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

As an Enterprise Sales Representative, you will drive SentinelOne’s expansion across the Emirates by winning new enterprise accounts and leading high-stakes, complex sales cycles. You will act as a strategic advisor to senior decision-makers, leveraging a consultative approach and the MEDDICC framework to translate our technical innovations into clear, quantifiable business value. By building a robust pipeline through partner ecosystems and internal collaboration, you will play a pivotal role in strengthening our market presence and execution within this high-growth region.

What will you do?

• Develop and expand direct sales opportunities within enterprise accounts across Saudi Arabia.
• Build and nurture strong, long-term relationships with key stakeholders and decision-makers.
• Lead complex sales cycles and present SentinelOne’s cybersecurity solutions to senior executives, supported by a dedicated sales engineer and channel partners.
• Drive growth through partner-led initiatives, including managed security services and strategic alliances.
• Collaborate closely with marketing and product teams to design and execute effective lead generation and go-to-market campaigns.
• Consistently uphold sales excellence by following best practices and ensuring operational discipline.
• Represent and champion SentinelOne’s technology in the broader market, building awareness and credibility.
• Participate in key industry events, occasionally presenting to showcase our vision and innovation.

What skills and knowledge will you bring?

• Fluent written and spoken English and Arabic, with the ability to communicate effectively across all levels of an organization.
• 8+ years of consistent, above-quota sales success, ideally as a regional sales executive or manager selling enterprise or endpoint security solutions.
• Proven enterprise sales experience with established relationships and an actionable network of senior decision-makers.
• Strong understanding of modern cybersecurity solutions and the ability to translate technical value into business impact.
• Excellent presentation and communication skills, both internally and externally, with confidence in engaging C-level executives.
• Experience collaborating with channel partners and a solid grasp of a channel-centric go-to-market approach.
• Exceptional organizational, forecasting, and reporting abilities, ensuring accuracy and accountability.
• Hands-on experience in scaling sales enablement to support growth in a fast-moving, competitive environment.
• Driven, curious, and passionate about cybersecurity, with a “whatever it takes” mindset to achieve and exceed goals.
• Bachelor’s degree, or equivalent practical experience.

Why us?

At SentinelOne, you’ll join a fast-paced, international Sales Team focused on driving real impact. You’ll work with talented colleagues from around the world, and develop your skills in a dynamic, innovative environment. We offer strong career growth opportunities, excellent training, and a fun, collaborative culture.

We also provide a range of benefits to support your success, including:

• 3-month non-recoverable draw and uncapped commission
• Private Medical Care for you and your family, along with an annual flight home
• Transportation, housing, and education allowances
• Flexible Time Off policy to recharge when you need it
• Choice of a high-end MacBook or Windows laptop, plus home-office setup support
• An additional volunteer day each year and 4+ Wellness Days for self-care and mental health
• Global, gender-neutral parental leave and grandparent leave for life’s important moments
• Access to a confidential Employee Assistance Program (EAP) offering mental health support
• Full access to LinkedIn Learning for professional development
• Full access to Wellness Coach, a mental well-being and fitness app
• Opportunities to connect and grow through our Company Inclusion Networks and Mentor Program

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 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 Armada

Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.

Saudi Arabia is Armada’s operational anchor for the ME region. As we scale, we are intentionally building a team of senior, versatile operators who can both get systems live and own customers long-term. This role is designed for engineers who want full lifecycle ownership, not narrow scope.

Role Overview

The Senior Forward Deploy Engineer is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership for Armada customers across ME. This role combines the intensity and depth of a Forward Deploy Engineer with the long-term customer ownership of a Technical Account Manager.

In the early phases of customer engagement, this role leads deployments, platform bring-up, and initial workload execution. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, and expansion.

This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid split ownership between deployment and post-sale success. Success is measured by speed to production, customer confidence, platform adoption, retention, and expansion.

Key Responsibilities

Deployment execution and platform bring-up

• Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
• Own on-site and in-country deployments across Saudi Arabia and the broader ME region
• Own infrastructure bring-up, platform configuration, and production readiness validation
• Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers

Technical account ownership and customer success

• Serve as the primary technical point of contact for assigned customers post go-live
• Own the technical success plan, adoption milestones, and operational maturity roadmap
• Build trusted, long-term relationships with customer engineering, IT, OT, and security team
• Lead technical governance discussions, roadmap planning, and platform optimization conversations

Joint Success Plan ownership

• Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
• Align deployment milestones, platform adoption, and operational maturity to customer business objectives
• Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
• Regularly review progress against success plans with customer stakeholders and Armada leadership
• Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
• Surface risks, dependencies, and blockers early and drive resolution with clear ownership

Time-to-value acceleration and adoption

• Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
• Drive adoption across new workloads, business units, and countries
• Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS

Operational excellence and reliability

• Ensure customer environments remain stable, secure, and production-ready
• Proactively identify scaling risks, architectural gaps, and technical debt
• Coordinate with Product, Engineering, and Support teams to resolve issues efficiently

Sovereign data, security, and compliance execution

• Operate confidently within Saudi and regional sovereign data and security requirements
• Support security validation, audits, and governance processes as required by customers
• Maintain disciplined access control, documentation, and operational hygiene

