AWS Cloud Engineer

Job Overview
Our client in the Hollywood area of FL has an excellent opportunity for an AWS Cloud Engineer!
 

Responsibilities:

  • Function as a key member of the team responsible for the day-to-day, 24x7x365 on-call engineering, system administration, and operation of Cloud systems.
  • Provide review and input into the design of new technical features and architectural changes to the systems.
  • Define and implement best practices around various operation processes.
  • Perform periodic software updates to systems, and address security vulnerabilities.
  • Scale infrastructure to meet growing capacity and launch new applications in both private and public clouds.
  • Lead troubleshooting efforts to find root causes and corrective actions throughout the life of a project.
  • Develop tools to automate builds and continuous integration using Octopus Deploy, Jenkins, Terraform, Docker, Kubernetes, etc.
  • Develop monitoring solutions and appropriate metrics to measure performance and efficiency of applications using the ELK stack and/or Datadog.
  • Own the day-to-day health, uptime, monitoring, and reliability of services.
  • Participation in an on-call rotation for after-hours coverage as needed.
  • Other duties as assigned.
  • Position may require some travel.

 

Requirements:

  • Certification: AWS Certified SysOps Administrator Associate.
  • Bachelor’s degree in Computer Science, Information Technology, Management Information Systems, related field or equivalent experience.
  • 3+ years’ experience in a 24×7 high-availability production environment.
  • 3+ years’ experience with System Engineering in private and/or public cloud data center environments.
  • 5+ years’ experience working with Windows and Linux based server systems such as Windows Server 2008 – 2016, CentOS, CoreOS, and Ubuntu.
  • In depth understanding of TCP/IP LAN/WAN networking technologies and troubleshooting techniques.
  • Experience with infrastructure health monitoring and capacity planning using tools such as Solarwinds Orion, Prometheus, Grafana, Elasticsearch, Datadog, etc.
  • Experience with hardware or software-based firewalls, load balancers and proxy servers.
  • Experience with intrusion detection systems and network and server security hardening.
  • Experience with virtualization technologies such as VMWare and KVM.
  • Experience with container management platforms (Kubernetes) and container runtimes (Docker).
  • Good knowledge of languages such as Python, JavaScript and PowerShell.
  • Excellent organizational skills, and oral and written communication skills.
  • Ability to work with minimal supervision, making decisions based upon priorities, schedules and an understanding of business initiatives.
  • Critical attention to detail, thoroughness and documentation.

 

Preferences:

  • Certification: AWS Certified DevOps Engineer Professional.
  • Previous DevOps experience to act as liaison between development and quality assurance teams as part of the SDLC process.
  • Experience with public cloud service providers such as Amazon AWS, Microsoft Azure, Google GCP, etc.
  • Experience with deploying server workloads in a multi-tier architecture.
  • Experience in REST and SOAP distributed application troubleshooting.
  • Experience with Cloud data protection and backup operations to support DR/BCP solutions for Cloud workloads.
  • Experience with relational and NoSQL database technologies.
  • Extensive experience with configuration management and infrastructure as code using YAML and tools such as SaltStack, Ansible, Terraform, CloudFormation.
  • Experience with CI/CD and automated software delivery pipelines using tools such as Octopus Deploy, Jenkins and Terraform.
  • Experience monitoring solutions and appropriate metrics to measure performance and efficiency of applications using tools such as ELK stack and/or Datadog.
  • Experience with source control systems such as VSTS, Azure DevOps and Git.
  • Experience in monitoring, metrics collection, and reporting using open source tools.
  • Good knowledge in automating the management of a data center environment.
Job Detail
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