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

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. 

We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

• Developing custom AI applications
• Building custom LLMs
• Providing high-quality training data for research and government institutions building LLMs
• Developing partnerships to foster regional talent growth and AI adoption

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.

You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. 

Responsibilities: 

• Lead design workshops with the client to define custom AI solutions 
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications: 

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products 
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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 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. 

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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 Data Platform Engineer on a builder track.

This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.

With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.

Your responsibilities

• Build and maintain the data platform
  • Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
  • Keep the platform reliable, observable, and ready to scale.
• Build robust pipelines (ELT/ETL + event-driven)
  • Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
  • Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
  • Improve pipeline performance, cost, and reliability.
• Make the platform easier every week
  • Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
• Enable analytics and AI use cases
  • Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
  • Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
• Partner with stakeholders
  • Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
• Keep data secure across boundaries
  • Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python, Java, Go, or similar.
• Strong SQL fundamentals.
• Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
• A problem-solving mindset and comfort debugging systems end-to-end.
• Clear communication and a collaborative approach.

Nice to have

• Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
• Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
• Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
• Basic Terraform/IaC and CI/CD familiarity.
• Experience using AI assistants responsibly for coding, debugging, and documentation.

What success looks like

• You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
• You can debug a data issue from source to downstream consumption with clear root cause and fix.
• Teams can onboard to data sources faster, with better documentation and fewer manual steps.
• Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).

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.

About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

Your role

We're seeking a Fraud Operations Investigator for our Fraud team. As a Fraud Investigator, you will be crucial in monitoring and investigating suspicious transactions and activities to help protect the company and customers from financial losses and reputational damage. This is from both Merchant or Customer side.

Drawing on your proficiency in uncovering harmful activities through in-depth investigations and clear reports, you will be responsible for proactively reaching out to customers and merchants to confirm crucial details and ensure smooth transactions to create unique experiences only Tamara can provide. 

With a proven track record of analyzing complex data with precision, extracting valuable insights through keen observation, connecting effectively across cultural and communication styles, fostering teamwork and success, and ultimately revolutionize the way millions of users shop, pay, and bank.

You are a driven, determined, curious team player, knowing that collective strength means we all win. With a positive outlook, you are solution-oriented–persevering regardless of circumstances, always finding a way through, no matter the challenges. 

You will effectively find a way to work with everyone through empathy and respect. You will be driven and comfortable with responding quickly with urgency, with the ability to change course without losing momentum and energy, resulting in great success.

Responsibilities

• Monitor and analyze transactions and activities to identify potential fraud, money laundering, or other criminal activities utilize data analysis, statistical modeling, and fraud detection tools to identify suspicious patterns, trends, and anomalies in financial transactions. 
• Investigate suspicious activities and prepare detailed reports of findings.
• Collaborate with other teams to implement fraud prevention measures and improve overall security.
• Stay up-to-date with industry trends and developments in fraud prevention techniques and technologies.
• Provide support and guidance to other team members as needed.
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Qualifications

• Bachelor's degree in a related field or equivalent experience
• Knowledge or Excel, SQL and Python is preferred
• 1 to 3 years of experience in fraud prevention or investigation on either Consumer or Merchant side.
• Strong analytical skills and attention to detail
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Fluency in English and Arabic

All qualified individuals are encouraged to apply.

Job Summary:

We are seeking a Purple Teaming Engineer with hands-on experience in both offensive and defensive security, with a focus on embedded systems. 

The ideal candidate will have practical experience with SOC operations, adversary simulation, detection engineering, and security testing across embedded or cloud-connected systems.

You will play a key role in executing threat emulation, automating adversary TTPs, and enhancing detection capabilities in collaboration with Red and SOC team.

Experience with vehicle SOC and security operations is a plus.

Key Responsibilities:

• Operationalize Purple Team and Attack Simulation exercises across embedded and cloud-connected systems.

• Develop and execute adversary simulation plans that align with threat intelligence.

• Collaborate with Red and Blue teams to identify detection gaps and improve SOC effectiveness.

• Identify relevant log sources across assets, ECUs, and infrastructure; document the type, location, and format of logs required for effective cybersecurity anomaly detection.

• Regularly review the availability, completeness, and integrity of logs; highlight gaps and work with asset/ECU owners to ensure alignment with best security logging practices.

• Share recommendations with system and asset owners on required logging improvements, event visibility, and adherence to secure logging practices.

• Support offensive testing across RTOS, Linux, Android, and MCU-based systems. 

