Sr. DevOps Engineer - Remote, United States

Overview

The Sr. DevOps Engineer role provides support for R&D initiatives.  The role is primarily responsible for the availability and reliability of the infrastructure and business services within R&D group: Hadoop (Cloudera) ecosphere, as well as Kubernetes/OpenShift and ML/AI environments - on-prem and in the cloud.  Heavy experience with variety of open-source technologies, as well as DevOps experience.

Responsibilities

Service Design and Transition

• Designs systems based upon best practices with repeatable standard configurations
• Designs processes and services with a focus on the long term and operational maintainability.
• Configures robust solutions based upon business requirements to ensure reliability and availability of business services.
• Develop and maintain automation capabilities across on-prem and cloud environments
• Documents system configurations.

Service Operations

• Performs basic administration activities including security, OS tuning, log management, networking.
• Creates proactive monitoring services to capture and report availability and performance characteristics.
• Performance tuning across on-prem and cloud based on Big Data solutions
• Automates system monitoring and notification processes.
• Maintains configuration and releases internal software to production systems.
• Deploys code via CI/CD pipelines
• Applies software and security patches.

Project Support

• Provides technical expertise on – prem systems (Hadoop (Cloudera), ML/AI)
• Provides technical expertise on Azure ML/AI + Hadoop technologies
• Estimates level of effort and creates action plans for project deliverables.
• Meets project deliverables and documents solutions based upon project needs.
• Communicates and transfers knowledge to peers and project team members.
• Supports R&D in project tasks and administration of development environments.
• Comfortable with agile methodologies.

Business Support

• Demonstrable knowledge of all aspects of Linux-based administration including security, networking, performance management/tuning, and system monitoring.
• Experience configuring and managing enterprise Hadoop implementations preferred.
• Python preferred
• Automation experience with Puppet, Ansible and Terraform is preferred
• Shell …