Sr Redis Cloud Engineer

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Company: ASB Resources

Location: Dallas, TX 75217

Description:

We are seeking an experienced REDIS engineer to further enable our platform expansion plans. The candidate will work as part of a US-based team to support delivery of our product backlog, and partner closely with stakeholders across the enterprise to deliver high-value outcomes.

In this role, you will:
  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff


Required Qualifications:
  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of experience in REDIS engineering
  • 3+ years of experience in Linux, Virtualization technologies and network principles
  • 2+ years Ansible automation experience
  • 2+ years Programming language experience in either Java, .NET, Python, Shell scripting


Desired Qualifications:
  • Experience on Private Cloud technologies including Pivotal Cloud Foundry, Google Kubernetes or Azure HCI
  • Strong understanding of security principles and best practices, including TSL/SSL technologies
  • Proficiency in Github, CI/CD pipelines
  • Expert understanding of REDIS enterprise architecture in large scale implementations

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