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

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 potential should be stretched early.

Our Flagship Builders Internship & Co-Op track is crafted for students who don’t want a passive internship but a real seat at the table. If you’re hungry to apply what you’ve learned, in a fast-moving, high-performance environment, this is where you begin.
Built for current students seeking internship or co-op opportunities, this track immerses you in meaningful, hands-on work across Product, Engineering, Design, and beyond giving you real ownership, not just exposure.
You’ll contribute to real projects and solve real problems, gaining the kind of exposure that most early-career experiences simply don’t offer. We treat interns and co-op students as future builders, because in many ways, they already are.

With our January and June cohorts, you’ll gain more than experience. You’ll gain momentum.

About the Role

As a Product Engineer Intern, you will contribute to real squads building products that millions of users rely on to shop, pay, and bank. This is not a traditional software engineering internship — you will be expected to develop across all five competency pillars of Tamara's Product Engineering career framework:

Impact & Scope — Individual tasks and learning-focused contributions within a squad

You will work on well-defined tasks and small features within a squad, paired with a mentor who provides clear requirements and established patterns. Your primary focus is learning how your work fits into the broader product and building the habits needed to operate as an independent contributor.

Technical Capabilities — Building foundational engineering skills

You will begin developing core programming competencies, learn to write clean code with guidance, and start becoming familiar with the codebase, tools, and development workflows used at Tamara. You are not expected to be an expert — you are expected to be curious, ask questions, and grow quickly.

Product Thinking — Understanding the "why" behind your work

You will learn how Tamara's business model works and gain an understanding of your team's domain. For every ticket you pick up, you'll be encouraged to understand the user story behind it — not just what to build, but why it matters to the customer.

Delivery & Execution — Owning your tasks end-to-end

You will take ownership of your assigned tasks — making sure they meet acceptance criteria, are code-reviewed, well-tested, and merged. When you hit a blocker or a gap in understanding, you'll proactively ask for help rather than stay stuck.

Developing Self & Team — Growing fast and contributing to the team

You will focus on continuously enhancing your technical skills while embracing new knowledge and learning opportunities. You'll collaborate effectively with your team, ask good questions, and contribute to process improvements — influencing collective growth from day one.

Your Responsibilities

• Deliver well-defined tasks and small features within a squad, following established patterns and guidance from your mentor.
• Write clean, readable code and participate in code reviews to learn team standards and best practices.
• Understand the user stories and product context behind the tickets you work on — connect your technical work to customer impact.
• Take ownership of your tasks through the full lifecycle: development, testing, review, and merge.
• Proactively flag blockers, ask clarifying questions, and seek feedback to accelerate your learning.
• Contribute to a collaborative team environment by sharing learnings, offering constructive feedback, and staying open to input from others.
• Stay curious about Tamara's business model, your team's domain, and emerging technologies.

Your Expertise

• Currently undertaking a Bachelor's degree in Computer Science, Engineering, or a related field.
• Basic understanding of programming concepts and willingness to learn languages and frameworks used at Tamara (Java or Golang).
• Foundational understanding of databases and SQL.
• Strong problem-solving abilities with attention to detail.
• A product-minded approach: genuine curiosity about why things are built, not just how.
• Effective communication skills and ability to collaborate within a team.
• High motivation and commitment to continuous learning and development.
• Proficiency in written and spoken English communication.

Growth Path

This internship is designed as a launchpad into Tamara's Product Engineering Ladder. High-performing interns will automatically get the option to continue as an Associate Product Engineer role, where you will be expected to:

• Independently deliver well-defined tasks within a squad.
• Understand basic programming concepts and apply them with growing autonomy.
• Grasp the overall Tamara business model and your team's domain.
• Take full ownership of your tasks from development through merge.
• Contribute to team growth by questioning, learning, and improving processes.

All qualified individuals are encouraged to apply.

About Us

Tamara is the leading fintech platform to shop, pay and bank in Saudi Arabia and the wider GCC region, and Saudi’s first fintech unicorn. Tamara’s mission is to empower people in their daily lives and revolutionize how they shop, pay, and bank. Tamara serves millions of users in KSA, UAE, and Kuwait, and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA, eXtra, and Farfetch as well as thousands of SMEs. Tamara is backed by Sanabil Investments, SNB Capital, Checkout.com, amongst others.

Your Role

We are seeking a dedicated Application Support Engineer to join our Technical Support team. In this role, you will be responsible for investigating, troubleshooting, and resolving technical issues reported by customers and merchants, while maintaining high standards of service quality. This will include using SQL to query databases, analyze data, and identify root causes for issues.

You will work with cross-functional teams, including Engineering, Product, and Customer Support, to identify root causes, develop solutions, and ensure continuous improvement in system functionality and user experience.

You will excel in this role if you are a proactive problem-solver with strong SQL skills, excellent communication abilities, and a passion for learning. You should be comfortable working in a fast-paced environment, managing multiple priorities, and delivering timely, accurate support.

