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></div>

Senior Solutions Architect, Customer Success

Infinite Lambda

<div><h2 class="jobSectionHeader">Role Overview</h2>
The Data/AI Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.
The position is titled Data/AI Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda&rsquo;s solutions meet client needs effectively.
LOCATION &amp; WORK ARRANGEMENTS
The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.
DETAILED RESPONSIBILITIES
PROSPECTIVE CLIENT ENGAGEMENT<ul><li>
Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;</li><li>
Understand and document client needs, articulating how Infinite Lambda&rsquo;s products and services can address these needs effectively;</li><li>
Work closely with the sales team to foster collaboration and develop compelling proposals that meet</li><li>
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;</li><li>
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;</li><li>
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.</li></ul>
LEAD SALES ENGINEER STRATEGY<ul><li>
Work with departments such as Product &amp; Services, Customer Success, and Sales &amp; Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;</li><li>
Collaborate with Product &amp; Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;</li><li>
Enhance the positioning of Infinite Lambda&rsquo;s products and services during the sales process and beyond, improving how value is communicated to clients;</li><li>
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company&rsquo;s market positioning;</li><li>
Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;</li><li>
Deepen subject-matter knowledge in Infinite Lambda&rsquo;s key industry verticals, ensuring a strong understanding of client needs and market dynamics.</li></ul>
ADDITIONAL DUTIES<ul><li>
Work with Infinite Lambda&rsquo;s executive team to help steer the company&rsquo;s overall strategy in a positive direction, providing insights from solutions architect perspectives.</li><li>
Represent Infinite Lambda at external conferences and events, promoting the company&rsquo;s brand, thought leadership, and expertise in data and cloud engineering.</li></ul>
REQUIREMENTS<ul><li>
Education: A Bachelor&rsquo;s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;</li><li>
Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors;</li><li>
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;</li><li>
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices;</li><li>
Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;</li><li>
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;</li><li>
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product &amp; Services, Customer Success, and Sales &amp; Partnerships;</li><li>
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.</li><li>
Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...</li></ul><h2 class="jobSectionHeader">
INTERVIEW PROCESS</h2><ul><li>
Intro call with TABP: 45-min</li><li>
Interview with General Manager: 45-min</li><li>
Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min</li><li>
Cultural Chat with CEO: 45-min</li></ul>
Why join Infinite Lambda<ul><li>
We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;</li><li>
You work autonomously here in a wholesome environment and get as much paid holiday as you need;</li><li>
The projects are diverse and give you plenty of opportunity to experiment with new tech;</li><li>
The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.</li></ul>
Submit your CV in English in PDF.
Mind that as we are an international team, internal communication is in English.
In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.
Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.
Compensation Range: $180K - $210K</div>

Data/AI Solutions Architect

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Dubai (Flexible)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 9 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR111172</div></div></div></div></div></div><div><div>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.<div>
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:</div><div><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>
#LI-MC1</div>
If a Genesys employee referred you, please use the link they sent you to apply.
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></div></div>

AI Solution Architect EMEA

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Manager
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value
Requirements :
<ul><li>Degree in Computer Science or related field
</li></ul><ul><li>Minimum 12+ years of experience in Applied AI Solution Architecture
</li></ul><ul><li>Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch
</li></ul>- Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools
- Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions
Preferable : To have a minimum of a master&rsquo;s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.
Whole leadership : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.
Global acumen: The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
Technical and Digital : Focus on fast growing technologies and how to make use of them towards digital transformation.
Business acumen: The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC. Relationships: The ability to build relationships of high value which are genuine and meaningful
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Influence, Innovation, Intellectual Curiosity {+ 35 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, AI Solution Architect- Senior Manager

