Sr. DevOps Engineer - Big Data

at  ISG Search Inc

Sr. DevOps Engineer - Big Data

Must Have:

• 3+ years of public cloud experience (GCP [preferred], Azure, AWS)
• Prior experience specifically in SRE / DevOps, Infrastructure Engineering, and Systems Engineering required
• Has knowledge of a full stack system and can jump into troubleshoot and diagnose issues in the environment.
• Very strong experience with Linux as an administrator and operator
• Strong background with Infrastructure as Code (Terraform)
• Strong background in configuration management with frameworks such as Chef, Salt, or Ansible

Nice to Have:

• Proficiency with the following programming languages Golang, Python and shell scripting to automate tasks
• Familiarity building and supporting Big Data pipelines using Kafka, BigQuery, Dataflow
• Proficient at supporting container platforms and container orchestration tools such as Docker and Kubernetes
• BS or MS in Computer Science, a related field, or equivalent professional experience

Our client is…

• A global full-service digital consultancy firm. Their global team is dedicated to delivering seamlessly integrated strategies, immersive user experiences, cross-platform development, deployment, training, and ongoing support. They have a results-focused approach which allows them to understand the client needs, shape digital strategies, and forge a path to deliver business success.

Responsibilities:

• Write automation code for provisioning and operating infrastructure at scale
• Identify and drive opportunities to improve automation for code deployment, management, and visibility of application services
• Develop tools and framework to automate operational tasks, deployment of machines, services, applications
• Work with big data technologies to build and support data pipelines and streaming analytics
• Work with development teams to integrate deployments with configuration management frameworks

• Write automation code for provisioning and operating infrastructure at scale
• Identify and drive opportunities to improve automation for code deployment, management, and visibility of application services
• Develop tools and framework to automate operational tasks, deployment of machines, services, applications
• Work with big data technologies to build and support data pipelines and streaming analytics
• Work with development teams to integrate deployments with configuration management framework