative AI, and agentic architectures including LLMs, NLP, RAG, enterprise search, vector systems, orchestration frameworks, memory systems, autonomous agents, and intelligent workflow automation.
  </li>
  <li>
   Experience designing agentic systems with governance, observability, trust layers, guardrails, lifecycle management, and enterprise-safe deployment strategies.
  </li>
  <li>
   Familiarity with cloud data ecosystems such as Snowflake, Databricks, AWS, Azure, GCP, or equivalent enterprise data intelligence platforms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Consulting &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong capability to perform deep discovery across customer architecture, customer data maturity, AI readiness, and operational transformation needs while aligning phased adoption strategies.
  </li>
  <li>
   Excellent communication skills with the ability to influence enterprise architects, CIOs, CDOs, IT decision-makers, and C-suite executives by translating platform, data, AI, and customer experience architectures into business outcomes.
  </li>
  <li>
   Experience contributing to thought leadership, sales enablement, partner ecosystem growth, strategic transformation, and innovation programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance, Privacy &amp; Security
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of security, privacy, compliance, and responsible AI frameworks including SOC 2, GDPR, CCPA, customer consent frameworks, governance-by-design, and enterprise-safe customer data activation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Differentiators
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with conversational AI, autonomous enterprise agents, customer memory systems, or enterprise AI transformation.
  </li>
  <li>
   Familiarity with CCaaS, CXM, customer service transformation, and unified customer engagement ecosystems.
  </li>
  <li>
   Ability to position Sprinklr as more than a platform &mdash; as a Unified Customer Experience, Customer Data, Knowledge, and Agentic AI Transformation Architecture.
  </li>
  <li>
   Passion for shaping the future of enterprise customer engagement through platform unification, customer intelligence, and autonomous AI innovation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We focus on our mission
 </strong>
 : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:
 <br/>
 <br/>
 <ul>
  <li>
   Lead a new category of enterprise software that we call Unified-CXM.
  </li>
  <li>
   Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
  </li>
  <li>
   Create a culture of customer obsession, with trust, teamwork, and accountability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We believe in our product
 </strong>
 : Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands.
 <br/>
 <br/>
 <strong>
  We invest in our people
 </strong>
 : We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
 <br/>
 <br/>
 To learn more about employee benefits by region, click here.
 <br/>
 <br/>
 To learn more about all-things-Sprinklr, visit our candidate resource hub here.
 <br/>
 <br/>
 <strong>
  EEO - Our philosophy
 </strong>
 : Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.
 <br/>
 <br/>
 Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.
 <br/>
 <br/>
 Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
 <br/>
 <br/>
 <strong>
  Warning about Recruiting Scams:
 </strong>
 Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.
 <br/>
 <br/>
 If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.
</div>


Lead Solutions Architect

NVIDIA

<div><p>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!</p><p>
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.</p><p></p><p><b>
What You&rsquo;ll Be Doing:</b></p><ul><li><p>
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.</p></li><li><p>
Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.</p></li><li><p>
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.</p></li><li><p>
Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.</p></li><li><p>
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.</p></li><li><p>
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.</p></li></ul><p><b><br>
What We Need to See:</b></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.</p></li><li><p>
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.</p></li><li><p>
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).</p></li><li><p>
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.</p></li><li><p>
Travel: Willingness to travel up to 25% for customer engagements.</p></li></ul><p><b><br>
Ways to Stand Out from the Crowd:</b></p><ul><li><p>
Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.</p></li><li><p>
Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.</p></li><li><p>
Experience with multi-tenant GPU cluster management and workload scheduling frameworks.</p></li><li><p>
Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.</p></li><li><p>
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.</p></li></ul></div><p></p>

