W2- Senior Cloud Infrastructure Engineer ()

Remote • Posted 12 hours ago • Updated 12 hours ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Ansible
  • Audio Engineering
  • Bash
  • Cloud Computing
  • Collaboration
  • Communication
  • Computer Science
  • Configuration Management
  • Continuous Improvement
  • Customer Focus
  • Data Centers
  • Documentation
  • FOCUS
  • Good Clinical Practice
  • Google Cloud Platform
  • HTTP
  • IaaS
  • Instrumentation
  • Kubernetes
  • Linux
  • Management
  • Mentorship
  • Operating Systems
  • Orchestration
  • Provisioning
  • Python
  • Ruby
  • Scala
  • Scripting
  • Software Design
  • Storage
  • Switches
  • System Imaging
  • Terraform
  • Unix
  • VMware
  • Virtual Machines
  • Wireless Communication

Summary

Senior Cloud Infrastructure Engineer 

Remote

Top Skills Required :

1. VMware
2. Kubernetes
3. AWS/Google Cloud Platform cloud

Job Summary

Our SRE Private Cloud team is responsible for building and scaling the platform that supports millions of devices across the world. Our customer base has grown by a factor of 2-3 every year, serving more than 4 billion HTTP requests per day across eight data centers. Our customers depend on the our cloud to monitor their critical infrastructure of network switches, security appliances, wireless APs, and security cameras. We embrace the *nix way, automate away tedious tasks and build infrastructure as code.

As a Site Reliability Engineer within the Private Cloud team, you will architect, build, and support highly available, scalable, and resilient private cloud infrastructure. You will focus on automating operations, improving platform reliability, and enabling seamless service deployment for internal customers. This role requires collaboration with cross-functional teams to ensure platform stability, security, and continuous improvement aligned with the mission to provide reliable compute and storage services.

Responsibilities
• Design, implement, and manage scalable, highly available private cloud infrastructure and orchestration platforms supporting compute and storage services.
• Automate infrastructure provisioning, configuration, and deployment using Infrastructure as Code (IaC) tools.
• Monitor, troubleshoot, and optimize platform performance, reliability, and security.
• Develop and maintain standardized OS images and deployment frameworks for bare metal, virtual machines, and cloud instances.
• Collaborate with other engineering teams to ensure platform uptime, cultivate sound engineering principles and represent our engineering values.
• Build end-to-end documentation, instrumentation, and automation to enable self-healing and resiliency.
• Participate in on-call rotations to support production environments.
• Lead and contribute to large-scale projects, promoting engineering standards and team values such as inclusivity, customer focus, and continuous improvement.

You are an ideal candidate if you have:
• 7+ years of experience designing, deploying, and operating mid to large-scale enterprise or cloud environments.
• Familiarity with private cloud technologies including VMware, bare metal environments, file and block storage, as well as cloud infrastructure providers like AWS, Google Cloud Platform.
• Operational experience with container orchestration platforms (Kubernetes) at production scale, workload deployment via Helm, ArgoCD
• Familiarity with automation frameworks for OS image creation and deployment.
• Strong scripting and coding skills in languages such as Python, Bash, Ruby, or Scala.
• Expertise with infrastructure/configuration management tools such as Ansible, or Terraform.
• Deep understanding of systems and application design with operational trade-offs.
• Proficiency with modern Unix/Linux operating systems and distributions.
• Strong collaboration, mentoring, documentation and communication skills.
• Ability to prioritize tasks, work independently, and call out issues effectively.
• BS or MS degree in Computer Science, Engineering, or equivalent experience.

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.
  • Dice Id: 91126058
  • Position Id: 9028198
  • Posted 12 hours ago
Contact the job poster
Anusha Chenna

Anusha Chenna

Recruiter @ Prohires
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