Summary:

The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.

Responsibilities:

• Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
• Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
• Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
• Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
• Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
• Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
• Performing SRE activities such as availability and reliability monitoring and reports.
• Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
• Setting up infrastructure as a service using Terraform.
• Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
• Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
• Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
• Articipate in the on-call rotation to keep up the service SLA per the business needs.
• Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
• Take appropriate actions by doing impact analysis during the incidents.

Requirements and Skills:

• B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
• Can speak English fluently to communicate with teams across geographical regions.
• +6 years of experience in SRE or DevOps Engineering.
• +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
• +3 years of experience in Terraform.
• +3 years of experience in Kubernetes.
• +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
• Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
• Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
• Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
• Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
• Good to have experience with Config Management using Ansible, Chef, Puppet, or others.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374

The role 

Nebius is hiring for a driven Account Executive - Middle East & Africa MEA marketplace. Targeting AI workloads across a set of industries and AI-native new logos and existing customers. Based in MEA you will manage strategic client relationships, uncover new business opportunities, work with partners and lead the end-to-end sales process—from initial engagement to closing. Your ability to understand complex business needs, craft tailored solutions, and thrive in a fast-moving, innovative environment will be key to your success. This role requires a solid blend of consultative selling, strategic thinking, and execution excellence to help clients unlock the full value of our platform.

Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment and receive excellent opportunities for career growth and business development.

You are welcome to work remotely from Saudi Arabia, Abu Dhabi or Dubai.

Your responsibilities will include: 

• Demonstrate a deep understanding of Nebius and the value to our customers
• Own and grow your territory: maintain and deliver against a strategic plan for region/territory
• Client Engagement: Development deep relationships with key stakeholder across the enterprise, position our AI and cloud solutions to address client-specific challenges.
• Solution Selling: demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations and presentations.
• Negotiation & Closing: Lead contract negotiations with C-suit executives, securing deals that meet revenue targets and contributing to long-term partnerships.
• Regional Representations: Represent Nebius AI at regional industry events, webinars and customer meetings
• Market Knowledge: Stay updated on industry trends, emerging technologies and competitive landscapes to position our solutions effectively.
• Orchestrate the deal team (SE’s, Industry, Partners, CS) to deliver differentiated value proposals and business cases.
• Forecast with accuracy; progress deals through salesforce sales process and deliver against AC /Activity targets.

We expect you to have: 

• Proven Experience: 8+ years of experience in B2B sales, particularly in AI, cloud, or data infrastructure, with a clear hunter track record.
• Passion and desire to work in a startup culture, directly impacting the growth of the company
• Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies.
• Strong commercial acumen: value mapping, negotiation, multiyear deals, and execlevel storytelling.
• High energy, enthusiasm, and evidence of consistent growth vs. quota.
• CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar.
• Native fluency in local language (Arabic) as well as fluent in English.
• Ability to travel as needed.

It will be an added bonus if you have:   

• Previous experience in a high-growth, start-up environment.
• Exposure to SaaS models or cloud infrastructure sales.
• Experience selling to mid-market or enterprise-level clients.

SHOULD YOU ACCEPT THIS CHALLENGE…

As a Technical Design Architect (Active Cluster & Cloud) (TDA-ACC), you will utilize your strong technical competencies in the field of replication, clustering, cloud offerings as well as data migrations, to provide the highest level of implementation capability and technical consultation to both customers and Pure sales teams to support sales goals. You will work on cross-functional teams including Sales, Product Marketing, Business Development Managers, Services and engineering to scope and help sell Professional Services solutions for homogeneous and heterogeneous solutions to customers/partners. You will become intimately acquainted with the customer’s/partner’s business requirements, technical needs, systems, environment and service history, enabling you to present targeted solutions to our customer base. You will build replication, clustering and migration solutions for our customers and will be expected to be a member of the hands-on team delivering these services across EMEA. The role covers pre-sales and delivery functions, and you will be comfortable with performing either role as demand dictates.You will possess a thorough understanding of IT architecture, designing solutions, networking and implementation of these solutions and must have significant experience across different replication technologies, clustering, cloud and data migration solutions. You will also be experienced in delivering large scale and complex projects utilising all the mentioned offerings and will also be skilled in scripting to enable automation of these processes where appropriate.

