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planning engineer

business analyst

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solutions architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Confidential

<div>
 
 
 General Job Description
 
 
 
 The Digital Solutions Architect leads the end-to-end architecture and governance of smart city digital solutions delivered on a centralized digital platform. The role ensures that solution designs from multiple vendors align with defined reference architectures, cloud-agnostic standards, security and compliance requirements, and platform service catalogs.
 
 
 Working with government entities, telecom providers, and sector stakeholders, the architect translates business outcomes into actionable solution blueprints, ensures integration with shared platform services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role also supports scalable and reusable patterns for repeatable onboarding and deployment.
 
 
 
 Duties &amp; Responsibilities
 
 
 <ul>
 <li>
 Own solution architecture for assigned portfolios/use cases and ensure alignment with platform architecture and standards
 </li>
 <li>
 Translate business requirements into target-state solution designs, including capabilities, data flows, trust boundaries, and non-functional requirements
 </li>
 <li>
 Lead architecture governance including design reviews, architecture decision records (ADRs), standards compliance, and exception management
 </li>
 <li>
 Define solution onboarding approaches (environments, connectivity, identity, monitoring, CI/CD, infrastructure as code)
 </li>
 <li>
 Drive cross-vendor integration consistency (APIs, events, data contracts, observability, shared components)
 </li>
 <li>
 Ensure cloud-agnostic design principles with minimal vendor lock-in
 </li>
 <li>
 Collaborate with cybersecurity and data governance teams to embed security and privacy by design
 </li>
 <li>
 Validate vendor deliverables through architecture assurance, testing alignment, and release readiness
 </li>
 <li>
 Support operational readiness including runbooks, SLAs/SLOs, support models, and transition to operations teams
 </li>
 </ul>
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong end-to-end solution architecture capabilities across applications, data, integration, security, and operations
 </li>
 <li>
 Ability to govern multi-vendor environments while maintaining delivery efficiency
 </li>
 <li>
 Excellent stakeholder management and communication skills across business and technical teams
 </li>
 <li>
 Strong understanding of non-functional requirements such as scalability, performance, resilience, and observability
 </li>
 <li>
 Structured approach to documentation and decision-making (ADRs, reference architectures, roadmaps)
 </li>
 </ul>
 
 
 Potential Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Cybersecurity, or related field (Master&rsquo;s preferred)
 </li>
 <li>
 10+ years of experience in solution or enterprise architecture for large-scale digital platforms (smart city, government, telecom, or critical infrastructure preferred)
 </li>
 <li>
 Experience delivering cloud and hybrid solutions including Kubernetes, APIs, identity, and observability
 </li>
 <li>
 Proven experience in architecture governance (design authority, architecture boards, standards and exception handling)
 </li>
 <li>
 Experience working with system integrators/vendors under RFP-driven delivery models
 </li>
 <li>
 Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery methodologies
 </li>
 </ul>
 
 
 Preferred Tools &amp; Soft Skills
 
 
 
 
 Tools:
 
 
 <ul>
 <li>
 Architecture modeling: ArchiMate, Sparx EA, Visio, Draw.io
 </li>
 <li>
 API &amp; Integration: OpenAPI/AsyncAPI, API Gateways (Apigee, Azure APIM, Kong)
 </li>
 <li>
 Delivery &amp; DevOps: Azure DevOps, Jira/Confluence, Git (GitHub), Infrastructure as Code (Terraform, Bicep)
 </li>
 </ul>
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong facilitation and design review leadership
 </li>
 <li>
 Pragmatic decision-making and prioritization
 </li>
 <li>
 Clear, executive-level communication and documentation
 </li>
 <li>
 Strong negotiation and conflict resolution skills
 </li>
 <li>
 Ownership mindset with focus on delivery outcomes
 </li>
 </ul>
 
 
</div>

Digital Solutions Architect

Systems Limited - Middle East & Africa (Techvista)

<div>
 
 
 About the Role
 
 
 
 
 Systems Limited &ndash; Middle East &amp; Africa (Techvista)
 
 is seeking an experienced
 
 C2M Solution Architect
 
 to lead the design, implementation, and integration of Oracle Utilities Customer-to-Meter (C2M) and Billing solutions. The role involves translating complex business requirements into scalable, secure, and high-performance technical solutions, providing technical leadership to development teams, and ensuring alignment with IT and regulatory standards. The candidate will work closely with Enterprise Architects, IT, and business stakeholders to enhance customer and billing systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the functional design and architecture of Oracle Utilities C2M and Billing solutions based on business requirements
 </li>
 <li>
 Collaborate with Enterprise Architects, business, and IT teams to understand functional and technical requirements
 </li>
 <li>
 Update and maintain solution documentation aligned with overall Oracle Utilities architecture
 </li>
 <li>
 Provide technical leadership, guidance, and mentorship to the development team
 </li>
 <li>
 Oversee customizations and extensions of Oracle Utilities solutions
 </li>
 <li>
 Provide guidance on data migration, system integration strategies, and web services (SOAP/REST)
 </li>
 <li>
 Implement and enforce security best practices within Oracle Utilities solutions
 </li>
 <li>
 Support training sessions for IT teams and business users on Oracle Utilities functionalities
 </li>
 <li>
 Work with Quality Assurance and Continual Improvement teams to maintain ISO / Risk Management / ISMS certifications
 </li>
 </ul>
 
