<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.</div><div> </div><div>We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.</div><div> </div><div>Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.</div></div><p>We are seeking a highly motivated and detail-oriented Cloud Engineer to join our Powertrain Data and Automation team. The ideal candidate will have experience in deploying microservice architectures in AWS, managing hybrid on-premises and cloud-based data and service deployments, and building resilient and scalable data infrastructure. This is an exciting opportunity to work on cutting-edge cloud technologies and gain valuable experience in a fast-paced and innovative environment.</p><p><strong>Responsibilities</strong></p><ul><li>Design, implement, and maintain microservice-based architectures within AWS.</li><li>Manage hybrid deployments of data and services across on-premises and cloud environments.</li><li>Develop and optimize resilient and scalable data infrastructure to support big data initiatives.</li><li>Utilize and manage AWS services such as S3, VPC, EKS, Kubernetes, EC2, and Auto Scaling to deliver reliable solutions.</li><li>Implement Infrastructure as Code (IaC) using tools like CloudFormation templates or other IaC languages.</li><li>Develop, deploy, and maintain alerting systems to ensure high availability and performance using CloudWatch and other monitoring tools.</li><li>Develop, standardize, and contribute to DevOps processes, including CI/CD pipelines and GitLab Runners.</li><li>Leverage the Elastic Search stack (ELK) with tools like Filebeat, Metricbeat, and Logstash for observability and log management.</li><li>Deploy and maintain unit and integration tests to ensure system reliability and performance.</li></ul><p><strong>Qualifications</strong></p><ul><li>3-5 years of experience in a cloud engineering role.</li><li>Proven experience deploying microservice architectures in AWS.</li><li>Experience working with hybrid on-premises and cloud-based deployments.</li><li>Hands-on experience with big data technologies and implementing scalable data infrastructure (spark, iceberg, kafka, airflow).</li><li>Proficiency in relevant tools and platforms including AWS S3, VPC, EKS, Kubernetes, EC2, Auto Scaling, CloudWatch, and CloudFormation templates.</li><li>Familiarity with DevOps practices and CI/CD tools such as GitLab Runners.</li><li>Understanding of the Elastic Search stack (ELK) and associated tools like Filebeat, Metricbeat, and Logstash.</li><li>Experience with monitoring and alerting platforms.</li><li>Knowledge of unit testing and integration testing best practices.</li></ul><p><strong>Education</strong></p><ul><li>Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.</li><li>CKA (Certified Kubernetes Administrator) strongly preferred</li><li>CKAD (Certified Kubernetes Application Developer) strongly preferred.</li></ul><p><strong>Nice to Have</strong></p><ul><li>Experience working with manufacturing data and infrastructure, particularly in the automotive sector.</li><li>A strong understanding of industry-specific challenges and requirements in manufacturing environments.</li><li>Hands on experience designing and building End to End data solutions and platforms.</li></ul><div><div><div><div><strong>Salary Range</strong>: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.</div><div> </div><div><strong>Additional Compensation and Benefits</strong>: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)</div></div><div>Base Pay Range (Annual)</div><div><span>$102,000</span><span>—</span><span>$140,000 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. </em></div><div> </div></div>

<p>Lucid Motors sets out to create a car that elevates the human experience and transcends the perceived limitations of space, performance, and intelligence. A car that is intuitive, liberating, and designed for all the ways people get around. Lucid Motors plans to lead in this new era of mobility by returning to the fundamentals of great design &ndash; where every decision we make is in service of the individual. Because when you are no longer bound by convention, you are free to define your own path.</p>

Cloud Engineer

<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.</div><div>&nbsp;</div><div>We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.</div><div>&nbsp;</div><div>Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.</div></div><p>We are seeking a highly motivated and detail-oriented Cloud Engineer to join our Powertrain Data and Automation team. The ideal candidate will have experience in deploying microservice architectures in AWS, managing hybrid on-premises and cloud-based data and service deployments, and building resilient and scalable data infrastructure. This is an exciting opportunity to work on cutting-edge cloud technologies and gain valuable experience in a fast-paced and innovative environment.</p><p><strong>Responsibilities</strong></p><ul><li>Design, implement, and maintain microservice-based architectures within AWS.</li><li>Manage hybrid deployments of data and services across on-premises and cloud environments.</li><li>Develop and optimize resilient and scalable data infrastructure to support big data initiatives.</li><li>Utilize and manage AWS services such as S3, VPC, EKS, Kubernetes, EC2, and Auto Scaling&nbsp;to deliver reliable solutions.</li><li>Implement Infrastructure as Code (IaC) using tools like CloudFormation templates or other&nbsp;IaC languages.</li><li>Develop, deploy, and maintain alerting systems to ensure high availability and performance&nbsp;using CloudWatch and other monitoring tools.</li><li>Develop, standardize, and contribute to DevOps processes, including CI/CD pipelines and&nbsp;GitLab Runners.</li><li>Leverage the Elastic Search stack (ELK) with tools like Filebeat, Metricbeat, and Logstash&nbsp;for observability and log management.</li><li>Deploy and maintain unit and integration tests to ensure system reliability and performance.</li></ul><p><strong>Qualifications</strong></p><ul><li>3-5 years of experience in a cloud engineering role.</li><li>Proven experience deploying microservice architectures in AWS.</li><li>Experience working with hybrid on-premises and cloud-based deployments.</li><li>Hands-on experience with big data technologies and implementing scalable data infrastructure (spark, iceberg, kafka, airflow).</li><li>Proficiency in relevant tools and platforms including AWS S3, VPC, EKS, Kubernetes, EC2, Auto Scaling, CloudWatch, and CloudFormation templates.</li><li>Familiarity with DevOps practices and CI/CD tools such as GitLab Runners.</li><li>Understanding of the Elastic Search stack (ELK) and associated tools like Filebeat, Metricbeat, and Logstash.</li><li>Experience with monitoring and alerting platforms.</li><li>Knowledge of unit testing and integration testing best practices.</li></ul><p><strong>Education</strong></p><ul><li>Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.</li><li>CKA (Certified Kubernetes Administrator) strongly preferred</li><li>CKAD (Certified Kubernetes Application Developer) strongly preferred.</li></ul><p><strong>Nice to Have</strong></p><ul><li>Experience working with manufacturing data and infrastructure, particularly in the automotive sector.</li><li>A strong understanding of industry-specific challenges and requirements in manufacturing environments.</li><li>Hands on experience designing and building End to End data solutions and platforms.</li></ul><div><div><div><div><strong>Salary Range</strong>: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.</div><div>&nbsp;</div><div><strong>Additional Compensation and Benefits</strong>: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. &nbsp;(Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)</div></div><div>Base Pay Range (Annual)</div><div><span>$102,000</span><span>—</span><span>$140,000 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.&nbsp;</em></div><div>&nbsp;</div></div>

Cloud Engineer

About the Job

About the Company

Lucid Motors

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