Transfast Group of Companies

Senior Architect &ndash; Job Description &amp; ResponsibilitiesPosition Title:Senior ArchitectJob Summary:The Senior Architect is responsible for planning, designing, and overseeing construction projects from concept development to project completion. The role includes coordinating with clients, consultants, engineers, and project teams to ensure that all architectural works meet company standards, client requirements, safety regulations, and project deadlines.Key Responsibilities:<ul><li>Prepare architectural designs, drawings, and project plans according to client requirements and project specifications.</li><li>Review and approve architectural layouts, shop drawings, and material selections.</li><li>Coordinate with structural, MEP, and other engineering departments to ensure proper project execution.</li><li>Supervise and monitor architectural works at the project site to ensure quality and compliance with approved drawings.</li><li>Ensure all projects comply with local authority regulations, building codes, and safety standards.</li><li>Attend meetings with clients, consultants, contractors, and suppliers regarding project progress and design coordination.</li><li>Provide technical guidance and support to junior architects, draftsmen, and site teams.</li><li>Review project schedules, budgets, and progress reports to ensure timely completion of works.</li><li>Identify design issues and provide practical architectural solutions.</li><li>Conduct site inspections and prepare reports related to architectural progress and quality.</li><li>Coordinate material approvals and ensure the use of approved construction materials.</li><li>Maintain proper documentation of drawings, revisions, approvals, and project records.</li><li>Assist management in project planning, cost estimation, and design development.</li><li>Ensure confidentiality of company projects, designs, and client information.</li></ul>Qualifications &amp; Requirements:<ul><li>Bachelor&rsquo;s Degree in Architecture or related field.</li><li>Minimum [5&ndash;10] years of experience in architectural design and construction projects.</li><li>Strong knowledge of architectural software such as AutoCAD, Revit, SketchUp, and other design tools.</li><li>Knowledge of local authority regulations and building codes.</li><li>Strong leadership, communication, and coordination skills.</li><li>Ability to manage multiple projects and work under pressure.</li></ul>Reporting To:Project Manager / Engineering Manager / General ManagerWork Location:[Company/Project Location]Pay: AED3,000.00 - AED5,000.00 per monthWork Location: In person

Senior Architect

Omnix

<div><div><div><div><h5 class="jobSectionHeader">Qatar</h5>
Posted : 18 Jun 2025
<ul><li>Draftsman/Modeller</li>
<li>Engineering solutions</li>
</ul><ul><li>Full Time</li></ul>
</div><div><div>We are seeking a highly skilled and experienced Senior Structural Engineer with expertise in design drawing development, architectural/structural modeling, and rebar detailing and estimation. The ideal candidate will have substantial experience in building estimation, concrete quantity surveying, and formwork design for all concrete members. This role requires proficiency in preparing detailed views, including plans, sections, and elevations. Candidates should have extensive experience in designing concrete structures and a proven track record of working with regional and international offices. Proficiency in SAP2000, ETABS, and SAFE is essential. The position demands a minimum of 10-20 years of professional experience, with at least 10 years in the GCC region.

