Remote Azure/GCP engineer jobs

We, at Turing, are looking for qualified remote Azure/GCP engineers who will be responsible for developing robust, scalable, pragmatic, and realistic cloud solutions. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Collaborate with key stakeholders to identify, analyze, and manage business requirements
  • Conceptualize cloud migration initiative, including its impact on infrastructure, networks, and security
  • Research, evaluate and implement advanced cloud technologies to add value to the business
  • Deploy Infrastructure as Code (IaC) to manage infrastructure components more effectively
  • Collaborate with key stakeholders to identify, analyze, and manage business requirements
  • Conceptualize cloud migration initiative, including its impact on infrastructure, networks, and security
  • Research, evaluate and implement advanced cloud technologies to add value to the business
  • Deploy Infrastructure as Code (IaC) to manage infrastructure components more effectively
  • Ideate, architect, design, and implement CI/CD systems to support provisioning
  • Collaborate with DevOps engineers to determine required Azure resources
  • Strategize and establish secure and well-managed enterprise environment in Azure
  • Assist team members in defining and following the latest cloud technology standards and best practices
  • Collaborate with IT security team and solution architects for any security-related issues
  • Take ownership for conceptualizing, presenting, and executing ideas across multiple software development projects

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional experience in cloud engineering (rare exceptions for highly skilled developers
  • Expertise in Azure Functions, Azure Databricks, and its architecture
  • Deep knowledge of Azure Machine Learning Services and its architecture
  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional experience in cloud engineering (rare exceptions for highly skilled developers
  • Expertise in Azure Functions, Azure Databricks, and its architecture
  • Deep knowledge of Azure Machine Learning Services and its architecture
  • Proven expertise in cloud service providers, specifically GCP, its infrastructure and configurations
  • Demonstrable knowledge in Linux and/or Windows administration and scripting
  • Profound experience of CI/CD pipeline and continuous testing tools
  • Experience in working with one or more programming languages, including Python, Ruby, Java, JavaScript, Go, Groovy, Scala, etc.
  • Experience in automation scripting using tools like Terraform, Ansible, etc.
  • Proficiency in Google security and compliance tools like IAM, KMS, Resource Manager, etc.
  • Strong understanding of Kubernetes and containerization technologies
  • Expertise in REST APIs and PowerShell scripting
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of networking principles and protocols
  • Basic idea of GCP BigQuery, Dataproc, and Dataflow
  • Familiarity with test driven development
  • Azure certified applicants would be preferred
  • Knowledge of networking principles and protocols
  • Basic idea of GCP BigQuery, Dataproc, and Dataflow
  • Familiarity with test driven development
  • Azure certified applicants would be preferred
  • Experience working within an Agile environment
  • Excellent technical, analytical and problem solving skills
  • Strong communication and organizational skills

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We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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