Category: DevOps

professional summary skills jessica claire 100 montgomery st 10th floor 555 4321000 resumesampleexamplecom selfmotivated individual enthusiastic senior devops engineer passionate technology proven track record thriving fastpaced environments always searching latest tools methodologies able work confidently allowed become proficient wide variety technologies whilst strong interpersonal skills enabled excel teams also tools technologies use include jenkins ansible kubernetes terraform docker linux aws cloud services aws microsoft azure google cloud platform infrastructure code lac terraform aws cloud formation operating systems red hat centos suse ubuntu solaris aws ecs docker kubernetes docker swarm eka ecr webapplication servers websphere application server apache tomcat weblogic nginx configuration management tools ansible chef puppet monitoring tools debain windows scriptingprogramming languages python perl shell groovy bash version control tools git github bit bucket build tools apache maven gradle aws code build artifact storage nexus jfrog artifactory container orchestration tools splunk elk cloud watch dynatrace datadog dat prometheus databases mysql mongodb cassandra sql server oracle db2 ci tools jenkins bamboo team city circle cl gitlab work history devops engineer 022020 current bigbearai san antonio tx extensive experience designing implementation continuous integration continuous delivery continuous deployment aws jenkins experience amazon web services aws platform features including iam ec2 ebs rds cloud watch cloud formation autoscaling cloud front s3 sqs sns route53 designed configured managed publicprivate cloud infrastructures utilizing amazon web services aws including virtual private cloud vpc public private subnets security groups sg route tables elastic load balancer elb network acls nat gateways worked implementing architecture using api gateway lambda dynamo db deployed aws lambda code amazon s3 buckets created lambda deployment function configured receive events s3 bucket migrated cloud formation templates terraform using various aws modules secured terraform state le s3 buckets designed implemented security standards cloud premise per cis centre internet security benchmarking hardening multiple aws accounts automation scripts using terraform extensively involved infrastructure code lac execution plans resource graphs change automations using terraform also managed aws infrastructure code using terraform performed application migration docker containers various projects established use bluegreen deployments load balancers aws ec2 spot instances responsible analyzing various crossfunctional multiplatform applications systems enforcing python best practices provide guidance making long term architectural design decisions used git webhooks poll scm jenkins automate jenkins tasks responsible writing groovy scripts jenkins pipelines created maintained configuration spring application framework ioc implemented business logic using ejb automated build artifacts jar war ear using continuous integration tools created pomxml apache maven run builds using continuous integration tool jenkins created maven poms automate build process new projects integrated third party tools like sonarqube jfrog performed various types testing like unit testing performance testing integration testing sanity checks cross browser adhoc testing load testing uat using bash python boto3 supplement automation provided terraform tasks encrypting ebs volumes backing amis scheduling lambda functions routine aws tasks built scalable docker infrastructure microservices utilizing elastic container service ecs creating task de nitions json le experience containerbased deployments using docker working docker images docker hub docker registries installation con guring kubernetes clustering used ansible ansible tower configuration management tool automate repetitive tasks quickly deploying critical applications proactively managing changes created alarms trigger points aws cloudwatch based thresholds monitored servers cpu utilization performance disk usage utilized awscloudwatch services monitor environment performance operational metrics load testing managed kubernetes charts using helm created reproducible builds kubernetes applications managed kubernetes manifest les also managed releases helm packages implemented production ready load balanced highly available fault tolerant kubernetes infrastructure experience working git store code integrated ansible tower deploy ansible playbooks written yaml implemented performance testing using apache jmeter created dashboard using grafana along prometheus view results analyze infrastructure service monitoring required alerts clean workspace used bash python supplement automation provided ansible terraform tasks encrypting ebs volumes backing amis scheduling lambda functions routine aws tasks involved setting jira defect tracking system configured various work flows customizations plugins jira bugissue tracker used jira bug tracking issue tracking project management qacautomation engineer big nerd ranch newtown ct 072018 102019 migrated services onpremises kubernetes azure cloud environments collaborated application teams maintain highquality deployment implemented azure services azure active directory ad azure cloud services iis azure storage azure blob storage resource manager arm sql database azure vm azure functions azure service bus azure service fabric created new azure active directory azure ad adfs application service principal used rolebased access control access azure stack resources configured azure container registry acr store docker images azure kubernetes service aks deploy spring applications managed