Key Responsibilities:
<div><ul><li>Design Drawing Development:
<ul><li>Create and develop comprehensive design drawings for structural projects.</li>
<li>Ensure drawings meet high standards of accuracy and detail.</li>
</ul></li></ul><ul><li>Architectural/Structural Modeling:
<ul><li>Develop detailed architectural and structural models using industry-standard software.</li>
<li>Ensure models are precise and adhere to project specifications.</li>
</ul></li></ul><ul><li>Rebar Detailing and Estimation:
<ul><li>Provide detailed rebar detailing for various concrete structures.</li>
<li>Perform accurate rebar quantity estimations to support project planning and budgeting.</li>
</ul></li></ul><ul><li>Building Estimation and Concrete Quantity Survey:
<ul><li>Prepare detailed building estimations, including materials, labor, and associated costs.</li>
<li>Conduct thorough concrete quantity surveys to optimize resource utilization.</li>
</ul></li></ul><ul><li>Concrete Formwork Design:
<ul><li>Design efficient and safe formwork for all concrete members.</li>
<li>Ensure formwork designs meet structural requirements and project specifications.</li>
</ul></li></ul><ul><li>Preparation of Detailed Views:
<ul><li>Produce detailed plans, sections, and elevations for all project phases.</li>
<li>Collaborate with design teams to ensure views are accurate and comprehensive.</li>
</ul></li></ul><ul><li>Design of Concrete Structures:
<ul><li>Utilize expertise to design robust and efficient concrete structures.</li>
<li>Ensure designs comply with relevant codes, standards, and regulations.</li>
</ul></li></ul><ul><li>Collaboration with Regional/International Offices:
<ul><li>Work closely with regional and international teams to ensure project consistency and quality.</li>
<li>Adapt designs to meet the specific needs and standards of different regions.</li>
</ul></li></ul><ul><li>Software Proficiency:
<ul><li>Utilize SAP2000, ETABS, and SAFE for structural analysis and design.</li>
<li>Ensure software tools are used effectively to enhance project outcomes.</li>
</ul></li></ul></div>Qualifications and Experience:
<ul><li>Education:
<ul><li>Bachelor&rsquo;s degree in Civil Engineering, Structural Engineering, or a related field. A Master&rsquo;s degree is preferred.</li>
</ul></li><li>Experience:
<ul><li>10-20 years of professional experience in structural engineering.</li>
<li>Minimum of 10 years of experience working in the GCC region.</li>
<li>Extensive experience in working on regional and international projects.</li>
</ul></li><li>Skills and Competencies:
<ul><li>Proficient in SAP2000, ETABS, and SAFE.</li>
<li>Strong analytical and estimation skills.</li>
<li>Excellent knowledge of concrete formwork design and rebar detailing.</li>
<li>Ability to prepare detailed plans, sections, and elevations.</li>
<li>Strong communication and collaboration skills.</li>
<li>Attention to detail and a commitment to delivering high-quality work.</li>
</ul></li><li>Job Location: Qatar</li></ul></div></div></div></div></div>

Senior Structural Engineer

Sarmad

<div>Sarmad is seeking a highly skilled Cloud Infrastructure Engineer to join our dynamic team. This position plays a critical role in designing, deploying, and managing our cloud infrastructure to ensure optimal performance, security, and reliability. As a Senior Cloud Infrastructure Engineer, you will work closely with cross-functional teams to deliver scalable cloud solutions that meet our business objectives.
Responsibilities:<ul><li>
Design, implement, and manage cloud infrastructure solutions using services from AWS, Azure, and especially Oracle Cloud.</li><li>
Ensure the security and integrity of the cloud infrastructure through best practices.</li><li>
Perform capacity planning and scaling of cloud resources based on business needs.</li><li>
Monitor and troubleshoot performance, availability, and security of cloud resources.</li><li>
Automate tasks using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.</li><li>
Provide technical support and guidance to junior engineers and other teams.</li><li>
Stay updated on emerging cloud technologies and industry trends to continuously refine cloud architecture.</li></ul> 

Requirements 
<ul>
<li>5+ years of experience in cloud engineering or related field.</li>
<li>Strong expertise in cloud platforms such as AWS, Azure, or Oracle Cloud.</li>
<li>Experience with Linux Based Operating systems (CentOS, Redhat, and Ubuntu).</li>
<li>Experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation).</li>
<li>Proficient in scripting languages for automation tasks.</li>
<li>In-depth knowledge of cloud security best practices and compliance standards.</li>
<li>Experience with containerization technologies (Docker, Kubernetes) is a plus.</li>
<li>Familiarity with CI/CD tooling and DevOps methodologies.</li>
<li>Strong problem-solving skills and ability to work in a fast-paced environment.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>Relevant cloud certifications (e.g., AWS Certified Solutions Architect, OCI Certified Architect) are preferred.</li> 
</ul> 
 
Benefits 
<ul>
<li>Hybrid work model</li>
<li>Healthy working environment</li>
<li>Medical Insurance</li>
<li>Social Insurance</li></ul></div>

Cloud Infrastructure Engineer

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