Field leadership and mentorship

• Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
• Mentor junior FDEs, TAMs, and delivery engineers as the region scales
• Contribute to deployment standards, runbooks, and repeatable best practices

Cross-functional collaboration

• Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on customer priorities and escalations
• Work with Sales on expansion planning while maintaining a trusted post-sale posture
• Provide structured feedback to Product and Engineering based on real customer usage

Qualifications and Experience

• 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
• Proven ability to own both hands-on delivery and long-term customer technical relationships
• Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
• Strong troubleshooting skills in live, production environments
• Experience working directly with customers in regulated, high-stakes settings
• Willingness to travel across Saudi Arabia and the broader ME region
• Clear, confident communication style suitable for executive and engineering audiences

Preferred Experience

• Experience with edge compute, modular data centers, or distributed infrastructure
• Familiarity with AI workloads, GPU clusters, and high-performance computing environments
• Exposure to sovereign or national-scale customer environments
• Experience operating in Saudi Arabia, UAE or across ME
• Comfort operating with ambiguity and owning outcomes end to end

What Success Looks Like

• Customer environments reach production quickly and operate reliably
• The same engineer who deploys the platform remains the trusted technical owner
• Adoption expands across sites, workloads, and teams without handoff friction
• Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership

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.

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.

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…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven experience designing and implementing cloud architectures on Azure at scale
• Strong expertise in cloud security, networking, and compliance frameworks.
• Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
• Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
• Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
• Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
• Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
• Strong leadership capabilities with experience managing technical teams and large-scale projects.
• Excellent verbal and written communication skills, including experience creating business-focused presentations.
• Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
• Experience managing senior stakeholders and navigating client discussions effectively.
• Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
• A track record of contributing to business growth through technical innovation and strategic initiatives.

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…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven track record in architecting and deploying large-scale Google Cloud solutions
• Deep expertise in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)
• Designed end-to-end GCP environments that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL
• Defined global DR/HA strategies using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads
• Architected end-to-end data pipelines—built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.
• Designed scalable data models in BigQuery—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.
• Orchestrated and scheduled workflows leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.
• Automated infrastructure lifecycle via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency
• Mastery of cost control in GCP: committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience
• Partnered with data teams to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms
• Proven leadership in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery
• Exceptional communicator, adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy
• Strong problem-solver, experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains
• Skilled at stakeholder management, from technical deep dives with engineering teams to strategic discussions with C-level executives
• Mentorship & coaching: developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism
• Business growth driver, recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations

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

Your Impact
Axon is the developer and manufacturer of conducted electrical weapons, body worn cameras, and digital evidence management solutions. By successfully applying technical solutions to age old problems in digital video capture, the Axon team has redefined public and private sector technology around the globe. We are a team of passionate and dedicated professionals who desire to disrupt our industry and protect life with our products. Axon is seeking a high-energy, results driven pre-sales sales engineer who thrives on pitching technology to leadership as well as support staff and end-users. This individual will play an instrumental role in accelerating our sales initiatives and must be a self-starter, who excels in a high-paced, evangelistic startup environment focused on Law Enforcement and the public safety space.

What You’ll Do
Location: Saudi Arabia, travel up to 70% of time
Reports to: Sr Manager, Emerging Markets

• Achieve mastery of all Axon technologies / products
• Use exceptional written and oral communication skills to lead business and technical presentations effectively
• Have technical conversations with IT departments, including CIOs, as well as channel partner leadership and technical stakeholders
• Set and manage expectations with customers and team members
• Provide 1st-level technical support throughout the pre-sales cycle for opportunities
• Remain organized and focused on removing sales obstacles through creativity and adaptation to rapidly changes circumstances
• Develop relationships with key partners for growth within their customer base
• Effectively position the technology against competitive offerings
• Be responsible for representing the products, company values, and brand to customers and at field events such as industry and user conferences, tech summits, etc.
• Take ownership of the POC/Pilot process: Coordinate logistics across all stakeholders, assess customer requirements/objectives, and tailor POC tests and findings, accordingly, assist prospects with initial configuration and orientation
• Where possible, improve or develop technical documentation to ease understanding and customer or channel usage of our products and services
• Capture requested features and provide feedback to Product Management, Sales, Development, Support, Engineering and Marketing teams
• Develop Statements of Work (SOW) for Professional Services necessary for binding quote
• Perform other duties and projects as assigned