kubernetes cluster azure implemented cluster services using docker azure kubernetes services aks manage local deployments kubernetes building selfhosted kubernetes cluster using jenkins cicd pipeline managed kubernetes charts using helm created reproducible builds kubernetes applications templatized kubernetes manifests provide set configuration parameters customize deployment managed releases helm packages managed azure kubernetes services aks policies providing access different azure resources developing improving work flows govern access created terraform templates provisioning virtual networks vm scale sets load balancers nat rules used terraform graph visualize execution plan using graph command terraform used along packer create custom machine images infrastructure provided software dependencies installed using ansible wrote terraform reusable module infrastructure provisioning various resources like vnet vnet peering subnets apimanagement service cosmosdb storage accounts integrated ansible plugins jenkins provide automation continuous integration continuous deployment cicd jenkins wrote ansible playbooks automate ansible target nodes using yaml scripting created cicd pipelines azure devops environments providing dependencies tasks also implemented managed continuous delivery systems methodologies azure created end end automation continuous integration procedures using jenkins automated integrating maven build plugins jenkins implemented jenkins work ow plugins repeatable deployments multitier applications artifacts services docker created custom golden image using hashi corp packer based base image installing required software teams deployed vms using terraform modules worked azure monitoring tools azure network watcher azure service health azure log analytics diagnose reduce service degradation used kibana datadog monitor tool troubleshoot services root cause analysis security solutions involved setting azure monitoring tools like log analytics azure application insights resource access level logs resource level logs entire subscription store logs event hub deployed sitesite vpn vnets using powershell deployed virtual machines vms various subnets enabled communication various subnets worked version control tools git bitbucket comprehensive knowledge source controller concepts including branches tags conflicts merges branching strategies designed agile custom templates organization within azure devops multiple projects like users onboarding different levels access organizations projects identifying updating project defects tracking user stories backlogs used rally tool qcengineer 042017 052018 advent software city state implemented faulttolerant elasticity exceptionally accessible aws cloud infrastructure automated different resources ec2 iam vpc elb route53 s3 glacier cloud watch cloud trails rds sns auto scaling group many applications using code reusable terraform modules implemented security groups inboundoutbound access network acls controlling traffic subnets internet gateways nat instances route tables direct network traffic ensure secure zones organizations aws public cloud performed elastic load balancing distribute incoming traffic among multiple aws ec2 instances scaling scaling depending incoming traffic created iam roles policies provide specific permissions aws services depending application environment application deployed development testing production rewritten aws cloud formation templates convert terraform templates writing reusable terraform modules created reusable nestedstacks used cloud formation template creation multiple resources aws created multiple cloud formation stack sets deploy templates across multiple aws accounts regions single operations provided high availability laas vms paas role instances access services v net azure internal load balancer identifying opportunities improve infrastructure effectively efficiently utilizes microsoft azure windows server 20082012r2 microsoft sql server microsoft visual studio windows powershell cloud infrastructure designed network security groups nsgs control inbound outbound access network interfaces nics vms subnets written terraform templates provision aws dynamic infrastructure code build staging production environments managed different infrastructure resources like vms docker containers created written chef cookbooks additional requested packages prompted jenkins pull code github deployed various nonproduction environments wrote chef cookbooks automate installation update process apache tomcat mysql java horizontal clusters using cl jenkins pipelining responsible version control chef cookbooks testing cookbooks using test kitchen running recipes nodes managed onpremises chef server integrated maven ant github jenkins build deploy artifacts nexus artifactory worked handling multiple docker images primarily middleware installation domain configurations achieved continuous delivery goal highly scalable environment using docker coupled load balancing tool nginx managed major architectural changes single server large software system distributed system kubernetes orchestration configured maintained jenkins masterslave setup enabling passwordless ssh login server nodes manage distribute building workload evenly across different nodes configured central distributed repository assisted developers branching labelingnaming conventions using subversion svn git source control involved creating dynatrace splunk dashboards business defined kpis key performance indicator performance dashboards applications performance monitoring using application insights dynatrace saas education bachelor science computer networking telecommunications azerbaijan technical university azerbaijan 072001