Your Responsibilities:

• Respond promptly to frontline agents on inquiries via ticketing system, providing technical assistance and guidance.
• Identify and troubleshoot technical issues reported by Customers and Merchants, escalating complex problems to product teams and Senior Engineers when necessary.
• Maintain ownership of escalated cases until resolution, ensuring timely follow-up and user communication.
• Document issue details, investigation steps, resolutions, and lessons learned in a structured and clear manner.
• Contribute to knowledge base content, including troubleshooting guides, FAQs, and technical documentation.

Your Expertise:

• Bachelor’s degree in Computer Science, Information Technology, or related field preferred.
• Previous experience in technical support roles is required.
• Advanced understanding and experience in SQL.
• Strong problem-solving skills and a willingness to learn new technologies.
• Excellent communication skills, both written and verbal, with the ability to convey technical information clearly and effectively to non-technical users.
• Customer-focused mindset with a dedication to providing exceptional service and support.
• Ability to work independently as well as part of a team in a fast-paced environment.
• Proficiency in using support ticketing systems and other relevant software tools.

All qualified individuals are encouraged to apply.

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 Tamara's Builders 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 AI Engineer on a builder track.

This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.

You’ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.

Your responsibilities

• Build AI products that ship
  • Design and implement AI-powered features and internal tools.
  • Integrate models into real systems (APIs, workflows, dashboards, and operational processes).
• Work with LLMs in a production-ready way
  • Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.
  • Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).
• Own evaluation and quality
  • Define what “good” means: success metrics, offline tests, and human-in-the-loop review.
  • Set up evaluations for quality, safety, latency, and cost.
• Make AI reliable and safe
  • Add observability: logging, tracing, and monitoring for quality regressions.
  • Implement privacy and security controls (PII handling, access control, redaction where needed).
  • Participate in incident response and postmortems when AI systems misbehave.
• Partner across teams
  • Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.
  • Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.
• Use AI tools thoughtfully
  • Use AI assistants for prototyping, debugging, and documentation.
  • 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 backend services.
• Strong foundations in:
  • Software engineering basics (APIs, testing, reliability)
  • Data handling (SQL and/or dataframes)
  • ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)
• Clear communication and a collaborative approach.

Nice to have

• Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).
• Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).
• Exposure to MLOps concepts (experiment tracking, model registry, monitoring).
• Familiarity with vector databases, search, or information retrieval.
• Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).
• Experience using AI assistants responsibly for coding and analysis.

What success looks like

• You ship at least one AI feature or internal tool that is used by real users.
• You set up a simple evaluation and monitoring loop so the system improves over time.
• Your solutions balance quality, latency, and cost, with clear tradeoffs.
• When the AI output is wrong or risky, you can debug, mitigate, and explain why.

All qualified individuals are encouraged to apply.

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:
This role interfaces with the client directly and is responsible for planning, scoping, and implementing the Dragos Platform in customer environments. Be part of a hands-on and onsite team at power plants, substations, manufacturing floors, and refineries (to name a few), while performing installations and assisting our customer partners in monitoring and safeguarding their infrastructure. 

*This is an onsite role located in Dammam, Saudi Arabia*

Responsibilities: 

• Collaborate with Dragos Sales and Solution Architect teams to understand customer use cases and success criteria 
• Works closely with client’s teams on network architecture, sensor placement, and integrations for the deployment of new sensors; coordinate and conduct deployments 
• Partner with client’s teams to refine applicable use cases and Dragos platform objectives 
• Tune and optimize Dragos platform to meet defined customer objectives 
• Develop content and build foundational workflows based on client use cases and value proposition 
• Monitor the health of the Platform solution to ensure continuous Platform availability and continuously tune and optimize the Dragos Platform 
• Coordinate upgrades, patches, and other configuration changes to the Platform solution 
• Provide knowledge transfer and training to enable key stakeholders, document processes 
• Provide troubleshooting and break/fix support for the Platform, manage escalations 
• Communicate roadmap of upcoming features and content with the client and conduct new release feature walkthroughs as needed 
• Continually solicit client feedback on feature requests and improvements 
• Coordinate and collaborate with other Dragos teams/services (Intel, Threat Hunting) 
• Identify opportunities for other Dragos products and services 

Qualifications: 

• 3+ years of ICS/OT experience, Cybersecurity experience a plus 
• Networking experience – Strong knowledge of IP networks, OSI model, Purdue model, and ICS protocols 
• Experience with Linux (command line), Docker, scripting languages (python, shell, etc.), SIEMs 
• Experience in on-premise and cloud software solutions for Enterprise while managing multiple stakeholders and projects 
• Customer-oriented and attentive to client needs, with strong interpersonal and communication skills 
• Willingness to travel up to 25% 

Compensation: 

• Salary: SAR 600,000
• Competitive Equity Package  
• Comprehensive Benefits Plan 

#LI-NH1 

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.