THE ROLE...

TDAs work with customers, sales teams, engineering and Everpure partners to:

• To understand prospect’s technical needs related to a specific market or specific product (i.e. block, virtualized, file solutions, clustering, replication best practice, disaster recovery, business contingency).
• In a post-sales consultative role to support the implementation of the professional services solution that was scoped and subsequently sold.
• To provide technical consultation/education to the sales teams and keep them apprised on new replication offerings and data migrations solutions.
• Participate in customer evaluations and proof of concepts on Pure systems
• Advise and consult on engineering developments and strategies for replication, clustering and data migrations, ensuring these solutions meet and integrate into our clients DR and BCP best practices.
• Plan, conduct and direct projects to support sales efforts and address future customer needs
• Evaluate partner proposals for migration services to ensure they deliver quality and value for money to Pure.
• Deliver replication, clustering and migration solutions to our customers, either as a sole resource or member of a team.
• Develop scripts for both integration of Pure storage into a customer’s operational environment and the automation of replication, clustering, cloud and data migrations.

WHAT YOU’LL BRING…

• Flash Array experience / Replication technologies (Active Cluster or similar)
• Amazon AWS, Microsoft Azure and other cloud-based offerings.
• Data Center Migrations/Consolidations/Toolsets
• Networking concepts and high-level designs
• Cirrus Data Solutions Appliance (or Appliance based solutions for migrating block data)
• Virtualisation Tools - Cisco/Microsoft/VMWare (Cloud solutions)
• Proven experience of scripting languages such as Perl, Shell, Powershell, Visual Basic, Python.
• Networking infrastructure (Nexus / ACI / Broadcom / Brocade) 
• Security/Firewalls
• Other technical platform or infrastructure migration tools such as Logical Volume Manager (LVM), Datadobi, StorageX, Open Replicator.
• Data Center Migration Implementations for block and file.
• Multi-vendor server and storage platforms and performance tuning experience.
• Windows, AIX and Linux Operating systems
• Hyper-V and VMWare ESX (vRA / SRM)
• Amazon AWS, Microsoft Azure and other cloud-based offerings.
• Disaster Recovery, Replication, Backup technologies (Zerto / Veeam / Rubrik / Veritas NBU)
• Preparation and delivery of technical and architecture solution
• Contribute significant portions for data migration solutions to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• UNIX OS, NFS file systems and UNIX distributed network environment
• Knowledge of Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written communication skills, any languages are a definite benefit (Arabic)
• Team leadership skills
• BS in CS, EE or other technical degree and/or equivalent experience.

#LI-ONSITE

THE ROLE

Are you ready to architect the data foundation for some of the world’s most influential organisations? As a Pre-Sales Systems Engineer for Everpure in the Eastern Region of Saudi Arabia, you won’t just be selling storage; you’ll be enabling the digital transformation of global giants.

In a region where data scale is measured in exabytes and "downtime" is not in the vocabulary, your mission is to show our clients how to break free from the "legacy tax" of storage and drive them in to the future. You will be the technical mastermind bridging the gap between traditional infrastructure and a cloud-native future, leveraging the Everpure Platform and Portworx to deliver the agility of the public cloud with the security and performance of on-premises systems.

WHAT YOU'LL DO

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Passionately bring to light the advantages of an Everpure solution
• Refine sales strategy and tactics, taking command of technical responsibilities
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigour to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Author responses to RFI & RFPs
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. Whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organisation
• Lead by example living the Pure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING 

• Creativity, empathy, an open mind, curiosity and a desire for continuous learning
• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Linux, NFS file systems and Linux distributed network environment
• Familiarity with AWS, Azure, GCP a plus
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Familiarity with containers, k8s and Microservices architectures a plus
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written interpersonal skills
• BS in CS, EE or other technical degree and/or equivalent experience
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, Microservices architecture)
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• We are primarily an in-office environment and therefore, you will be expected to work remotely in compliance with Everpure's policies.Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable

#LI-REMOTE

The Position 

We are seeking a highly skilled and customer-focused Technical Account Manager (TAM) to join our growing cybersecurity team. In this role, you will act as a trusted technical advisor to our enterprise customers, owning the post-sales relationship, supporting deployments, and ensuring successful integration and operation of our cybersecurity solutions. 

