Cloud DevOps Architect

The Challenge:

Everyone is trying to "harness the power of the Cloud," but not everyone knows how. As a Cloud architect, you know how to build a Cloud-based technical architecture that meets customer needs and takes advantage of Cloud capabilities. What if you could use your Cloud architecture skills to improve our customer's programs? We need you to help us develop Cloud-based solutions to some of our customer's toughest challenges.

As a Cloud DevOps architect on our team, you'll design a secure, Cloud-based communications network leveraging automation of system deployment and implementation. You'll recommend tools and capabilities based on your research of the current environment and knowledge of various on-premise, Cloud-based, and hybrid resources. You'll learn how to help customers overcome their most difficult challenges in Cloud migration from an experienced team. You'll work with migration teams to ensure standards are met as you guide them through Cloud migration. This is an opportunity to use the latest Cloud technologies as you look for ways to improve your customer's environment using current Cloud capabilities. You'll be able to build your experience in automation and Cloud architecture while developing critical systems for our customer. We focus on growing as a team to make the best solutions for our customers, so you'll have resources for mentoring and learning new skills and tools. Join our team as we transform our customers with Cloud technology.

Empower change with us.

You Have:

  • 5+ years of experience in a systems engineering, architect, or systems administration role
  • Experience with Cloud platforms, architecture, or migration
  • Experience with Windows- or Linux-based systems
  • Experience with AWS or Azure
  • Ability to obtain a security clearance
  • BA or BS degree

Nice If You Have:

  • Experience with Azure
  • Experience with Amazon Web Services (AWS)
  • Experience with multi-threaded, Big Data, and distributive Cloud architectures and frameworks, including using Hadoop, MapReduce, Cloudera, Hive, Spark, and Elastic Search to conduct Big Data analytics
  • Experience with Extract, Transform, and Load (ETL) processes, including document parsing techniques and managing large data sets, such as multi-TB scale deployed environments while adhering to service-level agreements
  • Experience with working in the financial industry
  • BS degree in CS, Computer Engineering, Mathematics, Statistics, or a related technical engineering field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.  

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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