 
 
 
 
 Required Competencies and Experience &amp; Qualifications
 
 
 <ul>
 <li>
 8&ndash;10 years of experience in Oracle Utilities solutions, including Customer Care &amp; Billing (CCB), Customer to Meter (C2M), Meter Data Management (MDM), and Mobile Workforce Management (MWM)
 </li>
 <li>
 Strong expertise in Oracle Utilities Application Framework (OUAF)
 </li>
 <li>
 Experience in Java and/or Groovy coding for design/customizations of Oracle-based applications
 </li>
 <li>
 Expertise in Oracle Application Integration Stack, J2EE, XML technologies
 </li>
 <li>
 Experience designing and developing Web Services (SOAP/REST)
 </li>
 <li>
 Strong technical leadership, mentoring, and stakeholder management skills
 </li>
 <li>
 Experience with Oracle Utilities Products Implementation
 </li>
 <li>
 Proven ability to translate complex business requirements into scalable, high-performance technical solutions
 </li>
 <li>
 Hands-on experience with system integration and data migration initiatives
 </li>
 </ul>
 
 
</div>

C2M Solutions Architect/Designer

Quantiphi

<div>
 
 
 Role:
 
 Client Solutions Partner
 
 
 
 Experience:
 
 8+ years
 
 
 
 Work location:
 
 Doha, Qatar
 
 
 
 
 
 We're looking for a brilliant technologist, an excellent communicator, and a strategic partner&mdash;to be the technical heart of our AI Go-To-Market team. You will be the spark that ignites our customers' imagination, bridging the gap between the art of the possible and transformative, real-world solutions.
 
 
 
 
 
 
 What You'll Achieve:
 
 
 <ul>
 <li>
 Architect the Future State: Act as the trusted technical advisor to our most strategic clients, architecting end-to-end AI solutions and shaping their long-term technology roadmap.
 </li>
 <li>
 Inspire Action: Translate deep technical concepts into compelling business value, delivering jaw-dropping presentations and demos to audiences ranging from engineers to CXOs.
 </li>
 <li>
 Build and Unblock: Lead and build rapid, hands-on Proofs-of-Concept (especially on Google Cloud) that solve critical problems and dismantle technical blockers, paving the way for large-scale adoption.
 </li>
 <li>
 Drive the Win: Own the entire technical sales cycle&mdash;from discovery and qualification to overcoming objections and securing the "technical win" for high-value enterprise deals.
 </li>
 <li>
 Shape Our Strategy: Act as the voice of the customer and the market, channelling your insights to directly influence the evolution of our products, services, and company strategy. Build team strategy with including sales planning
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring:
 
 
 <ul>
 <li>
 
 Applied AI Mastery:
 
 Deep, demonstrable, hands-on expertise in building and deploying modern AI solutions, with a strong focus on Generative AI (RAG, Agents, LLMs) and Computer Vision.
 </li>
 <li>
 
 Data Strategy &amp; Enablement
 
 Expertise in defining data strategies that align with business goals&mdash;spanning data ingestion, modelling, governance, and consumption&mdash;enabling organizations to scale analytics and AI with confidence.
 </li>
 <li>
 
 Cloud &amp; Systems Fluency:
 
 Expertise of cloud architecture, with a proven track record of designing scalable, production-grade systems (strong Google Cloud experience is a significant advantage).
 </li>
 <li>
 
 Consultative Mindset:
 
 A natural ability to listen, challenge, and guide customers towards solutions they didn't know were possible.
 </li>
 <li>
 
 Effortless Communication:
 
 You are a storyteller who can command a room, build instant credibility, and articulate complex ideas with powerful simplicity.
 </li>
 <li>
 
 Proven GTM Experience:
 
 A significant track record of success in a senior, customer-facing technical role such as a Solutions Architect, Principal Sales Engineer, or Technical Evangelist.
 </li>
 <li>
 
 Be a Force Multiplier:
 
 Mentor and elevate our exceptional team of young AI talent, fostering a culture of curiosity and collaboration by being a leader who actively listens, learns, and guides.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills required:
 
 
 
 You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.
 
