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Azure Site Reliability Engineer -100% Remote

Roles & Responsibilities

  • Proficiency in at least one programming language (Java, C#, JavaScript, Python, or Ruby).
  • Experience configuring and administering Windows or Linux systems.
  • Strong Azure Cloud experience with cloud architecture design using PaaS and DevOps practices.
  • Experience with CI/CD, source code repositories, and configuration management tools and best practices.

Requirements:

  • Design scalable systems and services, connecting distributed components using a broad range of tools.
  • Apply evidence-based methods to solve real-time service problems for fastest recovery.
  • Write code to test, load, instrument, and analyze system properties to identify bottlenecks and reliability issues.
  • Configure and tune systems at scale using configuration management tools (Puppet, Chef, Ansible) and optimize networks, storage, databases, web apps, containers, and messaging systems.

Job description


Azure Site Reliability Engineer - 100% Remote
Location - Sandy Springs GA
Rate - DOE
Duration - 1 year
Start - 2/27/23

Job Description

Required Skills for all SREs
  • You program at a high level in at least one language such as: Java, C#, JavaScript, Python or Ruby.
  • You configure and administrate systems using either Windows or Linux.
  • You design scalable systems and services, connecting distributed systems together using a broad range of skills and tools.
  • You apply an evidence based approach to solving service problems in real time to provide the fastest path to recovery.

Cloud Skills
  • Strong Azure Cloud.
  • Experience with designing cloud implementation architectures and solutions using PaaS, DevOps & Advanced Application coding
  • Experience with application transformation and modernization & data migrations projects.
  • Experience with various Continuous Integration and Continuous Delivery (CI/CD), Source Code Repos and configuration management tools, technologies, and best practices

Systems Engineering Skills
  • You write code to test systems, generate load, instrument, analyze, profile and Client system properties and attributes.
  • You use configuration management (tools; puppet, chef or ansible) to expertly manage configuration at scale.
  • You investigate system components discovering and removing performance bottlenecks and sources of unreliability.
  • You applying the scientific method to system components to identify improvements to the configuration and design to improve reliability, performance and operability.
  • You select, configure, analyze and tune [Network, Storage, Database, Web Applications, Application Containers, Message Queuing] systems.

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