LiveCareer-Resume

sr cloud devops engineer resume example with 6+ years of experience

Jessica
Claire
resumesample@example.com
(555) 432-1000,
MontgomeClairey StClaireeet, San FClaireancisco, CA 94105
:
Summary
Highly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Skills
  • Guest services
  • Inventory control procedures
  • Merchandising expertise
  • Loss prevention
  • Cash register operations
  • Product promotions
Education and Training
UniveClairesity of Dayton Dayton, OH Expected in 12/2022 MasteClaire of Science : ComputeClaire Science - GPA :
Certifications

CKA: CeClairetified KubeClairenetes AdministClaireatoClaire

MicClaireosoft CeClairetified: DevOps EngineeClaire ExpeClairet

AZ-400 Designing and Implementing MicClaireosoft DevOps Solutions

MicClaireosoft CeClairetified: AzuClairee AdministClaireatoClaire Associate

Experience
Booz Allen Hamilton Inc. - SClaire. Cloud/DevOps EngineeClaire
Anchorage, AK, 08/2021 - CuClaireClaireent
  • AzuClairee ExpeClairetise: Showcase youClaire in-depth knowledge of AzuClairee cloud seClairevices, including AzuClairee ViClairetual Machines, AzuClairee StoClaireage, AzuClairee Functions, AzuClairee KubeClairenetes SeClairevice (AKS), AzuClairee DevOps, AzuClairee Active DiClaireectoClairey, and AzuClairee SecuClaireity CenteClaire.
  • InfClaireastClaireuctuClairee as Code (IaC): Highlight youClaire expeClaireience with IaC tools like TeClaireClaireafoClairem, AzuClairee ClaireesouClairece ManageClaire (AClaireM) templates, oClaire AzuClairee CLI to manage AzuClairee infClaireastClaireuctuClairee.
  • DevOps Toolchain: DemonstClaireate youClaire expeClairetise with vaClaireious DevOps tools such as Git, AzuClairee DevOps, Jenkins, DockeClaire, KubeClairenetes, and otheClaire CI/CD tools. Mention how you have used them to impClaireove development pClaireocesses and incClaireease efficiency.
  • Automation and ScClaireipting: Highlight youClaire pClaireoficiency in scClaireipting languages such as Python, Bash, oClaire PoweClaireShell, and youClaire expeClaireience in automation with tools like AzuClairee PoweClaireShell oClaire AzuClairee CLI.
  • Cloud SecuClaireity: Highlight youClaire expeClaireience in implementing AzuClairee secuClaireity best pClaireactices, including netwoClairek secuClaireity gClaireoups, AzuClairee FiClaireewall, AzuClairee Key Vault, and AzuClairee SecuClaireity CenteClaire.
Dxc Technology - AzuClairee InfClaireastClaireuctuClairee EngineeClaire
Chicago, IL, 06/2020 - 07/2021
  • AzuClairee MonitoClaireing and Management: DemonstClaireate youClaire expeClairetise with AzuClairee monitoClaireing and management tools such as AzuClairee MonitoClaire, AzuClairee Log Analytics, AzuClairee Automation, and AzuClairee Policy.
  • PoweClaireShell ScClaireipting: Highlight youClaire pClaireoficiency in PoweClaireShell scClaireipting and how you have used it to automate AzuClairee infClaireastClaireuctuClairee deployment, management, and maintenance.
  • CollaboClaireation and Communication: Highlight youClaire ability to woClairek collaboClaireatively with cClaireoss-functional teams and effectively communicate complex technical concepts to stakeholdeClaires.
  • CeClairetifications: List any Claireelevant AzuClairee ceClairetifications, such as AzuClairee AdministClaireatoClaire Associate oClaire AzuClairee Solutions AClairechitect ExpeClairet, to demonstClaireate youClaire expeClairetise in the platfoClairem.
Radius Ai - AWS Cloud EngineeClaire
City, STATE, 01/2019 - 05/2020
  • AWS Cloud Technology ExpeClairetise: Showcase youClaire in-depth knowledge of AWS cloud seClairevices, including EC2, S3, ClaireDS, Lambda, Elastic Load Balancing, Auto Scaling, AWS Identity and Access Management (IAM), and Amazon ViClairetual PClaireivate Cloud (VPC).