 <ul>
 <li>
 Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud
 </li>
 <li>
 Strong exposure of cloud technologies like GCP, AWS, Azure etc
 </li>
 <li>
 Excellent communication, articulation, abstraction, analytical and presentation skills
 </li>
 <li>
 Executive demeanor and experience working with senior client executives
 </li>
 <li>
 Ability to work with minimal supervision in a dynamic and time sensitive work environment
 </li>
 <li>
 Excellent aptitude in business analysis and awareness of quantitative analysis techniques
 </li>
 <li>
 Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries
 </li>
 </ul>
 
 
</div>

Client Solutions Partner

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI Architect

COZMALABS

We are seeking a highly skilled and confident Presales / technical operation specialist to join our team. This role blends deep technical expertise in Microsoft Azure with strong communication and client-facing skills. You will be responsible for designing cloud architectures, sizing resources, and creating detailed, client-ready cloud adoption plans. As a key advisor to our clients, you&rsquo;ll also be presenting and defending your solutions, aligning best practices with business goals.Key Responsibilities<ul><li>Design and Architect scalable, secure, and cost-effective solutions on Microsoft Azure.</li><li>Develop and document cloud architecture diagrams, including infrastructure components, networking, storage, compute, and security layers.</li><li>Engage with clients to understand their business and technical needs, and translate these into cloud solutions.</li><li>Present and pitch solutions confidently to both technical and non-technical audiences, including stakeholders and executives.</li><li>Defend architectural decisions using industry best practices and Azure-native capabilities.</li><li>Collaborate with sales, engineering, and project delivery teams to ensure alignment from pre-sales to implementation.</li><li>Continuously stay up-to-date with Azure advancements and evolve your skill set through self-learning.</li></ul>Required Skills and Qualifications<ul><li>5+ years of experience working with Microsoft Azure, including IaaS, PaaS, networking, storage, identity, and security services.</li><li>Strong familiarity with Azure Pricing Calculator, TCO (Total Cost of Ownership), and cost optimization strategies.</li><li>Demonstrated experience in creating cloud architecture diagrams (e.g., using Visio, Lucidchart, or similar tools).</li><li>Excellent presentation and communication skills and be able to simplify complex ideas and tailor messaging to diverse audiences.</li><li>Strong client engagement and consultative selling experience, especially in pre-sales or solution design roles.</li><li>Self-driven and independent, with a passion for continuous learning and a deep technical curiosity.</li><li>Knowledge of cloud governance, compliance, and landing zone concepts.</li><li>Azure certifications such as AZ-305 (Azure Solutions Architect Expert) or AZ-104 (Azure Administrator) are a plus.</li></ul>Nice to Have<ul><li>Experience with hybrid cloud or multi-cloud environments.</li><li>Familiarity with DevOps practices and automation tools (e.g., Terraform, ARM templates, Bicep).</li><li>Background in systems engineering, enterprise IT, or cloud migration projects.</li></ul>Job Type: Full-timeWork Location: In person

Presales/ Technical Operation Specialist

<div>
 
 
 Role Definition
 
 
 
 
 
 
 The Architect will:
 
 <ul>
 <li>
 Own
 
 critical and irreversible architectural decisions
 
 </li>
 <li>
 Lead
 
 hands-on recovery of production failures
 
 </li>
 <li>
 Ensure
 
 long-term survivability, scalability, and resilience
 
 of infrastructure
 </li>
 </ul>
 
 ⚠️ This is a
 
 strictly on-site role
 
 , requiring continuous physical presence in the data center environment, including direct access to hardware, consoles, and secure facilities.
 
 
 
 
 
 
 Experience (Mandatory)
 
 
 <ul>
 <li>
 
 15&ndash;20 years
 
 of enterprise IT infrastructure experience
 </li>
 <li>
 Proven ownership of
 
 large-scale data centers
 
 (thousands of servers/workloads)
 </li>
 <li>
 Demonstrated accountability for:
 </li>
 <li>
 High-risk architectural decisions
 </li>
 <li>
 Major production outages
 </li>
 <li>
 Root cause analysis and recovery execution
 </li>
 <li>
 Hands-on involvement in
 
 critical incident management and recovery
 
 </li>
 <li>
 Mandatory
 
 100% on-site presence
 
 for operational and recovery activities
 </li>
 </ul>
 
 
 
 
 
 Hardware &amp; Data Center Management (Expert Level &ndash; Mandatory)
 
 
 
 
 Enterprise Hardware Platforms
 
 
 <ul>
 <li>
 Design, deployment, and lifecycle management of:
 </li>
 <li>
 Rack, blade, and hyper-converged systems
 </li>
 <li>
 Deep expertise in:
 </li>
 <li>
 BIOS, firmware, drivers, compatibility matrices
 </li>
 <li>
 BMC / iDRAC / iLO and out-of-band management
 </li>
 <li>
 Execution of:
 </li>
 <li>
 Large-scale hardware refresh and expansion programs
 </li>
 <li>
 Decommissioning and lifecycle governance
 </li>
 <li>
 Advanced troubleshooting of:
 </li>
 <li>
 Disk, memory, CPU, NIC, HBA failures
 </li>
 </ul>
 
