Sr. Cloud Devops Engineer with Network Exp

Overview

Remote
$80 - $85
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

AWS
Deployement
Cloud
Firewall

Job Details

Role: Sr. Cloud Devops Engineer with Network Exp

Location: 100% Remote

Duration: 12 month(s)+

Experience and Skills Required:

Experience in information technology with technical skills:

o Experience in Cloud technologies

o Experience in OS scripting and automation

o Linux experience, Automation, Ansible

Preferred:

Experience in the design, implementation and operational support of mission critical solutions

Strong attention to detail with an ability to operate effectively across multiple priorities

Experience with Public Cloud (AWS, Azure, GCS)

Experience across many of the following platforms:

o Hashicorp Terraform

o Container platforms (Examples: OpenShift, Docker, Kubernetes, GKE)

o Ansible, Chef, and or Puppet orchestration tool

o Hardware

Server Hardware: Client Proliant, Dell, IBM P-Series, Dell PowerEdge

Storage Hardware: EMC, Isilon, Pure

Hyperconverged Infrastructure: VxRAck, Nutanix

Backup Hardware: Data Domain, Veritas

o Operating Systems: Red Hat Enterprise Linux, Oracle Linux, Windows, CentOS

o Storage: Local Block Storage, Object Storage, Cross Data Center Replication (XDCR), Backup & Recovery Best Practices

o Network Virtualization: Akamai Global Traffic Management and Edge & Delivery Networks, Elastic Load Balancing Services, Domain Name Services and Registration

o Security: Compliance, Information Assurance, Data Protection using industry-best practices and tooling (Crowdstrike Falcon, Tenable.io, Splunk Phantom, HashiCorp Vault signers, SHA1 and SHA2 certificate management)

o Applications Frameworks: Java Spring, Java Play, node.js, NginX, JavaEE, HTML5

o Database: Relational (Oracle, DB2, MySQL/MariaDB, PostgreSQL, MSSQL Server), non-relational (Cassandra, Couchbase, MongoDB)

o Middleware: Web Servers (Apache), Application Servers (JBoss, Tomcat), Messaging (MQSeries, Message Broker, DataPower)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.