What You Bring

• Willingness to travel;
• Fluent English and Arabic, French is a plus;
• Assist Sales with presentations and analysis to enlarge customer portfolio;
• Training new employees;
• Document translation & verification for new products Axon brings to the market
• Assist Sales Executives in commercial offer documentation
• Educational background:
• Associates degree in Engineering or Computer Science (or equivalent field), or 5+ years relevant experience.
• Professional background:
• 4+ years customer facing pre-sales or consulting background required
• 3+ years of experience with public procurement in META
• Experience selling SaaS based solutions
• Experience in End User Compute or Cloud Computing preferred
• Experience in networking, storage, virtualization, or related technologies
• Must have intellectual curiosity, humility, accountability and positive approach;
• Strong Technical Writing skills to provide professional responses to customer RFPs / RFIs
• Basic knowledge or curiosity of security, IPsec, InfoSec, hacking and exploitation tools and methodologies.
• Basic knowledge of computer hardware, operating systems, and storage devices.
• Ability to work independently with substantial latitude for action and decision making while maintaining focus on achieving optimal outcomes as part of a collaborative development effort.
• Requires the ability to work independently with substantial latitude for action and decision making while maintaining focus on achieving optimal outcomes as part of a collaborative development effort.
• Strong presentation skills and presence, technical acumen, ability to simplify the complex, ability to work cross-functionally.
• Experience developing Statements of Work (SOW) or similar documents
• Intermediate knowledge of routing and switching methodologies, telecommunications, and Internet technologies.
• Basic knowledge of virtualization and cloud technologies
• Network and Telecommunication-specific professional certifications, such as but not limited to: CCNA, CCNP, ComTIA Network+, WCNA, etc..
• Experience with Law Enforcement technology solutions and public procurement is a plus

*Please submit your Resume in English.

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.

About the Job:

We are currently seeking a Security Systems Engineer with in-depth expertise in SAIS/HCIS and RCU RIMA-compliant physical security systems. Based in the Kingdom of Saudi Arabia, the successful candidate will support a range of security engineering tasks across major infrastructure projects, including the design, documentation, construction supervision, and commissioning of integrated security and telecommunications systems. The role involves hands-on technical leadership, client interaction, and multidisciplinary collaboration across various sectors such as Oil & Gas, heritage sites, transportation, and critical infrastructure.

What You’ll Do:

As a Security Systems Engineer, you will lead the design, documentation, and implementation of integrated physical and electronic security systems aligned with SAIS/HCIS and RCU RIMA standards. You will be responsible for delivering engineering solutions across the full project lifecycle—from concept through commissioning—while providing technical leadership and supporting collaboration with clients, vendors, and internal teams.

Key responsibilities include:

• Develop Concept, Preliminary, and Detailed Designs along with supporting drawings, documentation, and system specifications.
• Oversee construction supervision and commissioning of systems such as CCTV, IDAS, PIDS, SACS, ALPR, UVIS, VSS, VMS, PSIM, and related infrastructure.
• Respond to client technical queries and clarify design intent, integration requirements, and compliance standards.
• Create scopes of work, support tendering and evaluate technical and financial deliverables from third-party contractors.
• Utilize AutoCAD and/or MicroStation to produce or review detailed engineering drawings.
• Coordinate technical meetings with clients, consultants, and stakeholders to resolve design issues.
• Perform peer reviews of design packages to ensure quality, accuracy, and adherence to project requirements.
• Support documentation and administrative needs using cloud-based systems in line with company protocols.
• Participate in site visits and ensure technical alignment across all phases of project execution.

What’s Required:

• Bachelor’s degree in Engineering, preferably Electronics & Communications; an advanced degree is preferred.
• Strong experience with the design and implementation of integrated security systems and technologies aligned with SAIS/HCIS and RCU RIMA standards.
• Experience in industrial projects (Oil & Gas, Infrastructure, Historic Sites, Transport, etc.).
• Proficiency in AutoCAD and MS Office Suite; experience with MicroStation is preferred.
• Excellent knowledge of physical and electronic security technologies, including system integration.
• Strong understanding of project lifecycles including design, construction, commissioning, and close-out.
• Skilled in reviewing technical specifications and ensuring compliance with local and international standards.
• Strong communication, organizational, and analytical skills.
• Fluent in English (spoken, written, and read); Arabic is a plus.
• Willingness to travel domestically and internationally as needed and collaborate across time zones.

What’s Preferred:

• Hands-on experience with specialized systems such as drone detection, RFID tracking, and ViMS.
• Demonstrated ability to lead technical meetings, contribute to design reviews, and represent engineering work to clients and stakeholders.
• Experience supporting government or heritage security infrastructure projects.
• Confidence in representing the company with external vendors, contractors, and partners.

Health, Safety & Environmental (HSE) Responsibilities:

• Comply with all workplace safety policies and use of personal protective equipment (PPE).
• Participate in HSE risk assessments and incident reporting.
• Ensure safe practices are followed during site visits, construction, and commissioning.

Additional Responsibilities:

• Provide administrative support and documentation management per company standards.
• Participate in cross-functional team coordination and continuous improvement initiatives.
• Demonstrate initiative, ownership of tasks, and a commitment to delivering high-quality results.
• Uphold strict confidentiality and act with professionalism and integrity.

Effort & Working Conditions:

• Must be able to work in both office and construction site environments.
• Physical activities may include walking, standing, or bending for extended periods and wearing PPE.
• May involve work in high-security or classified environments.

Salary & Benefits:

• Competitive salary and benefits in line with KSA labor laws.
• Includes housing, transportation, telecommunications, medical insurance, and gratuity.
• Professional Development support, including reimbursement of up to two professional membership fees per year, relevant to the role or advancement opportunities within AcuTech.