 
 Data Center Operations &amp; Governance
 
 
 <ul>
 <li>
 Hands-on management of:
 </li>
 <li>
 Racks, power, cooling, cabling, and space planning
 </li>
 <li>
 Coordination with:
 </li>
 <li>
 Facilities teams
 </li>
 <li>
 Vendors and field engineers
 </li>
 <li>
 Ownership of:
 </li>
 <li>
 Hardware standards and build templates
 </li>
 <li>
 Asset lifecycle, warranties, and support contracts
 </li>
 </ul>
 
 
 Hands-On Technical Expertise (Mandatory)
 
 
 
 
 Containers, Kubernetes &amp; OpenShift
 
 
 <ul>
 <li>
 Deep operational expertise in
 
 Kubernetes/OpenShift environments
 
 </li>
 <li>
 Hands-on recovery of:
 </li>
 <li>
 Control plane failures under live production traffic
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 Scheduler behavior
 </li>
 <li>
 etcd failure scenarios
 </li>
 <li>
 API server performance bottlenecks
 </li>
 <li>
 Design for:
 </li>
 <li>
 High availability (node, rack, DC failures as baseline scenarios)
 </li>
 </ul>
 
 
 Virtualization &amp; SDDC
 
 
 <ul>
 <li>
 Expert-level design and recovery of virtualization platforms
 </li>
 <li>
 Strong knowledge of:
 </li>
 <li>
 Micro-segmentation
 </li>
 <li>
 Distributed firewalls
 </li>
 <li>
 Performance tuning
 </li>
 <li>
 Ownership of:
 </li>
 <li>
 Emergency upgrades
 </li>
 <li>
 Rollbacks
 </li>
 <li>
 Lifecycle decisions
 </li>
 </ul>
 
 
 Networking &amp; Hybrid Cloud
 
 
 <ul>
 <li>
 Carrier-grade networking design and troubleshooting
 </li>
 <li>
 Hybrid cloud architecture with resilience against:
 </li>
 <li>
 Connectivity failures
 </li>
 <li>
 Identity/control-plane issues
 </li>
 <li>
 Ability to operate
 
 independently of vendors/system integrators
 
 </li>
 </ul>
 
 
 Certifications (Highly Preferred / Mandatory)
 
 
 <ul>
 <li>
 
 Red Hat Certified Architect (RHCA)
 
 &ndash; OpenShift &amp; Infrastructure tracks
 </li>
 <li>
 
 Certified Kubernetes Administrator (CKA)
 
 </li>
 <li>
 
 Certified Kubernetes Security Specialist (CKS)
 
 </li>
 <li>
 
 VMware VCIX (DCV + NV)
 
 or equivalent
 </li>
 <li>
 Cloud Architect Certification:
 </li>
 <li>
 AWS Professional OR Azure Architect Expert
 </li>
 <li>
 
 Expert-level networking certification (CCIE or equivalent)
 
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 Virtualization &amp; HCI
 
 
 <ul>
 <li>
 Nutanix HCI &amp; AHV (
 
 mandatory
 
 )
 </li>
 <li>
 VMware vSphere, NSX, vSAN
 </li>
 <li>
 Hypervisor performance tuning
 </li>
 <li>
 Data center infrastructure architecture
 </li>
 </ul>
 
 
 Cloud &amp; Automation
 
 
 <ul>
 <li>
 Private cloud architecture
 </li>
 <li>
 Infrastructure as Code (Terraform, Ansible)
 </li>
 <li>
 CI/CD integration
 </li>
 <li>
 API-driven infrastructure
 </li>
 </ul>
 
 
 Storage &amp; Networking
 
 
 <ul>
 <li>
 Software-defined storage:
 </li>
 <li>
 Ceph, Portworx, Nutanix Storage
 </li>
 <li>
 Software-defined networking
 </li>
 <li>
 Load balancers &amp; ingress controllers
 </li>
 </ul>
 
 
 Experience Requirements
 
 
 <ul>
 <li>
 
 10+ years
 
 in infrastructure/virtualization architecture
 </li>
 <li>
 
 5+ years
 
 in Kubernetes/container platforms
 </li>
 <li>
 Strong expertise in:
 </li>
 <li>
 Nutanix HCI
 </li>
 <li>
 VMware enterprise environments
 </li>
 <li>
 Experience in:
 </li>
 <li>
 Large enterprise / telecom / banking environments
 </li>
 <li>
 Proven track record in:
 </li>
 <li>
 Data center transformation
 </li>
 <li>
 Cloud migration programs
 </li>
 </ul>
 
 
</div>

Cloud, Container & Hardware Architect

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