Cloud Engineer

Overview

Hybrid
$60 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

cloud
automation
AWS
AZURE
Terraform
kubernetes
SSL

Job Details

Job: Cloud Engineer

Location: Dallas, TX - Must be able to come into the office whenever needed and up to 3 times a week.

Term: 12 month SOW

Interview Process: 1-2 rounds

When should this person start? ASAP

Is budget approved? Yes

Travel: No

Hours: M-F 8am-5pm

Remote: Must be able to come onsite whenever needed and up to 3 times/week.

The right candidate for this Cloud Engineer role will be accountable for engineering, support, automation and thought leadership as it relates to company's cloud providers. They will assist various project teams with modernizing applications and migrations to the cloud, along with other related activities.

Required Skills and Experience:

Cloud Administration AWS, Azure, and IBM Cloud Administration experience preferred

Knowledge of containers, and deployment of containerized applications/microservices architectures

Specific knowledge and experience with migrating and refactoring applications to containerized workloads

Terraform experience

Ansible experience

Scripting experience

Experienced with automated deployment tools

Deep conceptual and applied understanding of DevOps concepts, tools, and practices

Hands-on experience with GitLab

Must have good analytic skills and the ability to apply these skills in a multi-tasking environment where multiple projects will require participation at a given time.

Must have outstanding skills in communicating complex technical issues, and providing comprehensive written, oral and/or digital products.

Working knowledge of networking topics such as protocols, firewalls, load balancer, etc.

Must have the willingness to document, share knowledge and train other members of the team.

Preferred:

Working knowledge with applications running on OpenShift/Kubernetes

Working knowledge of SSL certificates

Experience with Agile teams, tools, practices & ceremonies (kanban, stand-ups, sprints, etc.)

Keeps abreast of relevant industry leading standards and emerging technologies

Container and Pod level Monitoring and Logging: Dynatrace, QRadar

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.