You will bridge the gap between customer needs and our product capabilities, working closely with our Sales Engineering, Support, Product, and Customer Success teams.

What You Will Be Doing 

• Serve as the primary technical point of contact for assigned enterprise clients. 

• Lead and support the hands-on deployment, configuration, and optimization of cybersecurity solutions on client environments (cloud, hybrid, and on-premises). 

• Conduct on-site visits to assess environments, guide implementation, and deliver technical workshops or training sessions. 

• Proactively manage customer technical health – monitor performance, troubleshoot issues, and ensure ongoing operational excellence. 

• Develop a deep understanding of customer infrastructure, use cases, and security posture to provide strategic guidance and best practices. 

• Collaborate with internal engineering and product teams to relay customer feedback and advocate for feature requests or enhancements. 

• Participate in incident response and post-mortem activities when escalations occur. 

• Create and maintain technical documentation, runbooks, and environment overviews. 

What We Need From You 

• 5+ years of experience in a customer-facing technical role (e.g., TAM, Sales Engineer, Solutions Architect, Security Consultant). 

• Strong technical background in cybersecurity tools and principles, including areas like endpoint protection, SIEM/SOAR, firewalls, identity & access management, or cloud security. 

• Hands-on experience with system integration, scripting (Python, PowerShell, Bash), and working in Linux/Windows environments. 

• Comfortable leading deployments and technical troubleshooting on customer sites. 

• Knowledge of cloud platforms (AWS, Azure, GCP) and their security ecosystems. 

• Hands-on experience with system integration, scripting (Python, PowerShell, Bash), and working in Linux/Windows environments. 

• Excellent communication skills – able to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. 

• Ability to manage multiple client accounts and prioritize competing demands. 

• Strong documentation skills and a disciplined approach to knowledge sharing. 

It Would Be Nice If You Had  

• Industry certifications such as CISSP, CISM, CEH, OSCP, or vendor-specific certs (AWS Security Specialty, Microsoft SC-200, etc.). 

• Experience with modern DevSecOps tools and CI/CD pipelines. 

• Familiarity with data privacy and compliance frameworks (e.g., GDPR, HIPAA, NIST, ISO 27001). 

• Experience working in high-availability or mission-critical environments. 

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!

About the Program: 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role

We’re looking for a fresh graduate or early-career Machine Learning Engineer on a builder track.

This role is for someone who wants to take ML from “cool idea” to “running in production”. You will work across data, modeling, and software engineering to build, deploy, and operate models that improve customer experience, reduce risk, and unlock operational efficiency.

With the advancement of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, safety, privacy, and performance.

Your responsibilities

• Build and ship ML systems
  • Develop and deploy ML models and services that solve real business problems.
  • Write production-quality code, tests, and documentation.
• Own the full model lifecycle
  • Help with data understanding, feature creation, training, evaluation, and iteration.
  • Set up offline and online evaluation, and monitor performance after release.
• Make ML reliable in production
  • Improve model serving reliability, latency, and cost.
  • Implement monitoring for data drift, model drift, and key quality metrics.
  • Participate in incident response and postmortems when needed.
• Work with data and platform teams
  • Partner with data engineers and platform engineers on pipelines, event-driven signals, and data quality.
  • Use event streaming patterns when appropriate (near-real-time features, online scoring, CDC signals).
• Build tools that help others move faster
  • Contribute to reusable training and serving components (templates, libraries, CI/CD, feature pipelines).
  • Help enable safe self-serve ML and AI usage across teams.
• Use AI tools thoughtfully
  • Use AI to accelerate prototyping, debugging, documentation, and test generation.
  • Validate outputs, document assumptions, and protect sensitive data.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python (preferred) or another language used for ML systems.
• Strong fundamentals in:
  • Data structures and algorithms (enough to write efficient, reliable code)
  • Probability and statistics basics
  • ML fundamentals (supervised learning, overfitting, validation, metrics)
• Comfort working with data using SQL and/or Python.
• A problem-solving mindset and curiosity to learn quickly.
• Clear communication and a collaborative approach.

