Big Data Engineer, DevOps Architect

Remote - San José, San José Province, Costa Rica

Full Time Mid-level / Intermediate
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Posted 2 weeks ago

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.


  • 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


  • 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


  • 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
Job tags: AWS Big Data Cassandra Data Analytics Engineering Hadoop HDFS Kafka Kubernetes Machine Learning MySQL Spark
Job region(s): North America Remote/Anywhere
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