Vacancy expired!
- Develop and execute the vision for VMWare architecture, deployment systems, and application infrastructure
- Provide innovative solutions leveraging modern deployment tools/techniques and make recommendations to support a rapidly growing environment
- Implement best practices by developing, refining, iterating, integrating, testing, staging and deploying maintainable technical solutions
- Communicate complicated problems to team members to ensure alignment and successful implementation
- Accountable for effectively leading, communicating and managing change ensuring sustainability of process and performance enhancement
- Remain current on the external environment for industry-leading tools, technology, analytics and best practices
- Demonstrate leadership in the areas of continuous improvement and continuous learning
- Engages in cooperative discussions with 3rd party cloud providers to incorporate roadmaps
- Master's degree in Computer Science, Computer Engineering, or a related technical degree; six years related experience; or equivalent combination of education and experience
- 3 or more years of professional in architecting and deploying VMWare solutions and distributed environments
- Detailed experience with VMWare networking and storage solutions, such as: vRealize, distributed virtual switches, vSAN, NSX
- Demonstrated experience in DevOps concepts and lifecycle
- Demonstrated experience in Site Reliability Engineering concepts and expectations
- Ability to break down complex problems, implement custom solutions and automate them in a secure manner
- Experience with systems integration, requirements analysis, and process implementation
- 3 or more years' experience in architecting or managing deployment pipelines based on industry standard tools, such as: Gitlab, Jenkins, Argo CD
- 2 or more years' experience with Infrastructure-as-Code concepts and tools, such as: Vault, Jenkins, Ansible, Terraform
- 1 or more years' experience in programming using one or more of the following: Java, C, Perl, Python, Ruby, or advanced Shell scripting
- Professional experience in containerized architectures, such as: Kubernetes, Docker
- Familiarity with Amazon EKS or Google GKE
- Understanding geographic load balancing and traffic management
- Experience with designing real-time monitoring using industry standard tools, such as: Prometheus, ElasticSearch, Grafana