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Staff Cloud Engineer
| Company | WGU |
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| Location | Salt Lake City, UT, USA |
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| Salary | $140200 – $217200 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Expert or higher |
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Requirements
- Expertise implementing AWS services in a variety of distributed computing environments
- Experience with highly available and fault-tolerant enterprise and web-scale software deployments
- Expertise in infrastructure automation through DevOps scripting (e.g. shell, Python, Node, Ruby, Powershell)
- Strong practical Linux and Windows-based systems administration skills in a Cloud (AWS, Azure, Google) or Virtualized environment
- Experience leading cloud operations, including assurance, monitoring, alerting, and notifications
- Experience scripting/programming in Bash, Java, and Node.js
- Understanding of DevOps, Scrum, and ITIL concepts
- Understanding of Virtualization and/or Containerization
- Understanding of GitFlow model and Continuous Integration with CI tools such as Travis or Jenkins
- Experience using Configuration Management Tools such as Chef and SaltStack
- Experience using monitoring tools like New Relic, Nagios, CloudWatch or IPMon
- Experience and ability to work directly with customers creating cloud infrastructure solutions, leading conversations with key business stakeholders reviewing pros and cons, risks, and best practices
- Ability to lead the design, development, and deployment of business software at scale or current hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Effective communication and documentation skills
- Self-starter with a drive to work autonomously as a member of a collaborative team
- Strong service-oriented focus with a customer service attitude
- Strong analytical skills
- Bachelor’s Degree in Information Technology or related field
- 9 years of prior relevant experience
- Expertise with the standard software development life cycle (SDLC) and Agile/iterative methodologies
Responsibilities
- Supervises work on cloud technologies and scalable architecture
- Supervises the architecture and design of complete model solutions
- Leads and performs research and analysis to find solutions for complex business problems
- Monitors job performance and fine-tune Spark SQL queries as appropriate regularly
- Deploys automation of software deployment and automation tools
- Increases application and system responsiveness
- Monitors performance by anticipating and correcting operational issues before occurrence
- Creates more stable operating environments by continuously improving infrastructure to be easily deployable and scalable
- Positively impacts projects by completing assigned tasks on time
- Communicates technical and domain knowledge as it relates to work, to both technical and non-technical audiences
- Helps continually improve ongoing reporting and analysis processes, automation, or simplifies self-service modeling and production support for customers
- Performs other job-related duties as assigned
Preferred Qualifications
- Strong experience with distance education and distance learning students
- Expertise in at least one programming language
- Expertise in cloud spend optimizations and serverless technology such as AWS Lambda
- Expertise with the integration of cloud services with on-premises technologies from Microsoft, IBM, Oracle, HP, SAP, etc.
- Expertise with compliance and risk management requirements (e.g. security, PCI, privacy, SOX, HIPAA, etc.)
- JSON and YAML expertise
