Senior Site Reliability Engineer (SRE), Big Data Cloud
Newark, CA
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.We are looking for a Senior SRE Engineer - Big Data, who enjoys thinking big and looking to make their mark on an incredibly fast-growing company. In this role you will maintain, monitor recover a highly scalable infrastructure for data processing platform using AWS Cloud and Kubernetes. If building large and building fast, working with a very talented team of engineers, and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it.
The Role
- Maintain, Enhance and Monitor a highly scalable infrastructure for data processing platform using Kubernetes
- Using AWS Cloud and open source services to address critical business needs
- Ensure the 24/7 availability of the system, with proper alerting and monitoring
- Identify and fix bugs and performance issues in the platform
- Utilize continuous delivery (CI/CD) with Gitlab CI, Jenkins, ArgoCD, Artifactory, Docker
- Data pipeline and application monitoring and failure recovery
- Setup and monitor application access and connectivity
- Advocate for a DevOps culture of automation, self-service, and engineering best practices to enable development teams
- Autoscaling and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools
- Performing all SRE activities such as availability and reliability monitoring and reports
- Tune, Monitor and configure tools such as Kafka, Spark, Presto, Airflow, MQTT
- Use infrastructure as a service with Terraform
- operate and maintain code repository with GitLab.
Qualifications
- Comprehensive experience with AWS including a solid understanding Amazon S3, EC2, IAM, EKS, Networking and Security
- Extensive Experience with Kubernetes and tools such as ArgoCD
- Experience with CI/CD and DevOps, Terraform and Helm charts
- Experience with streaming application monitoring and maintenance
- Bachelor or Masters in Computer Science or relevant experience
- Minimum 5+ years of experience in SRE or DevOps engineering
- Proven experience working with large scale big data platforms
- Experience with tools such as Jenkins, Artifactory, etc. to build automation, CI/CD, Self-Service pipelines and Route 53
- Experienced in design and implement reliable, scalable, and performant distributed systems and data pipelines
- Extensive programming experience, especially in Bash, Python or Golang
- Experience with Containerization, including Docker
- Experience with running large-scale distributed computing infrastructure such as Spark, Hive, Presto, Zookeeper
Tags: Airflow AWS Big Data CI/CD Computer Science Data pipelines DevOps Distributed Systems Docker EC2 Engineering GitLab Golang Grafana Helm Kafka Kubernetes Open Source Pipelines Python Security Spark Streaming Terraform
Perks/benefits: Team events
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