Senior Solutions Architect, Customer Success

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is looking for a Senior Solutions Architect to join our Commercial Sector Enterprise team in the UAE. You will work directly with customers in Financial Services, Retail, Travel &amp; Hospitality, and Media &mdash; organizations navigating complex digital transformations where the technology strategy is not yet defined and the right path forward requires both technical depth and business judgment.<br>
<br>
This is a builder role. You will go into customer environments, understand their hardest problems, and design solutions that work &mdash; from whiteboard architecture through proof of concept to production. You will bring deep expertise across cloud infrastructure, modern application development, data and analytics, and increasingly, generative AI and machine learning. You will earn trust by shipping things that matter, not by presenting slides.<br>
<br>
You will be part of a collaborative, supportive team that values curiosity, ownership, and impact. We learn from each other, coach and develop each other, and build an environment where every voice is heard.<br>
<br>
Key job responsibilities<br>
As a Senior Solutions Architect, you will own the technical relationship with customers end-to-end. This means:<br>
<br>
<ul><li>Partnering with enterprise customers to understand their business objectives, assess their current technology landscape, and architect cloud solutions that deliver real outcomes &mdash; in cost optimization, operational efficiency, security, reliability, and innovation.</li></ul><br>
<ul><li>Building hands-on: prototypes, proofs of concept, reference architectures, and production-ready designs. You lead by doing, not just advising.</li></ul><br>
<ul><li>Helping customers adopt and build with generative AI and machine learning &mdash; identifying high-value use cases, designing architectures for foundation models and intelligent applications, and guiding teams from experimentation to production.</li></ul><br>
<ul><li>Acting as the customer's technical advocate inside AWS &mdash; translating field insights into clear, prioritized feedback that shapes the roadmap for AWS services and features.</li></ul><br>
<ul><li>Creating and sharing technical content that scales your impact: workshops, blog posts, code samples, reference architectures, and public talks at meetups, user groups, and conferences.</li></ul><br>
<ul><li>Shaping the future of our team by helping hire, coach, and mentor fellow Solutions Architects. You make the team stronger because of your presence, but the team does not depend on your presence to succeed.</li></ul><br>
A day in the life<br>
No two days look the same. You might spend the morning whiteboarding a multi-account landing zone architecture with a financial services customer's platform team, then pivot to a hands-on working session helping a retail customer's developers integrate a foundation model into their recommendation engine. In the afternoon you might review a colleague's architecture proposal, draft a blog post on a pattern you discovered in the field, or hop on a call with an AWS service team to advocate for a feature your customer needs. You balance depth with breadth, strategic thinking with hands-on execution, and customer urgency with long-term technical direction.<br>
<br>
About the team<br>
AWS Solutions Architects in MENAT are a tight-knit team of builders and technologists who are passionate about helping customers in one of the world's fastest-growing cloud markets. We work across diverse industries and cultures, which demands adaptability, curiosity, and genuine respect for our customers' contexts. We support each other through knowledge sharing, peer reviews, and a culture of continuous learning. We believe the best ideas come from diverse perspectives, and we actively foster an inclusive environment where everyone can do their best work.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers</li><li>Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Experience working with end user or developer communities</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience architecting/operating solutions built on AWS</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Sr. Solutions Architect, UAE CS ENT

<div><p>NVIDIA is looking for a Senior Cloud Infrastructure and DevOps Solutions Architect 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!</p><p></p><p>
We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and multi-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation&mdash;serving as both a trusted advisor and a hands-on technical leader.</p><p></p><p><b>
What You&rsquo;ll Be Doing:</b></p><ul><li><p>
Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).</p></li><li><p>
Provide consultative guidance and perform hands-on solving across the full stack&mdash;from bare metal and operating system, through the software stack, container platform, networking, and storage.</p></li><li><p>
Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.</p></li><li><p>
Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer partners.</p></li><li><p>
Support Research &amp; Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.</p></li><li><p>
Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.</p></li><li><p>
Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.</p></li></ul><p></p><p><b>
What We Need to See:</b></p><ul><li><p>
Education &amp; Experience: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience), with 8+ years of professional experience in leading scalable cloud environments and automation engineering roles.</p></li><li><p>
Cloud &amp; HPC Expertise: Shown understanding of networking fundamentals, data center architectures, and hands-on experience leading HPC/AI clusters, including deployment, optimization, and solving.</p></li><li><p>
NVIDIA GPU Expertise: Validated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.</p></li><li><p>
Kubernetes &amp; AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments.</p></li><li><p>
Hardware &amp; Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.</p></li><li><p>
Linux &amp; Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols. Experience with storage solutions such as Lustre, GPFS, ZFS, XFS, and emerging Kubernetes storage technologies.</p></li><li><p>
Automation &amp; Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems.</p></li><li><p>
Solution Architecture &amp; Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and speaking publicly to executive partners.</p></li></ul><p></p><p><b>
Ways to Stand Out from the Crowd:</b></p><ul><li><p>
Knowledge of CI/CD pipelines for software deployment and automation.</p></li><li><p>
Experience working with NVIDIA GPU and Network Operators to manage automated resource lifecycle in Kubernetes environments.
</p></li><li><p>Solid hands-on knowledge of Kubernetes and container-based microservices architectures.</p></li><li><p>
Experience with NVIDIA GPU and Network Operator for automated GPU as well as network resources lifecycle management in Kubernetes environments.</p></li><li><p>
Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and supervising GPU clusters at scale as well as background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.</p></li></ul></div><p></p>

