Cloud Operations Engineer
3 weeks ago
This role is a strong advocate for cloud technology and engineering support necessary to drive Highmark Health's next-generation technologies. The intermediate-level incumbent works to adopt, expand, maintain, and optimize cloud usage across the organization through engineering support of cloud technologies and through automation builds and related technologies.
Key Responsibilities
Engineer and implement cloud-based technical architectures, migration approaches, deployment of cloud resources, and application optimizations that utilize automation technologies, sound redundant solutions, and enable business objectives.
Define cloud resource procurement and performance patterns through monitoring and tracking of usage and trends to optimize cloud spend and resource efficiency.
Propose ideas, designs, and solutions to senior or lead engineers to further cloud service utilization and optimization.
Develop automation scripts and other repeatable patterns to enable application and service teams to deploy software and services into cloud environments.
Perform research and analysis required for new cloud deployment proposals, existing cloud service modification, and other new cloud adoption to ultimately provide sound recommendations on best course of action.
Requirements
Bachelor's Degree in Cloud Computing, Computer and Information Science, Computer Engineering, Information Systems, Information Technology, or closely related discipline.
3 years with at least two modern programming languages (Java, JavaScript, BASH, PowerShell, etc.).
Experience doing operational support of at least one of the following cloud service providers for an organization: Google Cloud Platform, Azure, or Amazon Web Services.
Preferred Qualifications
Experience producing code that is fault-tolerant, efficient, and maintainable.
Experience designing, building, and deploying scalable cloud-based solution architectures through automation tools like Terraform or Ansible for example and versioning control via GitLab or similar tools.
Experience with standard IT security practices such as identity and access management, data protection, encryption, certificate, and key management.
Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
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