DevOps Engineering Specialist responsible for system monitoring and support at Canada Life. Collaborating across business units to implement DevOps principles and migrate services.
Responsibilities
Ensure all solutions meet security and risk standards and comply with regulatory requirements as documented
Ensure all functional and non-functional requirements are met and measurable in all environments
Execute on the DevOps framework as defined by the Principal DevOps Engineering Specialist
Proactively identify areas of friction in current deployment processes and drive technical solution to remove impediments
Migrate existing services to new and existing digital stacks, while managing solutions by monitoring systems and events to avoid costly downtime
Ensure technology capabilities align with current and future business needs
Ensure alignment and adherence to enterprise technology, vendor management, and risk standards
Respond to critical and non-critical incidents based on priority and level of complexity
Work to validate and triage issues, and resolve where applicable
Manage ticket process from start to finish, interacting with other teams as necessary to identify and implement potential solutions
Requirements
2+ years of multi-disciplinary experience in a large, complex organization
Bachelors’ degree in Computer Science and/or Software Engineering or equivalent experience
Ability to build and maintain collaborative stakeholder relationships across multiple geographies and business functions
Ability to effectively communicate high-level concepts and solutions with technology and business teams
Strong knowledge of infrastructure solutions, specifically in relation to cloud programs, platform migration, system security, enterprise directories, and cloud technologies
Knowledge of cloud network topologies and technologies
Experience working with technologies such as Docker, Kubernetes, Terraform, Ansible or other Infrastructure as Code (IaC) tools
Expertise with CI/CD tooling such as Git, GitLab, Nexus, Vault etc.
Experience working with Azure and at least one of AWS or GCP with a willingness to continue to expand your knowledge
A self-starter with the ability to comfortably operate in ambiguity.
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