Cloud Infrastructure Engineer - Newark, United States - Lucid Motors

Description

The Cloud Platform team at Lucid is currently seeking a Cloud Infrastructure Engineer.

In this position, the individual will be responsible for providing reliability to the Cloud Platform that enabled Lucid Motors' Cloud-based Applications on various public and private Cloud Infrastructure.

Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination.

We are looking for a hands-on Software Engineering, who will collaborate with other engineers to build, automate, and maintain the Cloud Platform.

The Role:
Provide Reliability Engineering to services deployed and managed across regions.
Containerization and deployment of micro services and data pipeline on Kubernetes using Helm charts.
Advocate for a DevOps culture of automation, self-service, 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, Presto, Airflow, MQTT, and Micro services.
Setting up infrastructure as a service using Terraform.
Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
Participate in on-call rotation to keep up the service SLA per the business needs.
Work with Product Owner, Engineering Manager, and team members in Agile Scrum and Kanban mode.
Take appropriate actions by doing impact analysis during the incidents.


Qualifications:
B.S. or M.S. degree in Computer Science, Engineering, or related degree
1+ year of experience in SRE or DevOps or Platform Engineering
1-2 years of experience deploying and maintaining applications that are built using Docker and orchestrated on Kubernetes on Public or

Private Cloud Providers.
1-2 years of experience using Cloud Automation tools such as Terraform, Cluster API, or other frameworks.
1-2 years of experience in Programing or scripting languages using Python, Golang, Bash/Shell, or others.
Understanding of debugging tools for troubleshooting performance bottlenecks at the infrastructure or at the application tier.
Good to have experience with Config Management and automation using Ansible, Chef, Puppet, or others.
Ability to communicate with teams across geographical regions

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