Senior Cloud Engineer- Remote, Canada

Responsibilities:

• Collaborate with cross-functional teams to build and deliver complex and highly available cloud and platform solutions for internal and external projects.
• Provide recommendations and expertise as it relates to cloud and platform provisioning within the organization.
• Participate in cloud and infrastructure deployments and delivery by providing subject matter expertise on infrastructure related components. 
• Develop and maintain infrastructure code for various solutions and provide support to clients or partners on Smile supported infrastructure codes.
• Maintain documentation, forms and processes to support Smile Digital Health business needs including but not limited to technical documentation, standard operating procedures, implementation plans and root cause analyses. 
• Participate in sprint, project and department planning for technology implementations and transformation. Contribute to tooling capability assessments, proof of concepts and technology roadmaps to ensure that organization adheres to industry best practices.
• Leverage novel cloud and platform technologies to enhance operations, maintenance and security across the organization. 
• Participate in on-call rotation to provide application and infrastructure support, incident management and troubleshooting, as required. 
• Accountable for ensuring that all working hours are accurately reported on a daily or weekly basis, that the majority of (if not all) hours are tracked (billable and non-billable) and that the project management tool is properly and fully utilized.  
• When applicable, tracking and reporting of billable hours is a critical aspect of project management and delivery to our customers and this is a major area of accountability.
• Comply with the privacy, security and confidentiality policies. 
• Hold all confidential information in trust and strict confidence and ensure that it shall be used only for the purposes required to fulfill employment obligations, and shall not be used for any other purpose, or disclosed to any third party.  A breach of policy or misuse of information could result in disciplinary action up to and including termination of employment. 

Requirements:

• 8+ years of experience in information technology, DevOps, infrastructure maintenance, system administration, cloud development, platform engineering and/or automation development.
• 5+ years supporting and developing templates and code for Kubernetes services,  including HELM manifest files. 
• 5+ years of experience in a role supporting and maintaining critical infrastructure, troubleshooting support escalations, and ensuring key KPIs. 
• Demonstrate deep knowledge on a multitude of Cloud services with hands-on experience building critical infrastructure from scratch. 
• Proven experience with building, maintaining, troubleshooting and supporting Kubernetes and serverless infrastructure. Must be able to build net new clusters and have experience with migrating applications.
• Experience with scripting and programming languages, including PowerShell, Python and Bash. 
• Skilled in troubleshooting performance issues using Apache JMeter, including time-consumption analysis, resource utilization assessment, and performance optimization recommendations.
• Proven experience translating architecture and technical requirements to new cloud infrastructure. 
• Intermediate certifications in Cloud required, including associate level certifications in AWS, Azure and GCP. Professional level certifications preferred. 
• Kubernetes related certifications, including but not limited to CKA, CKD and CKS. 
• Broad experience with a myriad of infrastructure core technologies including security, networking, database, data streaming, deployment automation and tooling, monitoring, logging, alerting and observability. 
• Excellent communication and collaboration skills with the ability to work with and support clients. 
• Demonstrated experience in maintaining documentation, including procedures, building books and technical standards

Additional Information:

• Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices. 
• This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.