• Draft and present technical reports and summaries of Purple Team activities to technical and management stakeholders.

• Communicate findings, detecting weaknesses, meeting the logging requirements and prioritized remediation strategies. Collaborative Objectives:

• Work closely with SOC & Red teams to convert threat intel into actionable TTPs and test cases.

• Support SOC operations and help validate detection logic with real-world simulations.

• Assist in control validation, SIEM optimization, and threat modeling automation.

• Provide mentorship to junior team members on simulation workflows and embedded systems.

• Contribute to the ongoing development of the team’s offensive and defensive testing capabilities.

Required Qualifications:

• Bachelor's Degree in Cybersecurity, Information Security, Computer Science, or Information Technology and at least 5 years of professional experience.

3–6 years of combined experience in Red Teaming, SOC, detection engineering, or embedded security testing.

• Strong knowledge of MITRE ATT&CK, threat simulation tools, and detection principles.

• Experience working with embedded Linux, Android systems, RTOS, or MCU platforms.

• Familiarity with SIEM systems (e.g., Splunk, ELK), log analysis.

• Proficiency in scripting/automation using Python.

• Exposure to network security, including packet analysis and custom protocol fuzzing.

• Exposure with vehicle communications (CAN, UDS, DoIP, BLE, MQTT, etc.).

• Strong technical writing and communication skills for documentation and stakeholder engagement. Preferred Qualifications:

• Experience in vehicle cybersecurity/SOC or embedded threat detection.

• Familiar with tools like Burp Suite, Ghidra, Binwalk, or custom fuzzers.

• Experience simulating or detecting low-level attacks, including firmware tampering, memory corruption, and secure boot bypasses.

• Understanding of cloud security architecture related to embedded platforms.

• Working knowledge of SIEM solutions, telemetry pipelines, and threat hunting frameworks.

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.

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.

Role Summary

We are seeking a Lead SOC Validation & Adversary Simulation Engineer to strengthen the effectiveness of our Security Operations Center (SOC / VSOC) by continuously validating detections, response workflows, and telemetry using adversary-informed testing techniques.

This role is SOC-owned and SOC-driven. The primary objective is to improve detection fidelity, reduce blind spots, and increase SOC readiness across vehicle, cloud, and other environments. Adversary simulation and Purple Team techniques are used as methods to harden SOC operations not as standalone Red Team activities.

Key Responsibilities

1. SOC Detection Validation & Assurance (Primary Focus)

• Own continuous validation of SOC detections across:
• Vehicle telemetry and in-vehicle IDS
• Telematics and backend services
• Cloud APIs, and other supporting systems
• Validate alerts against realistic attacker behavior, not synthetic rules
• Identify:
• Detection gaps
• Signal quality issues
• Excessive false positives or low-value alerts
• Partner with SOC engineers to improve alert logic, correlation, and response playbooks
1. Adversary Simulation in Support of SOC
• Design controlled adversary simulations to test SOC capabilities:
• API misuse and abuse
• Lateral movement
• Unauthorized diagnostics or ECU access
• Align scenarios to MITRE ATT&CK (Cloud API + Automotive)
• Coordinate with Red Team only when advanced exploitation is required
2. SOC Telemetry & Signal Engineering
• Work with platform and product teams to:
• Improve log coverage and quality
• Define high-value security signals
• Reduce noisy or redundant telemetry
• Influence what gets logged, where, and why—from ECUs to cloud services
• Help SOC prioritize telemetry based on risk and detection value
3. Incident Readiness & Response Validation
• Validate SOC incident response workflows through:
• Detection-driven exercises
• Tabletop scenarios informed by real attack paths
• Measure and improve:
• Mean Time to Detect (MTTD)
• Mean Time to Triage (MTTT)
• Mean Time to Respond (MTTR)
• Ensure SOC procedures align with real attack timelines
4. Threat Modeling & Risk Alignment
• Leverage TARA / threat-modeling outputs to prioritize SOC coverage
• Ensure SOC monitoring aligns with:
• ISO/SAE 21434
• UNECE R155/R156
• Translate detection gaps into risk-based narratives for leadership and auditors
• Support audit evidence by demonstrating validated monitoring effectiveness
5. Automation & Continuous SOC Validation
• Build or enhance SOC validation automation, including:
• Detection testing frameworks
• Alert replay and validation pipelines
• Coverage and maturity dashboards
• Integrate validation workflows into:
• SIEM
• SOAR
• CI/CD where applicable
• Reduce manual SOC testing and increase repeatability
6. Metrics, Reporting & Leadership Communication
• Define SOC-focused KPIs such as:
• ATT&CK coverage by detection
• Detection efficacy over time
• Reduction in blind spots
• Produce clear SOC maturity and readiness reports
• Communicate findings to:
• SOC leadership
• Product security
• Engineering stakeholders