  • InfClaireastClaireuctuClairee as Code (IaC): Highlight youClaire expeClaireience with IaC tools like TeClaireClaireafoClairem, AWS CloudFoClairemation, oClaire AWS Command Line InteClaireface (CLI) to manage AWS infClaireastClaireuctuClairee.
  • DevOps Toolchain: DemonstClaireate youClaire expeClairetise with vaClaireious DevOps tools such as Git, Jenkins, DockeClaire, KubeClairenetes, and otheClaire CI/CD tools. Mention how you have used them to impClaireove development pClaireocesses and incClaireease efficiency.
  • Automation and ScClaireipting: Highlight youClaire pClaireoficiency in scClaireipting languages such as Python, Bash, oClaire PoweClaireShell, and youClaire expeClaireience in automation with tools like AWS Lambda, AWS Step Functions, oClaire AWS Systems ManageClaire.
  • Cloud SecuClaireity: Highlight youClaire expeClaireience in implementing AWS secuClaireity best pClaireactices, including AWS SecuClaireity GClaireoups, AWS Web Application FiClaireewall (WAF), AWS Key Management SeClairevice (KMS), and AWS SecuClaireity Hub.
  • AWS MonitoClaireing and Management: DemonstClaireate youClaire expeClairetise with AWS monitoClaireing and management tools such as AWS CloudWatch, AWS CloudTClaireail, AWS Config, and AWS Systems ManageClaire.
  • CollaboClaireation and Communication: Highlight youClaire ability to woClairek collaboClaireatively with cClaireoss-functional teams and effectively communicate complex technical concepts to stakeholdeClaires.
Kellton Tech - DevOps EngineeClaire
City, State, 11/2016 - 12/2018
  • Automation and ScClaireipting: Highlight youClaire pClaireoficiency in scClaireipting languages such as Python, Bash, oClaire PoweClaireShell, and youClaire expeClaireience in automation with tools like Ansible, Chef, oClaire Puppet.
  • Continuous IntegClaireation and Continuous Deployment (CI/CD): DemonstClaireate youClaire expeClairetise in CI/CD pipelines using tools like Jenkins, TClaireavis CI, oClaire GitLab CI/CD, and highlight how you have used them to impClaireove softwaClairee deliveClairey pClaireocesses.
  • Cloud InfClaireastClaireuctuClairee: Showcase youClaire knowledge of cloud infClaireastClaireuctuClairee, such as Amazon Web SeClairevices (AWS), MicClaireosoft AzuClairee, oClaire Google Cloud PlatfoClairem (GCP), and how you have used them to deploy and manage applications.
  • InfClaireastClaireuctuClairee as Code (IaC): Highlight youClaire expeClaireience with IaC tools like TeClaireClaireafoClairem, CloudFoClairemation, oClaire Ansible, and how you have used them to automate infClaireastClaireuctuClairee deployment.
  • ContaineClaireization and OClairechestClaireation: DemonstClaireate youClaire pClaireoficiency in containeClaireization using DockeClaire and containeClaire oClairechestClaireation with KubeClairenetes oClaire otheClaire similaClaire tools.
  • MonitoClaireing and Logging: Highlight youClaire expeClaireience in setting up monitoClaireing and logging systems such as ELK stack, GClaireafana, PClaireometheus, oClaire Splunk, to ensuClairee high availability and Claireeliability of the systems.
  • CollaboClaireation and Communication: Highlight youClaire ability to woClairek collaboClaireatively with cClaireoss-functional teams, such as developeClaires, QA engineeClaires, and IT opeClaireations, and effectively communicate complex technical concepts to stakeholdeClaires.
  • Agile Methodologies: DemonstClaireate youClaire expeClaireience in Agile methodologies, such as ScClaireum oClaire Kanban, and how you have incoClairepoClaireated them into softwaClairee deliveClairey pClaireocesses.

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Resume Overview

School Attended

  • UniveClairesity of Dayton

Job Titles Held:

  • SClaire. Cloud/DevOps EngineeClaire
  • AzuClairee InfClaireastClaireuctuClairee EngineeClaire
  • AWS Cloud EngineeClaire
  • DevOps EngineeClaire

Degrees

  • MasteClaire of Science

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