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I O Engineering Consultant - Cloud Engineer - Azure, Aws And Gcp @ Optum

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 I O Engineering Consultant - Cloud Engineer - Azure, Aws And Gcp

Job Description

Primary Responsibilities:

  • Partner with application teams to design and execute migrations from onpremises or legacy hosting into Azure, AWS, and GCP
  • Provide architectural guidance aligned to WellArchitected pillars (security, reliability, performance efficiency, cost optimization, and operational excellence)
  • Help teams modernize workloads using cloudnative services where appropriate
  • Identify and mitigate migration risks related to security, availability, and cost
  • Develop Infrastructure as Code and GitHub Action workflows to deploy cloud resources
  • Utilize enterprise platform tools to provision and manage cloud resources
  • Support daytoday operations of public cloud environments, including on-call responsibilities and scheduled maintenance tasks
  • Monitor cloud hosted applications, investigate alerts, and assist with incident resolution
  • Follow runbooks to troubleshoot infrastructure and platform issues
  • Participate in incident reviews and learn from postincident analysis
  • Perform scheduled cloud configuration changes during daily maintenance windows
  • Develop and maintain Infrastructure as Code using Terraform
  • Create and enhance automation using Python and PowerShell
  • Execute repeatable processes for provisioning, configuration, and cleanup
  • Help reduce manual effort and improve operational consistency
  • Apply security best practices when deploying and operating cloud resources
  • Assist with identifying and remediation cloud vulnerabilities
  • Assist with identifying unused or underutilized resources for cost optimization
  • Learn and apply principles from the WellArchitected Framework
  • Work closely with senior cloud engineers and application teams
  • Contribute to documentation, runbooks, and knowledge sharing
  • Actively build skills across Azure, AWS, and GCP
  • Participate in continuous improvement initiatives for the Cloud Support team
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

  • Bachelor's degree in computer science, Information Systems, or related field
  • 3+ years of experience in cloud engineering, infrastructure, or DevOps roles
  • Handson experience with at least one public cloud platform (Azure, AWS, or GCP)Experience using Terraform or another Infrastructure as Code tool
  • Scripting or automation experience using PowerShell and/or Python
  • Working knowledge of cloud infrastructure fundamentals (compute, networking, identity, storage)
  • Familiarity with DevOps concepts such as CI/CD, version control, and automation
  • Solid troubleshooting skills and willingness to learn

Preferred Qualifications:

  • Foundational certification in public cloud technologies (i.e. Azure Fundamentals)
  • Experience supporting mission-critical applications deployed to multiple public cloud platforms
  • Experience working in an enterprise or regulated environment
  • Familiarity with monitoring and logging tools such as Splunk
  • Basic understanding of SRE concepts (SLIs, SLOs, incident response)

Job Classification

Industry: Retail
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Engineer
Employement Type: Full time

Contact Details:

Company: Optum
Location(s): Noida, Gurugram

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Keyskills:   cloud engineer python github sre cloud platforms cloud technologies cloud platform incident response cloud automation gcp devops powershell splunk cloud infrastructure terraform aws infrastructure as code azure

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