Nice to have

• Experience with common ML libraries (scikit-learn, PyTorch, TensorFlow) through coursework or projects.
• Familiarity with model deployment patterns (APIs, batch scoring, streaming/online scoring).
• Exposure to MLOps concepts (experiment tracking, model registry, CI/CD, monitoring).
• Familiarity with cloud (GCP/AWS) and containers (Docker) is a plus.
• Understanding of responsible AI and privacy (PII handling, access control, evaluation).
• Experience using AI assistants responsibly for coding and analysis.

What success looks like

• You ship at least one end-to-end ML improvement (model, feature, or service) that runs reliably.
• You can explain model performance clearly: what improved, what did not, and why.
• Monitoring is in place for your models, and you react quickly when metrics drift.
• You reduce manual effort for the team by adding a reusable component, template, or automation.

Responsibilities:

Expectations:

Advantages:

• VMCE certification is beneficial; employees can obtain VMCE and VMCA after starting the job.
• Knowledge in Kubernetes technologies platforms is an advantage.
• Knowledge in DBs (Oracle, SQL, DB2, SAP) is an advantage.

• Understanding of data and privacy and security standards such as GDPR, CCPA/CPRA, NIST 800-53, ISO 27001, HIPAA, PCI-DSS, PDPL, NDMO, NCA, SAMA.

  Familiarity with data security frameworks including DSPM (Data Security Posture Management) .

We Offer:

Key Responsibilities

• Develop and deploy AI, machine learning, and generative AI solutions.
• Build AI-powered tools such as chatbots, copilots, and workflow automation.
• Prepare and process data for model training, testing, and deployment.
• Integrate AI models into products and internal systems through APIs.
• Fine-tune, evaluate, and monitor model performance.
• Work closely with Product, Engineering, Data, and business teams to identify AI use cases.
• Ensure AI solutions follow data privacy, security, and governance standards.
• Document AI models, workflows, and technical designs.

Requirements

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• 2–5 years of experience in AI, machine learning, data science, or software engineering.
• Strong Python programming skills.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of LLMs, NLP, embeddings, vector databases, and RAG.
• Experience with APIs, cloud platforms, and production deployment.
• Strong problem-solving and collaboration skills.

Preferred

• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LangChain, LlamaIndex, Pinecone, FAISS, or similar tools.
• Experience in fintech, banking, payments, or regulated environments.

About the Role

The Enterprise Architect is responsible for designing, documenting, and leading the implementation of technical solutions for customers following the sale of Veeam products. This role bridges customer business requirements with Veeam’s technology, ensuring solutions are scalable, secure, and aligned with best practices, while also supporting partner-driven implementations.

The position involves technical leadership, customer consultation, and collaboration with internal teams to deliver successful outcomes—particularly for large enterprise customers undergoing digital transformation.
Beyond direct design and delivery, the Enterprise Architect develops reference architectures and design guidelines that standardize deployments across both customer-led and partner-led projects. Additionally, they collaborate with pre-sales teams to ensure a smooth transition from initial solution design to implementation.

What You’ll Do

Technical Discovery & Analysis

• Conduct technical discovery sessions with customers to assess their existing IT landscape and requirements.
• Identify opportunities for improvement and architecture enhancements based on Veeam solutions.

Solution Design, Documentation & Reference Architectures

• Design both high-level and detailed solution architectures tailored to customer environments.
• Create low-level design documents and detailed technical specifications to guide implementation teams.
• Develop and maintain reference architectures to standardize solution deployments across both direct customer implementations and partner-led projects.
• Prepare comprehensive technical documentation, including architecture diagrams, design specifications, and implementation plans
• Ensure solution designs adhere to security, compliance, and scalability best practices.

Project Definition & Estimation

• Work with Project Managers and stakeholders to define project scope, deliverable, timelines, and resource requirements.
• Provide level-of-effort estimations to support project planning and resource allocation.

Implementation Support & Technical Leadership

• Provide technical oversight during solution deployment and post-sales implementation.
• Assist in proof-of-concept (PoC) projects and technical workshops to validate solution architectures.
• Support and guide partner-driven deployments, ensuring they follow Veeam’s best practices and technical standards.
• Support troubleshooting efforts and resolve complex implementation challenges.

