Big Data Engineer, DevOps Architect

USA-based Devops-as-a-Service provider, Caylent, seeks a Big Data Engineer with Hadoop & some DevOps experience.

We specialize in Kubernetes for cloud-native projects with AWS, GCP and serverless. Our Engineers are leaders and mentors who wear different technology hats of a small boutique firm without the corporate headaches.

Enjoy the benefits of a full-time, permanent position where you work REMOTE from home and only speak in English with interesting clients in machine learning and block chain indutries.

NOTE: Work sponsorship not available.

Requirements

• Professional level English fluency and excellent written and verbal communication skills
• 3+ years recent experience SysAdmin (Hadoop, Cassandra, MySQL, Hadoop components such as Spark, HDFS, Yarn, Hive, Kafka, Sqoop
• 3+ years data analytics experience
• Hands-on cloud infrastructure environments (AWS, GCP)
• Staff level or higher DevOps Engineer experience
• Bachelor's degree in Engineering or Computer Science preferred
• GCP, AWS or other Professional Certificates preferred
• DevOps Certificates a plus

Duties:

• Build and manage Hadoop Production Clusters, Kafka, Hive and HDFS
• Responsible for full life cycle support of GCP hosted data systems
• Work with team on strategic shift from on-prem apps and deploying workloads to GCP
• Develop and maintain Database-as-a-Service and Kubernetes-as-a-Service
• Configure and maintain Puppet, SaltStack
• Cobbler configurations for infrastructure automation, including patch management and bare metal server deployment
• Implement solutions for Cloud infrastructure, containerized application workloads, platform scalability, or CI/CD pipelines and tooling
• Develop and improve operational practices and procedures
• Bring new features and services into production
• Infrastructure as Code design with Terraform
• Release automation, system administration, system configuration, and system debugging experience

Benefits

• BigData DevOps Hybrid Engineer role - Opportunity to grow your DevOps expertise
• Compensation paid in $USD
• Generous paid-time off
• Work from home or shared office space
• Paid for internal training programs and memberships to online trainings
• Company-paid certification courses, test, and bonus for each certificaton
• Work with cool, new tech - NO legacy systems
• Exciting and challenging work
• Work with great people and supportive management