Required Qualifications

Technical Experience

• Cybersecurity with strong SOC, detection engineering, or incident response experience
• Deep understanding of:
• SOC operations and alert lifecycle
• Detection engineering and signal tuning
• Adversary techniques and kill chains
• Experience working with:
• SIEM and SOC tooling
• Cloud and API monitoring
• Network and system telemetry
• Strong scripting or automation skills (Python, Go, C)

Leadership & Collaboration

• Proven experience leading SOC improvement initiatives
• Ability to influence detection priorities across teams
• Strong written and verbal communication skills
• Comfortable presenting to leadership and auditors

Our hosting team delivers InterSystems’ solutions as hosted or managed services, anywhere in the world.  As more and more clients change to hosted solutions, we are looking for junior and senior systems engineers to join the team and help us with delivering the high levels of availability, performance and security that our clients have come to rely on.

The role offers a fantastic opportunity to gain experience across a range of technologies, to solve interesting problems, to be allowed to make improvements, and to be recognized for making a difference.

Responsibilities - Deployment

• Work with our co-location partners to design appropriate cage, rack and server layouts and to ensure the ongoing provision of space, power and cooling in support of existing and forecasted solutions.
• Work with the engineering/architecture teams to design solutions so as to maximize performance, efficiency and operability of hosted solutions.
• Lead and/or participate in the provisioning and deployment of server, network and other hosting-related equipment, including hands-on build and configuration as/when required
• Participate in the deployment of new applications and/or changes, ensuring that all service components are documented and monitored and integrated into the company’s operational processes.
• Perform hardware qualification testing on new hardware platforms and certify them for production deployments.
• Work with stakeholders across the solutions lifecycle to ensure that pre-operational sign-offs are obtained, so as to ensure that solutions can be operated in a way that meets or exceeds performance targets e.g. security, availability and response times.
• Assist with the troubleshooting of integration issues.
• Consulting with technical stakeholders (including customers) on the delivery of hosted solutions.

Responsibilities – Operations

• Hands-on administration and maintenance of hosted solutions and related infrastructure (firewalls, switches, servers, storage, etc.) including pro-active identification and fixing of potential incidents, backup management, etc.
• Participate in the definition, documentation, operation and continuous improvement of operational processes e.g. ITIL-based processes such as incident, change, problem and configuration management, and the smooth integration of these with wider company processes and systems.
• Define, implement, monitor and report on metrics that are required for the delivery of highly-available hosted services, as well as to meet the needs of the wider organization e.g. management, engineering, customer services and our customers.
• Provide technical support for all areas of hosted services, including participation on a 24x7 on-call rota; ensure the timely resolution of incidents and/or problems affecting hosted solutions and deploy approved changes and/or updates as required.
• Further enhance the automation of hosting-related processes e.g. deployment of changes, deployment of new services, inventory management, security scanning, service level reporting, etc.

Experience & Qualifications

• Strong hands-on experience with server hosting (e.g. data center) infrastructure and (ideally) management with Cisco UCS blades
• Hands-on storage/SAN deployment and (ideally) management experience with EMC Unity, Data Domain, Avamar. Dell D?
• Hands-on Cisco and F5 networking deployment and management experience with Cisco Nexus 7000/9000, ASA Firewalls, F5 LTM and DNS load balancers, route domains and contexts. Active Directory/Windows – More Linux > Windows
• Hands-on VMware deployment and management experience with VMware 6.x/7.x 8
• Hands-on Linux deployment and management experience with RHEL 7.x
• Hands-on Windows domain and AD management experience
• Strong troubleshooting skills
• Strong scripting skills
• Enthusiasm and talent for acquiring complex technical skills
• Good customer service attitude
• Knowledge of service monitoring and alerting (Nagios, Cacti preferred)
• Knowledge of configuration management (Puppet and/or Red Hat Satellite preferred)
• Scripting for automation using technologies (e.g. Powershell, Puppet, Ansible, Python)
• ITIL knowledge – principles and application
• Ability to support and develop junior colleague

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.