Cloud engineer

Job Description Cloud Engineer

East Tennessee company is seeking a Cloud Engineer to join their growing team. This cloud computing position will allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we’re seeking an experienced cloud engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and the ability to customize them to help our business become more secure and efficient.

Extensive knowledge of cloud maintenance, experience managing staff, and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT operations, and an ongoing impact on our overall growth. Experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) and Azure is required.

• Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance
• Provide guidance, thought leadership, and mentorship to development teams to build cloud competencies
• Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company and Federal security guidelines

• Cloud Operations Management
  -technical expertise in cloud service categories like PaaS/SaaS/IaaS.
• Design, build, maintain, document, and automate technical processes and operations using VMWare vCenter and vSphere, Azure Virtual Machine, AWS EC2, and Google Compute Engine.
• Implement configuration and deployment automation towards improving functionality, availability, and manageability of our enterprise cloud offerings. Understanding of Authentication and Authorization, Identity and Access Management. Familiarity of deployments in a hybrid cloud environment including data challenges with solution deployment across multiple clouds. Design, implement, and test DR and business continuity architecture.
• Continuous Improvement - provides continually improving set of software and systems engineering practices that provide a frictionless IT environment.
• Accountability and Persistence - holds self and others accountable for measurable high-quality, timely and cost-effective results. Expects personal and team performance to be the best and accepts responsibility for mistakes. Demonstrates tenacity and willingness to go the distance to get something done. Ability to work on challenging issues independently or in a team environment.
• Communications - demonstrates excellent interpersonal, written, presentation, leadership, collaboration, facilitation and negotiation skills and the ability to interact with all levels of internal and external stakeholders. Ability to present ideas in user-friendly language. Cultivates strong relationships with industry experts. Strong problem solving, verbal and written communications skills.
• Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures
• Educate teams on the implementation of new cloud-based initiatives, providing associated training as required
• Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivity

• Bachelor's degree in business, computer science, computer engineering, electrical engineering, system analysis or related field of study, along with 5+ years of cloud technology experience.
• Expertise in Linux operating systems
• Proven cloud computing experience
• Experience with cloud infrastructure (firewalls, load balancers, DNS, DHCP) and various virtualization technologies, including VMWare vCenter and vSphere

• Advanced degree in business, computer science, computer engineering, electrical engineering, system analysis or related field of study.
• Substantial knowledge of Cloud software, application, data storage, systems engineering
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics
• Proven ability to collaborative with multi-disciplinary teams of business analysts, developers, data scientists, and subject matter experts
• Experience with AWS, Azure and GCP
• AWS certifications
• Azure certifications
• GCP certifications