Devops Infrastructure Architect

  • Boston, MA
  • Posted 41 days ago | Updated 5 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)

Skills

Kubernetes
Cloud Computing
Ansible
Continuous Integration
Data Governance
Data Flow
Data Visualization
Data Warehouse
DevOps
Google Cloud Platform
Continuous Delivery
Configuration Management
Microsoft Azure
Optimization
Snow Flake Schema
Scripting

Job Details

Devops Infrastructure Architect

Cloud Management:

Manage and optimize resources on Microsoft Azure and Google Cloud Platform (Google Cloud Platform).

Ensure high availability, performance, and security of cloud-based services.

Data Warehousing:

Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics.

Implement best practices for data governance, security, and compliance within Snowflake.

Automation and DevOps:

Lead the development and maintenance of Ansible scripts for configuration management and automation.

Implement and maintain CI/CD pipelines to ensure smooth and reliable software deployments.

BI Tools Infrastructure:

Oversee the infrastructure supporting Tableau and Qlik, ensuring optimal performance for data visualization and analysis.

Integrate these BI tools with data sources for seamless data flow and real-time analytics.

User and License Management:

Manage user access and licenses for BI tools, ensuring compliance with organizational policies and cost efficiency.

Provide training and support for users, enhancing tool adoption and proficiency.

Infrastructure as Code (IaC):

Champion the use of Infrastructure as Code principles to manage and provision infrastructure resources.

Ensure consistency and repeatability in infrastructure deployments.

Server Administration:

Troubleshoot and resolve complex server issues promptly.

Monitoring and Optimization:

Implement and manage monitoring solutions to ensure system health and performance.

Continuously optimize infrastructure for cost-efficiency and performance.

Kubernetes Workload CI/CD:

Implement CI/CD pipelines specifically for Kubernetes workloads to automate deployment processes.

Ensure seamless integration and deployment of containerized applications within Kubernetes environments.

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