Collaboration & Stakeholder Engagement

• Work closely with Pre-Sales, Sales, and Customer Success teams to ensure a smooth handover from pre-sales engagements to deployment.
• Engage with customers, partners, and internal teams to ensure successful solution adoption.
• Serve as a trusted technical advisor, translating business objectives into effective technical strategies.
• Communicate technical details effectively with both technical and non-technical stakeholders

Continuous Improvement & Technology Innovation

• Evaluate emerging technologies (especially in containers, security, and hybrid cloud) to enhance solution architectures.
• Contribute to the development and update of internal best practices and technical standards. improving delivery efficiency and partner enablement.

What You’ll Bring

• IT experience, including in a solution architecture or technical leadership role.
• Deep expertise in data protection, backup & recovery, disaster recovery (DR), and cybersecurity.
• Hands-on experience with containers (Docker, Kubernetes) and container security in enterprise environments.
• Strong technical knowledge of virtualization (VMware, Hyper-V), cloud platforms (AWS, Azure, GCP), and storage systems.
• A record of leading transformation projects for large enterprise customers, ensuring technical solutions support business-wide digital evolution.
• Strong understanding of networking, security, compliance frameworks (ISO 27001, NIST, etc.), and IT governance.
• Excellent problem-solving, analytical, and communication skills with a strong ability to work with both technical and non-technical stakeholders.
• Experience working in a post-sales consulting, professional services, or solution delivery role with direct customer engagement
• Frequent collaboration with internal teams (Professional Services, Pre-Sales, Sales, Partners).
• Customer and partner engagement, ensuring alignment between business objectives and technical solutions.
• Potential travel to support global enterprise deployments (up to 50%)

Bonus Skills

• Experience with automation & scripting (PowerShell, Python).
• Familiarity with large-scale IT infrastructure deployments.
• Proven ability to work autonomously and drive innovation.
• TOGAF (or equivalent enterprise architecture certification) – preferred.
• Veeam VMCE – preferred.
• Relevant certifications in cloud, security, or virtualization, such as:
  • AWS/Azure Solutions Architect
  • VMware VCP
  • CISSP (Cybersecurity Certification)

Please note: If an applicant is permanently located outside of Saudi, Veeam reserves the right to decline the application for this position.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Job Summary

Design, develop, and maintain backend services and APIs that power Hala services web and mobile platforms.
Build and optimize scalable, secure, and high-performance systems to support growing user and data demands.

Key Responsibilities

• Design, develop, and maintain backend services and APIs that power Hala services web and mobile platforms.

• Build and optimize scalable, secure, and high-performance systems to support growing user and data demands.

• Collaborate closely with product managers, frontend engineers, and other teams to define technical requirements and deliver end-to-end solutions.

• Integrate with third-party systems, internal APIs, and external services to enable seamless functionality.

• Write clean, maintainable, and testable code following best practices and team standards.

• Implement authentication, authorization, and data protection mechanisms to ensure system security and integrity.

• Contribute to architecture discussions and technical design reviews to ensure scalable and future-proof backend solutions.

• Monitor system performance, identify bottlenecks, and implement performance improvements.

• Participate in code reviews, mentoring, and continuous improvement of engineering processes.

• Collaborate in deploying and maintaining services in staging and production environments (e.g., via CI/CD pipelines).

• Support troubleshooting, debugging, and resolving production issues in a timely manner.

Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

• Experience: 1+ years of backend development experience in a production environment.

• Strong proficiency in one or more backend languages (.NET, Node.js, Python, Go, or Java).

• Experience with RESTful APIs and/or GraphQL design and development.

• Solid understanding of microservices architecture and event-driven systems.

• Familiarity with databases (SQL and NoSQL), such as PostgreSQL, MySQL, MongoDB, or Redis.

• Hands-on experience with cloud platforms (OCI, AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

• Knowledge of CI/CD pipelines, automated testing, and modern DevOps practices.

• Understanding of security principles, authentication (OAuth2, JWT), and data privacy best practices.

• Excellent problem-solving skills, teamwork, and communication abilities.

• Strong focus on performance, scalability, and reliability.