Senior Solutions Architect, Cloud Infrastructure and DevOps

Eaton

<div><p>Join Our Team at Eaton: Empowering Tomorrow, Today!
</p><p>Eaton has been a key player in the Middle East for 40 years. In July 2024, we announced the construction of a new sustainable <b>campus in Dubai </b>, which will bring together our commercial, manufacturing, and support functions, providing room for future growth.
</p><p><b>About Us:
</b></p><p>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.
</p><div><div><div><h2 class="jobSectionHeader"><b>PRIMARY FUNCTION DESCRIPTION:
</b></h2></div><div><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
</p><p>As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
</p><p>Within this segment, Eaton has an opening for a <b>Data Center Solutions Architect Engineer &ndash; Grey Space. </b>This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>ESSENTIAL FUNCTIONS &amp; DIMENSIONS:
</b></h2></div><div><p><b>Customer Solutions &amp; Concept Design
</b></p><ul><li>Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
</li><li>Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
</li><li>Develop conceptual and system level solutions covering grey space environments.
</li><li>Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
</li><li>Support technical discussions during pre-sales, design development, and early project phases.
</li></ul><p><b>System Architecture &amp; Engineering Expertise
</b></p><ul><li>Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
</li><li>Ensure alignment between white space power requirements and upstream grey space infrastructure.
</li><li>Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
</li><li>Provide technical recommendations to optimize footprint, power coordination, and system integration.
</li></ul><p><b>Cross Functional Collaboration
</b></p><ul><li>Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
</li><li>Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
</li><li>Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
</li></ul><p><b>Standards, Compliance &amp; Innovation
</b></p><ul><li>Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
</li><li>Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
</li><li>Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
</li></ul><p><b>Project &amp; Lifecycle Support
</b></p><ul><li>Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
</li><li>Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
</li><li>Assist field engineers during commissioning and startup activities when needed.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>POSITION CRITERIA:
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in engineering from an accredited institution.
</li><li>Minimum 3 years of work experience with data center electrical systems, covering grey space environments.
</li><li>Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
</li><li>Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
</li><li>Ability to lead technical discussions and conceptual design workshops with customers.
</li><li>Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
</li><li>Strong analytical, problem solving, and communication skills.
</li><li>Customer focused mindset with the ability to act as a trusted technical advisor.
</li></ul><div><div><p><b>WHAT WE OFFER YOU :
</b></p></div><div><ul><li>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
</li><li>Annual mentoring program, Eaton University, a reward, and recognition system
</li><li>Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
</li><li>Strong, agile and diverse team locally and globally
</li><li>Strong processes and state-of-the-art systems and tools
</li><li>Detailed induction support and well-structured onboarding
</li><li>Balance your work and life with a hybrid worktime model
</li></ul></div></div><div><p><b>Living and Working in Dubai
</b></p><p><i>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world&rsquo;s most exciting cities.
</i><br>
<i>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</i></p></div></div></div></div></div>

Data Center Solutions Architect Engineer - Grey Space

<div><div><div><div><h2 class="jobSectionHeader"><b>PRIMARY FUNCTION DESCRIPTION:
</b></h2></div><div><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
</p><p>As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
</p><p>Within this segment, Eaton has an opening for a <b>Data Center Solutions Architect Engineer &ndash; White Space </b>. This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>ESSENTIAL FUNCTIONS &amp; DIMENSIONS:
</b></h2></div><div><p><b>Customer Solutions &amp; Concept Design
</b></p><ul><li>Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
</li><li>Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
</li><li>Develop conceptual and system level solutions covering white space environments.
</li><li>Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
</li><li>Support technical discussions during pre-sales, design development, and early project phases.
</li></ul><p><b>System Architecture &amp; Engineering Expertise
</b></p><ul><li>Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
</li><li>Ensure alignment between white space power requirements and upstream grey space infrastructure.
</li><li>Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
</li><li>Provide technical recommendations to optimize footprint, power coordination, and system integration.
</li></ul><p><b>Cross Functional Collaboration
</b></p><ul><li>Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
</li><li>Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
</li><li>Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
</li></ul><p><b>Standards, Compliance &amp; Innovation
</b></p><ul><li>Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
</li><li>Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
</li><li>Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
</li></ul><p><b>Project &amp; Lifecycle Support
</b></p><ul><li>Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
</li><li>Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
</li><li>Assist field engineers during commissioning and startup activities when needed.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>POSITION CRITERIA::
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in engineering from an accredited institution.
</li><li>Minimum 3 years of work experience with data center electrical systems, covering white space environments.
</li><li>Proficiency in English; additional languages (e.g., Arabic) are a plus.
</li><li>Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
</li><li>Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
</li><li>Ability to lead technical discussions and conceptual design workshops with customers.
</li><li>Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
</li><li>Strong analytical, problem solving, and communication skills.
</li><li>Customer focused mindset with the ability to act as a trusted technical advisor.
</li></ul><div><div><p><b>WHAT WE OFFER YOU :
</b></p></div><div><ul><li>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
</li><li>Annual mentoring program, Eaton University, a reward, and recognition system
</li><li>Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
</li><li>Strong, agile and diverse team locally and globally
</li><li>Strong processes and state-of-the-art systems and tools
</li><li>Detailed induction support and well-structured onboarding
</li><li>Balance your work and life with a hybrid worktime model
</li></ul></div></div><div><p><b>Living and Working in Dubai
</b></p><p><i>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world&rsquo;s most exciting cities.
</i><br>
<i>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</i></p></div></div></div></div></div>

Data Center Solutions Architect Engineer - White Space

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