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

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.